AdithyaSK commited on
Commit
0b8984e
·
verified ·
1 Parent(s): 8776f04

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,201 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ tags: []
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+ This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+
201
+
adapter_config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "google/gemma-7b-it",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layers_pattern": null,
10
+ "layers_to_transform": null,
11
+ "loftq_config": {},
12
+ "lora_alpha": 32,
13
+ "lora_dropout": 0.1,
14
+ "megatron_config": null,
15
+ "megatron_core": "megatron.core",
16
+ "modules_to_save": null,
17
+ "peft_type": "LORA",
18
+ "r": 64,
19
+ "rank_pattern": {},
20
+ "revision": null,
21
+ "target_modules": [
22
+ "q_proj",
23
+ "k_proj",
24
+ "up_proj",
25
+ "o_proj",
26
+ "down_proj",
27
+ "v_proj",
28
+ "gate_proj"
29
+ ],
30
+ "task_type": "CAUSAL_LM",
31
+ "use_rslora": false
32
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:020720702390035d7321bbfa149e3dbd3317c2792cb6c3ca44319d1e61baf745
3
+ size 800116456
config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "./Gemma-hindi-instruct-v0.1/",
3
+ "architectures": [
4
+ "GemmaForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 2,
9
+ "eos_token_id": 1,
10
+ "head_dim": 256,
11
+ "hidden_act": "gelu",
12
+ "hidden_size": 3072,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 24576,
15
+ "max_position_embeddings": 8192,
16
+ "model_type": "gemma",
17
+ "num_attention_heads": 16,
18
+ "num_hidden_layers": 28,
19
+ "num_key_value_heads": 16,
20
+ "pad_token_id": 0,
21
+ "rms_norm_eps": 1e-06,
22
+ "rope_scaling": null,
23
+ "rope_theta": 10000.0,
24
+ "torch_dtype": "float32",
25
+ "transformers_version": "4.38.0",
26
+ "use_cache": true,
27
+ "vocab_size": 256000
28
+ }
generation_config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 2,
4
+ "eos_token_id": 1,
5
+ "pad_token_id": 0,
6
+ "transformers_version": "4.38.0"
7
+ }
model-00001-of-00008.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:216b3631f09391f4b40c492b84a3f021fc88bac4860432fccaca28e8b0607eb5
3
+ size 4756367064
model-00002-of-00008.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:42c4670ea1a9deb371e1bdc2656d94b0ac9ffc8963e9e5e8b63418cbe472a6d3
3
+ size 4731277472
model-00003-of-00008.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:859ee9ed8d440b076db469ef00db5bead2c9bcec38728bcd713a22d9ce963700
3
+ size 4932629344
model-00004-of-00008.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:25fb09fa503cc0c1f92288ba62a5266b2aa9dcec551510f003b3ad9f69c6738d
3
+ size 4731277512
model-00005-of-00008.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:11358391a8b3dce389f4056beea0034a2e3079d27f4f1c16bfda1897bab839fe
3
+ size 4731277512
model-00006-of-00008.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:66ce39d572c5db54bb700b484e5da94be4f2d80897108778a0636061caa629a3
3
+ size 4932629384
model-00007-of-00008.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:26fdcb53717a36355fc80c4ed015bd26c8a1ce40e4874842f989c1bbd5a60661
3
+ size 4731277512
model-00008-of-00008.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3ccb98952f37ec41a019cb1ff47eb24df103c06cf244ba5a1d03f9dd5e79ff8d
3
+ size 604017208
model.safetensors.index.json ADDED
@@ -0,0 +1,261 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 34150723584
4
+ },
5
+ "weight_map": {
6
+ "model.embed_tokens.weight": "model-00001-of-00008.safetensors",
7
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00008.safetensors",
8
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00008.safetensors",
9
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00008.safetensors",
10
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00008.safetensors",
11
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00008.safetensors",
12
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00008.safetensors",
13
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00008.safetensors",
14
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00008.safetensors",
15
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00008.safetensors",
16
+ "model.layers.1.input_layernorm.weight": "model-00002-of-00008.safetensors",
17
+ "model.layers.1.mlp.down_proj.weight": "model-00002-of-00008.safetensors",
18
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00008.safetensors",
19
+ "model.layers.1.mlp.up_proj.weight": "model-00002-of-00008.safetensors",
20
+ "model.layers.1.post_attention_layernorm.weight": "model-00002-of-00008.safetensors",
21
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00008.safetensors",
22
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00008.safetensors",
23
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00008.safetensors",
24
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00008.safetensors",
25
+ "model.layers.10.input_layernorm.weight": "model-00004-of-00008.safetensors",
26
+ "model.layers.10.mlp.down_proj.weight": "model-00004-of-00008.safetensors",
27
+ "model.layers.10.mlp.gate_proj.weight": "model-00004-of-00008.safetensors",
28
+ "model.layers.10.mlp.up_proj.weight": "model-00004-of-00008.safetensors",
29
+ "model.layers.10.post_attention_layernorm.weight": "model-00004-of-00008.safetensors",
30
+ "model.layers.10.self_attn.k_proj.weight": "model-00003-of-00008.safetensors",
31
+ "model.layers.10.self_attn.o_proj.weight": "model-00003-of-00008.safetensors",
32
+ "model.layers.10.self_attn.q_proj.weight": "model-00003-of-00008.safetensors",
33
+ "model.layers.10.self_attn.v_proj.weight": "model-00003-of-00008.safetensors",
34
+ "model.layers.11.input_layernorm.weight": "model-00004-of-00008.safetensors",
35
+ "model.layers.11.mlp.down_proj.weight": "model-00004-of-00008.safetensors",
36
+ "model.layers.11.mlp.gate_proj.weight": "model-00004-of-00008.safetensors",
37
+ "model.layers.11.mlp.up_proj.weight": "model-00004-of-00008.safetensors",
38
+ "model.layers.11.post_attention_layernorm.weight": "model-00004-of-00008.safetensors",
39
+ "model.layers.11.self_attn.k_proj.weight": "model-00004-of-00008.safetensors",
40
+ "model.layers.11.self_attn.o_proj.weight": "model-00004-of-00008.safetensors",
41
+ "model.layers.11.self_attn.q_proj.weight": "model-00004-of-00008.safetensors",
42
+ "model.layers.11.self_attn.v_proj.weight": "model-00004-of-00008.safetensors",
43
+ "model.layers.12.input_layernorm.weight": "model-00004-of-00008.safetensors",
44
+ "model.layers.12.mlp.down_proj.weight": "model-00004-of-00008.safetensors",
45
+ "model.layers.12.mlp.gate_proj.weight": "model-00004-of-00008.safetensors",
46
+ "model.layers.12.mlp.up_proj.weight": "model-00004-of-00008.safetensors",
47
+ "model.layers.12.post_attention_layernorm.weight": "model-00004-of-00008.safetensors",
48
+ "model.layers.12.self_attn.k_proj.weight": "model-00004-of-00008.safetensors",
49
+ "model.layers.12.self_attn.o_proj.weight": "model-00004-of-00008.safetensors",
50
+ "model.layers.12.self_attn.q_proj.weight": "model-00004-of-00008.safetensors",
51
+ "model.layers.12.self_attn.v_proj.weight": "model-00004-of-00008.safetensors",
52
+ "model.layers.13.input_layernorm.weight": "model-00004-of-00008.safetensors",
53
+ "model.layers.13.mlp.down_proj.weight": "model-00004-of-00008.safetensors",
54
+ "model.layers.13.mlp.gate_proj.weight": "model-00004-of-00008.safetensors",
55
+ "model.layers.13.mlp.up_proj.weight": "model-00004-of-00008.safetensors",
56
+ "model.layers.13.post_attention_layernorm.weight": "model-00004-of-00008.safetensors",
57
+ "model.layers.13.self_attn.k_proj.weight": "model-00004-of-00008.safetensors",
58
+ "model.layers.13.self_attn.o_proj.weight": "model-00004-of-00008.safetensors",
59
+ "model.layers.13.self_attn.q_proj.weight": "model-00004-of-00008.safetensors",
60
+ "model.layers.13.self_attn.v_proj.weight": "model-00004-of-00008.safetensors",
61
+ "model.layers.14.input_layernorm.weight": "model-00005-of-00008.safetensors",
62
+ "model.layers.14.mlp.down_proj.weight": "model-00005-of-00008.safetensors",
63
+ "model.layers.14.mlp.gate_proj.weight": "model-00004-of-00008.safetensors",
64
+ "model.layers.14.mlp.up_proj.weight": "model-00005-of-00008.safetensors",
65
+ "model.layers.14.post_attention_layernorm.weight": "model-00005-of-00008.safetensors",
66
+ "model.layers.14.self_attn.k_proj.weight": "model-00004-of-00008.safetensors",
67
+ "model.layers.14.self_attn.o_proj.weight": "model-00004-of-00008.safetensors",
68
+ "model.layers.14.self_attn.q_proj.weight": "model-00004-of-00008.safetensors",
69
+ "model.layers.14.self_attn.v_proj.weight": "model-00004-of-00008.safetensors",
70
+ "model.layers.15.input_layernorm.weight": "model-00005-of-00008.safetensors",
71
+ "model.layers.15.mlp.down_proj.weight": "model-00005-of-00008.safetensors",
72
+ "model.layers.15.mlp.gate_proj.weight": "model-00005-of-00008.safetensors",
73
+ "model.layers.15.mlp.up_proj.weight": "model-00005-of-00008.safetensors",
74
+ "model.layers.15.post_attention_layernorm.weight": "model-00005-of-00008.safetensors",
75
+ "model.layers.15.self_attn.k_proj.weight": "model-00005-of-00008.safetensors",
76
+ "model.layers.15.self_attn.o_proj.weight": "model-00005-of-00008.safetensors",
77
+ "model.layers.15.self_attn.q_proj.weight": "model-00005-of-00008.safetensors",
78
+ "model.layers.15.self_attn.v_proj.weight": "model-00005-of-00008.safetensors",
79
+ "model.layers.16.input_layernorm.weight": "model-00005-of-00008.safetensors",
80
+ "model.layers.16.mlp.down_proj.weight": "model-00005-of-00008.safetensors",
81
+ "model.layers.16.mlp.gate_proj.weight": "model-00005-of-00008.safetensors",
82
+ "model.layers.16.mlp.up_proj.weight": "model-00005-of-00008.safetensors",
83
+ "model.layers.16.post_attention_layernorm.weight": "model-00005-of-00008.safetensors",
84
+ "model.layers.16.self_attn.k_proj.weight": "model-00005-of-00008.safetensors",
85
+ "model.layers.16.self_attn.o_proj.weight": "model-00005-of-00008.safetensors",
86
+ "model.layers.16.self_attn.q_proj.weight": "model-00005-of-00008.safetensors",
87
+ "model.layers.16.self_attn.v_proj.weight": "model-00005-of-00008.safetensors",
88
+ "model.layers.17.input_layernorm.weight": "model-00005-of-00008.safetensors",
89
+ "model.layers.17.mlp.down_proj.weight": "model-00005-of-00008.safetensors",
90
+ "model.layers.17.mlp.gate_proj.weight": "model-00005-of-00008.safetensors",
91
+ "model.layers.17.mlp.up_proj.weight": "model-00005-of-00008.safetensors",
92
+ "model.layers.17.post_attention_layernorm.weight": "model-00005-of-00008.safetensors",
93
+ "model.layers.17.self_attn.k_proj.weight": "model-00005-of-00008.safetensors",
94
+ "model.layers.17.self_attn.o_proj.weight": "model-00005-of-00008.safetensors",
95
+ "model.layers.17.self_attn.q_proj.weight": "model-00005-of-00008.safetensors",
96
+ "model.layers.17.self_attn.v_proj.weight": "model-00005-of-00008.safetensors",
97
+ "model.layers.18.input_layernorm.weight": "model-00006-of-00008.safetensors",
98
+ "model.layers.18.mlp.down_proj.weight": "model-00006-of-00008.safetensors",
99
+ "model.layers.18.mlp.gate_proj.weight": "model-00005-of-00008.safetensors",
100
+ "model.layers.18.mlp.up_proj.weight": "model-00005-of-00008.safetensors",
101
+ "model.layers.18.post_attention_layernorm.weight": "model-00006-of-00008.safetensors",
102
+ "model.layers.18.self_attn.k_proj.weight": "model-00005-of-00008.safetensors",
103
+ "model.layers.18.self_attn.o_proj.weight": "model-00005-of-00008.safetensors",
104
+ "model.layers.18.self_attn.q_proj.weight": "model-00005-of-00008.safetensors",
105
+ "model.layers.18.self_attn.v_proj.weight": "model-00005-of-00008.safetensors",
106
+ "model.layers.19.input_layernorm.weight": "model-00006-of-00008.safetensors",
107
+ "model.layers.19.mlp.down_proj.weight": "model-00006-of-00008.safetensors",
108
+ "model.layers.19.mlp.gate_proj.weight": "model-00006-of-00008.safetensors",
109
+ "model.layers.19.mlp.up_proj.weight": "model-00006-of-00008.safetensors",
110
+ "model.layers.19.post_attention_layernorm.weight": "model-00006-of-00008.safetensors",
111
+ "model.layers.19.self_attn.k_proj.weight": "model-00006-of-00008.safetensors",
112
+ "model.layers.19.self_attn.o_proj.weight": "model-00006-of-00008.safetensors",
113
+ "model.layers.19.self_attn.q_proj.weight": "model-00006-of-00008.safetensors",
114
+ "model.layers.19.self_attn.v_proj.weight": "model-00006-of-00008.safetensors",
115
+ "model.layers.2.input_layernorm.weight": "model-00002-of-00008.safetensors",
116
+ "model.layers.2.mlp.down_proj.weight": "model-00002-of-00008.safetensors",
117
+ "model.layers.2.mlp.gate_proj.weight": "model-00002-of-00008.safetensors",
118
+ "model.layers.2.mlp.up_proj.weight": "model-00002-of-00008.safetensors",
119
+ "model.layers.2.post_attention_layernorm.weight": "model-00002-of-00008.safetensors",
120
+ "model.layers.2.self_attn.k_proj.weight": "model-00002-of-00008.safetensors",
121
+ "model.layers.2.self_attn.o_proj.weight": "model-00002-of-00008.safetensors",
122
+ "model.layers.2.self_attn.q_proj.weight": "model-00002-of-00008.safetensors",
123
+ "model.layers.2.self_attn.v_proj.weight": "model-00002-of-00008.safetensors",
124
+ "model.layers.20.input_layernorm.weight": "model-00006-of-00008.safetensors",
125
+ "model.layers.20.mlp.down_proj.weight": "model-00006-of-00008.safetensors",
126
+ "model.layers.20.mlp.gate_proj.weight": "model-00006-of-00008.safetensors",
127
+ "model.layers.20.mlp.up_proj.weight": "model-00006-of-00008.safetensors",
128
+ "model.layers.20.post_attention_layernorm.weight": "model-00006-of-00008.safetensors",
129
+ "model.layers.20.self_attn.k_proj.weight": "model-00006-of-00008.safetensors",
130
+ "model.layers.20.self_attn.o_proj.weight": "model-00006-of-00008.safetensors",
131
+ "model.layers.20.self_attn.q_proj.weight": "model-00006-of-00008.safetensors",
132
+ "model.layers.20.self_attn.v_proj.weight": "model-00006-of-00008.safetensors",
133
+ "model.layers.21.input_layernorm.weight": "model-00006-of-00008.safetensors",
134
+ "model.layers.21.mlp.down_proj.weight": "model-00006-of-00008.safetensors",
135
+ "model.layers.21.mlp.gate_proj.weight": "model-00006-of-00008.safetensors",
136
+ "model.layers.21.mlp.up_proj.weight": "model-00006-of-00008.safetensors",
137
+ "model.layers.21.post_attention_layernorm.weight": "model-00006-of-00008.safetensors",
138
+ "model.layers.21.self_attn.k_proj.weight": "model-00006-of-00008.safetensors",
139
+ "model.layers.21.self_attn.o_proj.weight": "model-00006-of-00008.safetensors",
140
+ "model.layers.21.self_attn.q_proj.weight": "model-00006-of-00008.safetensors",
141
+ "model.layers.21.self_attn.v_proj.weight": "model-00006-of-00008.safetensors",
142
+ "model.layers.22.input_layernorm.weight": "model-00006-of-00008.safetensors",
143
+ "model.layers.22.mlp.down_proj.weight": "model-00006-of-00008.safetensors",
144
+ "model.layers.22.mlp.gate_proj.weight": "model-00006-of-00008.safetensors",
145
+ "model.layers.22.mlp.up_proj.weight": "model-00006-of-00008.safetensors",
146
+ "model.layers.22.post_attention_layernorm.weight": "model-00006-of-00008.safetensors",
147
+ "model.layers.22.self_attn.k_proj.weight": "model-00006-of-00008.safetensors",
148
+ "model.layers.22.self_attn.o_proj.weight": "model-00006-of-00008.safetensors",
149
+ "model.layers.22.self_attn.q_proj.weight": "model-00006-of-00008.safetensors",
150
+ "model.layers.22.self_attn.v_proj.weight": "model-00006-of-00008.safetensors",
151
+ "model.layers.23.input_layernorm.weight": "model-00007-of-00008.safetensors",
152
+ "model.layers.23.mlp.down_proj.weight": "model-00007-of-00008.safetensors",
153
+ "model.layers.23.mlp.gate_proj.weight": "model-00007-of-00008.safetensors",
154
+ "model.layers.23.mlp.up_proj.weight": "model-00007-of-00008.safetensors",
155
+ "model.layers.23.post_attention_layernorm.weight": "model-00007-of-00008.safetensors",
156
+ "model.layers.23.self_attn.k_proj.weight": "model-00006-of-00008.safetensors",
157
+ "model.layers.23.self_attn.o_proj.weight": "model-00006-of-00008.safetensors",
158
+ "model.layers.23.self_attn.q_proj.weight": "model-00006-of-00008.safetensors",
159
+ "model.layers.23.self_attn.v_proj.weight": "model-00006-of-00008.safetensors",
160
+ "model.layers.24.input_layernorm.weight": "model-00007-of-00008.safetensors",
161
+ "model.layers.24.mlp.down_proj.weight": "model-00007-of-00008.safetensors",
162
+ "model.layers.24.mlp.gate_proj.weight": "model-00007-of-00008.safetensors",
163
+ "model.layers.24.mlp.up_proj.weight": "model-00007-of-00008.safetensors",
164
+ "model.layers.24.post_attention_layernorm.weight": "model-00007-of-00008.safetensors",
165
+ "model.layers.24.self_attn.k_proj.weight": "model-00007-of-00008.safetensors",
166
+ "model.layers.24.self_attn.o_proj.weight": "model-00007-of-00008.safetensors",
167
+ "model.layers.24.self_attn.q_proj.weight": "model-00007-of-00008.safetensors",
168
+ "model.layers.24.self_attn.v_proj.weight": "model-00007-of-00008.safetensors",
169
+ "model.layers.25.input_layernorm.weight": "model-00007-of-00008.safetensors",
170
+ "model.layers.25.mlp.down_proj.weight": "model-00007-of-00008.safetensors",
171
+ "model.layers.25.mlp.gate_proj.weight": "model-00007-of-00008.safetensors",
172
+ "model.layers.25.mlp.up_proj.weight": "model-00007-of-00008.safetensors",
173
+ "model.layers.25.post_attention_layernorm.weight": "model-00007-of-00008.safetensors",
174
+ "model.layers.25.self_attn.k_proj.weight": "model-00007-of-00008.safetensors",
175
+ "model.layers.25.self_attn.o_proj.weight": "model-00007-of-00008.safetensors",
176
+ "model.layers.25.self_attn.q_proj.weight": "model-00007-of-00008.safetensors",
177
+ "model.layers.25.self_attn.v_proj.weight": "model-00007-of-00008.safetensors",
178
+ "model.layers.26.input_layernorm.weight": "model-00007-of-00008.safetensors",
179
+ "model.layers.26.mlp.down_proj.weight": "model-00007-of-00008.safetensors",
180
+ "model.layers.26.mlp.gate_proj.weight": "model-00007-of-00008.safetensors",
181
+ "model.layers.26.mlp.up_proj.weight": "model-00007-of-00008.safetensors",
182
+ "model.layers.26.post_attention_layernorm.weight": "model-00007-of-00008.safetensors",
183
+ "model.layers.26.self_attn.k_proj.weight": "model-00007-of-00008.safetensors",
184
+ "model.layers.26.self_attn.o_proj.weight": "model-00007-of-00008.safetensors",
185
+ "model.layers.26.self_attn.q_proj.weight": "model-00007-of-00008.safetensors",
186
+ "model.layers.26.self_attn.v_proj.weight": "model-00007-of-00008.safetensors",
187
+ "model.layers.27.input_layernorm.weight": "model-00008-of-00008.safetensors",
188
+ "model.layers.27.mlp.down_proj.weight": "model-00008-of-00008.safetensors",
189
+ "model.layers.27.mlp.gate_proj.weight": "model-00007-of-00008.safetensors",
190
+ "model.layers.27.mlp.up_proj.weight": "model-00008-of-00008.safetensors",
191
+ "model.layers.27.post_attention_layernorm.weight": "model-00008-of-00008.safetensors",
192
+ "model.layers.27.self_attn.k_proj.weight": "model-00007-of-00008.safetensors",
193
+ "model.layers.27.self_attn.o_proj.weight": "model-00007-of-00008.safetensors",
194
+ "model.layers.27.self_attn.q_proj.weight": "model-00007-of-00008.safetensors",
195
+ "model.layers.27.self_attn.v_proj.weight": "model-00007-of-00008.safetensors",
196
+ "model.layers.3.input_layernorm.weight": "model-00002-of-00008.safetensors",
197
+ "model.layers.3.mlp.down_proj.weight": "model-00002-of-00008.safetensors",
198
+ "model.layers.3.mlp.gate_proj.weight": "model-00002-of-00008.safetensors",
199
+ "model.layers.3.mlp.up_proj.weight": "model-00002-of-00008.safetensors",
200
+ "model.layers.3.post_attention_layernorm.weight": "model-00002-of-00008.safetensors",
201
+ "model.layers.3.self_attn.k_proj.weight": "model-00002-of-00008.safetensors",
202
+ "model.layers.3.self_attn.o_proj.weight": "model-00002-of-00008.safetensors",
203
+ "model.layers.3.self_attn.q_proj.weight": "model-00002-of-00008.safetensors",
204
+ "model.layers.3.self_attn.v_proj.weight": "model-00002-of-00008.safetensors",
205
+ "model.layers.4.input_layernorm.weight": "model-00002-of-00008.safetensors",
206
+ "model.layers.4.mlp.down_proj.weight": "model-00002-of-00008.safetensors",
207
+ "model.layers.4.mlp.gate_proj.weight": "model-00002-of-00008.safetensors",
208
+ "model.layers.4.mlp.up_proj.weight": "model-00002-of-00008.safetensors",
209
+ "model.layers.4.post_attention_layernorm.weight": "model-00002-of-00008.safetensors",
210
+ "model.layers.4.self_attn.k_proj.weight": "model-00002-of-00008.safetensors",
211
+ "model.layers.4.self_attn.o_proj.weight": "model-00002-of-00008.safetensors",
212
+ "model.layers.4.self_attn.q_proj.weight": "model-00002-of-00008.safetensors",
213
+ "model.layers.4.self_attn.v_proj.weight": "model-00002-of-00008.safetensors",
214
+ "model.layers.5.input_layernorm.weight": "model-00003-of-00008.safetensors",
215
+ "model.layers.5.mlp.down_proj.weight": "model-00003-of-00008.safetensors",
216
+ "model.layers.5.mlp.gate_proj.weight": "model-00002-of-00008.safetensors",
217
+ "model.layers.5.mlp.up_proj.weight": "model-00002-of-00008.safetensors",
218
+ "model.layers.5.post_attention_layernorm.weight": "model-00003-of-00008.safetensors",
219
+ "model.layers.5.self_attn.k_proj.weight": "model-00002-of-00008.safetensors",
220
+ "model.layers.5.self_attn.o_proj.weight": "model-00002-of-00008.safetensors",
221
+ "model.layers.5.self_attn.q_proj.weight": "model-00002-of-00008.safetensors",
222
+ "model.layers.5.self_attn.v_proj.weight": "model-00002-of-00008.safetensors",
223
+ "model.layers.6.input_layernorm.weight": "model-00003-of-00008.safetensors",
224
+ "model.layers.6.mlp.down_proj.weight": "model-00003-of-00008.safetensors",
225
+ "model.layers.6.mlp.gate_proj.weight": "model-00003-of-00008.safetensors",
226
+ "model.layers.6.mlp.up_proj.weight": "model-00003-of-00008.safetensors",
227
+ "model.layers.6.post_attention_layernorm.weight": "model-00003-of-00008.safetensors",
228
+ "model.layers.6.self_attn.k_proj.weight": "model-00003-of-00008.safetensors",
229
+ "model.layers.6.self_attn.o_proj.weight": "model-00003-of-00008.safetensors",
230
+ "model.layers.6.self_attn.q_proj.weight": "model-00003-of-00008.safetensors",
231
+ "model.layers.6.self_attn.v_proj.weight": "model-00003-of-00008.safetensors",
232
+ "model.layers.7.input_layernorm.weight": "model-00003-of-00008.safetensors",
233
+ "model.layers.7.mlp.down_proj.weight": "model-00003-of-00008.safetensors",
234
+ "model.layers.7.mlp.gate_proj.weight": "model-00003-of-00008.safetensors",
235
+ "model.layers.7.mlp.up_proj.weight": "model-00003-of-00008.safetensors",
236
+ "model.layers.7.post_attention_layernorm.weight": "model-00003-of-00008.safetensors",
237
+ "model.layers.7.self_attn.k_proj.weight": "model-00003-of-00008.safetensors",
238
+ "model.layers.7.self_attn.o_proj.weight": "model-00003-of-00008.safetensors",
239
+ "model.layers.7.self_attn.q_proj.weight": "model-00003-of-00008.safetensors",
240
+ "model.layers.7.self_attn.v_proj.weight": "model-00003-of-00008.safetensors",
241
+ "model.layers.8.input_layernorm.weight": "model-00003-of-00008.safetensors",
242
+ "model.layers.8.mlp.down_proj.weight": "model-00003-of-00008.safetensors",
243
+ "model.layers.8.mlp.gate_proj.weight": "model-00003-of-00008.safetensors",
244
+ "model.layers.8.mlp.up_proj.weight": "model-00003-of-00008.safetensors",
245
+ "model.layers.8.post_attention_layernorm.weight": "model-00003-of-00008.safetensors",
246
+ "model.layers.8.self_attn.k_proj.weight": "model-00003-of-00008.safetensors",
247
+ "model.layers.8.self_attn.o_proj.weight": "model-00003-of-00008.safetensors",
248
+ "model.layers.8.self_attn.q_proj.weight": "model-00003-of-00008.safetensors",
249
+ "model.layers.8.self_attn.v_proj.weight": "model-00003-of-00008.safetensors",
250
+ "model.layers.9.input_layernorm.weight": "model-00003-of-00008.safetensors",
251
+ "model.layers.9.mlp.down_proj.weight": "model-00003-of-00008.safetensors",
252
+ "model.layers.9.mlp.gate_proj.weight": "model-00003-of-00008.safetensors",
253
+ "model.layers.9.mlp.up_proj.weight": "model-00003-of-00008.safetensors",
254
+ "model.layers.9.post_attention_layernorm.weight": "model-00003-of-00008.safetensors",
255
+ "model.layers.9.self_attn.k_proj.weight": "model-00003-of-00008.safetensors",
256
+ "model.layers.9.self_attn.o_proj.weight": "model-00003-of-00008.safetensors",
257
+ "model.layers.9.self_attn.q_proj.weight": "model-00003-of-00008.safetensors",
258
+ "model.layers.9.self_attn.v_proj.weight": "model-00003-of-00008.safetensors",
259
+ "model.norm.weight": "model-00008-of-00008.safetensors"
260
+ }
261
+ }
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5293adfd05ef480baf63909aab6ba61400a437969ebad80cb1a58b899a41c88b
3
+ size 1600369530
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a5bf78f6ad986b599b474d66e589243dd4a4342d6aed0db5728a6ad426307484
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:81007ec48272bbdc4f9622c046f9c026bf8120ed11d1398fd97bb5168a6f3dda
3
+ size 1064
special_tokens_map.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<start_of_turn>",
4
+ "<end_of_turn>"
5
+ ],
6
+ "bos_token": {
7
+ "content": "<bos>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "eos_token": {
14
+ "content": "<eos>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ },
20
+ "pad_token": {
21
+ "content": "<pad>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false
26
+ },
27
+ "unk_token": {
28
+ "content": "<unk>",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false
33
+ }
34
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:05e97791a5e007260de1db7e1692e53150e08cea481e2bf25435553380c147ee
3
+ size 17477929
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6969e64047744a44bb3abfb5c50f8de0f7ed8b571d5444426ef931f651d1a0ef
3
+ size 4241111
tokenizer_config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
5
+ "0": {
6
+ "content": "<pad>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<eos>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "<bos>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "3": {
30
+ "content": "<unk>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "106": {
38
+ "content": "<start_of_turn>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "107": {
46
+ "content": "<end_of_turn>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ }
53
+ },
54
+ "additional_special_tokens": [
55
+ "<start_of_turn>",
56
+ "<end_of_turn>"
57
+ ],
58
+ "bos_token": "<bos>",
59
+ "chat_template": "{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '\n' + message['content'] | trim + '<end_of_turn>\n' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model\n'}}{% endif %}",
60
+ "clean_up_tokenization_spaces": false,
61
+ "eos_token": "<eos>",
62
+ "legacy": null,
63
+ "model_max_length": 1000000000000000019884624838656,
64
+ "pad_token": "<pad>",
65
+ "sp_model_kwargs": {},
66
+ "spaces_between_special_tokens": false,
67
+ "tokenizer_class": "GemmaTokenizer",
68
+ "unk_token": "<unk>",
69
+ "use_default_system_prompt": false
70
+ }
trainer_state.json ADDED
@@ -0,0 +1,721 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.935672514619883,
5
+ "eval_steps": 500,
6
+ "global_step": 100,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.01,
13
+ "grad_norm": 2.949489116668701,
14
+ "learning_rate": 0.0002,
15
+ "loss": 6.8731,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.02,
20
+ "grad_norm": 1.4809715747833252,
21
+ "learning_rate": 0.0002,
22
+ "loss": 5.7442,
23
+ "step": 2
24
+ },
25
+ {
26
+ "epoch": 0.03,
27
+ "grad_norm": 2.701913595199585,
28
+ "learning_rate": 0.0002,
29
+ "loss": 5.3638,
30
+ "step": 3
31
+ },
32
+ {
33
+ "epoch": 0.04,
34
+ "grad_norm": 2.2592666149139404,
35
+ "learning_rate": 0.0002,
36
+ "loss": 4.7664,
37
+ "step": 4
38
+ },
39
+ {
40
+ "epoch": 0.05,
41
+ "grad_norm": 1.6057344675064087,
42
+ "learning_rate": 0.0002,
43
+ "loss": 4.7581,
44
+ "step": 5
45
+ },
46
+ {
47
+ "epoch": 0.06,
48
+ "grad_norm": 1.9201135635375977,
49
+ "learning_rate": 0.0002,
50
+ "loss": 4.5088,
51
+ "step": 6
52
+ },
53
+ {
54
+ "epoch": 0.07,
55
+ "grad_norm": 2.3088886737823486,
56
+ "learning_rate": 0.0002,
57
+ "loss": 4.1351,
58
+ "step": 7
59
+ },
60
+ {
61
+ "epoch": 0.07,
62
+ "grad_norm": 3.622396945953369,
63
+ "learning_rate": 0.0002,
64
+ "loss": 4.5207,
65
+ "step": 8
66
+ },
67
+ {
68
+ "epoch": 0.08,
69
+ "grad_norm": 5.80634880065918,
70
+ "learning_rate": 0.0002,
71
+ "loss": 4.1157,
72
+ "step": 9
73
+ },
74
+ {
75
+ "epoch": 0.09,
76
+ "grad_norm": 4.79710578918457,
77
+ "learning_rate": 0.0002,
78
+ "loss": 3.3101,
79
+ "step": 10
80
+ },
81
+ {
82
+ "epoch": 0.1,
83
+ "grad_norm": 7.330948352813721,
84
+ "learning_rate": 0.0002,
85
+ "loss": 3.4536,
86
+ "step": 11
87
+ },
88
+ {
89
+ "epoch": 0.11,
90
+ "grad_norm": 6.117642879486084,
91
+ "learning_rate": 0.0002,
92
+ "loss": 3.1297,
93
+ "step": 12
94
+ },
95
+ {
96
+ "epoch": 0.12,
97
+ "grad_norm": 4.200116157531738,
98
+ "learning_rate": 0.0002,
99
+ "loss": 2.5508,
100
+ "step": 13
101
+ },
102
+ {
103
+ "epoch": 0.13,
104
+ "grad_norm": 3.4331789016723633,
105
+ "learning_rate": 0.0002,
106
+ "loss": 2.2032,
107
+ "step": 14
108
+ },
109
+ {
110
+ "epoch": 0.14,
111
+ "grad_norm": 0.8927509784698486,
112
+ "learning_rate": 0.0002,
113
+ "loss": 2.1005,
114
+ "step": 15
115
+ },
116
+ {
117
+ "epoch": 0.15,
118
+ "grad_norm": 0.9786716103553772,
119
+ "learning_rate": 0.0002,
120
+ "loss": 2.1406,
121
+ "step": 16
122
+ },
123
+ {
124
+ "epoch": 0.16,
125
+ "grad_norm": 0.8695776462554932,
126
+ "learning_rate": 0.0002,
127
+ "loss": 1.9371,
128
+ "step": 17
129
+ },
130
+ {
131
+ "epoch": 0.17,
132
+ "grad_norm": 0.8738767504692078,
133
+ "learning_rate": 0.0002,
134
+ "loss": 1.9745,
135
+ "step": 18
136
+ },
137
+ {
138
+ "epoch": 0.18,
139
+ "grad_norm": 7.5855231285095215,
140
+ "learning_rate": 0.0002,
141
+ "loss": 2.0879,
142
+ "step": 19
143
+ },
144
+ {
145
+ "epoch": 0.19,
146
+ "grad_norm": 1.1819020509719849,
147
+ "learning_rate": 0.0002,
148
+ "loss": 1.903,
149
+ "step": 20
150
+ },
151
+ {
152
+ "epoch": 0.2,
153
+ "grad_norm": 1.0826493501663208,
154
+ "learning_rate": 0.0002,
155
+ "loss": 1.9642,
156
+ "step": 21
157
+ },
158
+ {
159
+ "epoch": 0.21,
160
+ "grad_norm": 0.9060399532318115,
161
+ "learning_rate": 0.0002,
162
+ "loss": 1.9963,
163
+ "step": 22
164
+ },
165
+ {
166
+ "epoch": 0.22,
167
+ "grad_norm": 0.7423937916755676,
168
+ "learning_rate": 0.0002,
169
+ "loss": 1.9192,
170
+ "step": 23
171
+ },
172
+ {
173
+ "epoch": 0.22,
174
+ "grad_norm": 0.6615855097770691,
175
+ "learning_rate": 0.0002,
176
+ "loss": 1.8811,
177
+ "step": 24
178
+ },
179
+ {
180
+ "epoch": 0.23,
181
+ "grad_norm": 0.700908362865448,
182
+ "learning_rate": 0.0002,
183
+ "loss": 1.8524,
184
+ "step": 25
185
+ },
186
+ {
187
+ "epoch": 0.24,
188
+ "grad_norm": 0.5277789831161499,
189
+ "learning_rate": 0.0002,
190
+ "loss": 1.8696,
191
+ "step": 26
192
+ },
193
+ {
194
+ "epoch": 0.25,
195
+ "grad_norm": 0.42331141233444214,
196
+ "learning_rate": 0.0002,
197
+ "loss": 1.7229,
198
+ "step": 27
199
+ },
200
+ {
201
+ "epoch": 0.26,
202
+ "grad_norm": 0.42249181866645813,
203
+ "learning_rate": 0.0002,
204
+ "loss": 1.7733,
205
+ "step": 28
206
+ },
207
+ {
208
+ "epoch": 0.27,
209
+ "grad_norm": 0.4419895112514496,
210
+ "learning_rate": 0.0002,
211
+ "loss": 1.7343,
212
+ "step": 29
213
+ },
214
+ {
215
+ "epoch": 0.28,
216
+ "grad_norm": 0.5018438100814819,
217
+ "learning_rate": 0.0002,
218
+ "loss": 1.6586,
219
+ "step": 30
220
+ },
221
+ {
222
+ "epoch": 0.29,
223
+ "grad_norm": 0.5385031700134277,
224
+ "learning_rate": 0.0002,
225
+ "loss": 1.7018,
226
+ "step": 31
227
+ },
228
+ {
229
+ "epoch": 0.3,
230
+ "grad_norm": 0.4651014506816864,
231
+ "learning_rate": 0.0002,
232
+ "loss": 1.7329,
233
+ "step": 32
234
+ },
235
+ {
236
+ "epoch": 0.31,
237
+ "grad_norm": 0.6264488101005554,
238
+ "learning_rate": 0.0002,
239
+ "loss": 1.5911,
240
+ "step": 33
241
+ },
242
+ {
243
+ "epoch": 0.32,
244
+ "grad_norm": 0.46918559074401855,
245
+ "learning_rate": 0.0002,
246
+ "loss": 1.6609,
247
+ "step": 34
248
+ },
249
+ {
250
+ "epoch": 0.33,
251
+ "grad_norm": 0.6417805552482605,
252
+ "learning_rate": 0.0002,
253
+ "loss": 1.6976,
254
+ "step": 35
255
+ },
256
+ {
257
+ "epoch": 0.34,
258
+ "grad_norm": 0.5029424428939819,
259
+ "learning_rate": 0.0002,
260
+ "loss": 1.7227,
261
+ "step": 36
262
+ },
263
+ {
264
+ "epoch": 0.35,
265
+ "grad_norm": 0.6494549512863159,
266
+ "learning_rate": 0.0002,
267
+ "loss": 1.6332,
268
+ "step": 37
269
+ },
270
+ {
271
+ "epoch": 0.36,
272
+ "grad_norm": 0.5361642241477966,
273
+ "learning_rate": 0.0002,
274
+ "loss": 1.6417,
275
+ "step": 38
276
+ },
277
+ {
278
+ "epoch": 0.36,
279
+ "grad_norm": 0.8852269649505615,
280
+ "learning_rate": 0.0002,
281
+ "loss": 1.7352,
282
+ "step": 39
283
+ },
284
+ {
285
+ "epoch": 0.37,
286
+ "grad_norm": 0.72622150182724,
287
+ "learning_rate": 0.0002,
288
+ "loss": 1.6965,
289
+ "step": 40
290
+ },
291
+ {
292
+ "epoch": 0.38,
293
+ "grad_norm": 0.578904390335083,
294
+ "learning_rate": 0.0002,
295
+ "loss": 1.7407,
296
+ "step": 41
297
+ },
298
+ {
299
+ "epoch": 0.39,
300
+ "grad_norm": 0.5193885564804077,
301
+ "learning_rate": 0.0002,
302
+ "loss": 1.6437,
303
+ "step": 42
304
+ },
305
+ {
306
+ "epoch": 0.4,
307
+ "grad_norm": 0.5035353302955627,
308
+ "learning_rate": 0.0002,
309
+ "loss": 1.5735,
310
+ "step": 43
311
+ },
312
+ {
313
+ "epoch": 0.41,
314
+ "grad_norm": 0.8882142305374146,
315
+ "learning_rate": 0.0002,
316
+ "loss": 1.7808,
317
+ "step": 44
318
+ },
319
+ {
320
+ "epoch": 0.42,
321
+ "grad_norm": 0.5434024333953857,
322
+ "learning_rate": 0.0002,
323
+ "loss": 1.638,
324
+ "step": 45
325
+ },
326
+ {
327
+ "epoch": 0.43,
328
+ "grad_norm": 0.7970778346061707,
329
+ "learning_rate": 0.0002,
330
+ "loss": 1.621,
331
+ "step": 46
332
+ },
333
+ {
334
+ "epoch": 0.44,
335
+ "grad_norm": 0.5033506751060486,
336
+ "learning_rate": 0.0002,
337
+ "loss": 1.6199,
338
+ "step": 47
339
+ },
340
+ {
341
+ "epoch": 0.45,
342
+ "grad_norm": 0.8881465196609497,
343
+ "learning_rate": 0.0002,
344
+ "loss": 1.7907,
345
+ "step": 48
346
+ },
347
+ {
348
+ "epoch": 0.46,
349
+ "grad_norm": 0.741858184337616,
350
+ "learning_rate": 0.0002,
351
+ "loss": 1.6585,
352
+ "step": 49
353
+ },
354
+ {
355
+ "epoch": 0.47,
356
+ "grad_norm": 0.8896893858909607,
357
+ "learning_rate": 0.0002,
358
+ "loss": 1.7583,
359
+ "step": 50
360
+ },
361
+ {
362
+ "epoch": 0.48,
363
+ "grad_norm": 0.6767799854278564,
364
+ "learning_rate": 0.0002,
365
+ "loss": 1.6116,
366
+ "step": 51
367
+ },
368
+ {
369
+ "epoch": 0.49,
370
+ "grad_norm": 0.6831919550895691,
371
+ "learning_rate": 0.0002,
372
+ "loss": 1.5806,
373
+ "step": 52
374
+ },
375
+ {
376
+ "epoch": 0.5,
377
+ "grad_norm": 0.6259914040565491,
378
+ "learning_rate": 0.0002,
379
+ "loss": 1.6619,
380
+ "step": 53
381
+ },
382
+ {
383
+ "epoch": 0.51,
384
+ "grad_norm": 0.9376181960105896,
385
+ "learning_rate": 0.0002,
386
+ "loss": 1.6375,
387
+ "step": 54
388
+ },
389
+ {
390
+ "epoch": 0.51,
391
+ "grad_norm": 0.7372838854789734,
392
+ "learning_rate": 0.0002,
393
+ "loss": 1.5599,
394
+ "step": 55
395
+ },
396
+ {
397
+ "epoch": 0.52,
398
+ "grad_norm": 0.5478132367134094,
399
+ "learning_rate": 0.0002,
400
+ "loss": 1.6093,
401
+ "step": 56
402
+ },
403
+ {
404
+ "epoch": 0.53,
405
+ "grad_norm": 0.9254269599914551,
406
+ "learning_rate": 0.0002,
407
+ "loss": 1.7051,
408
+ "step": 57
409
+ },
410
+ {
411
+ "epoch": 0.54,
412
+ "grad_norm": 0.7650561332702637,
413
+ "learning_rate": 0.0002,
414
+ "loss": 1.6095,
415
+ "step": 58
416
+ },
417
+ {
418
+ "epoch": 0.55,
419
+ "grad_norm": 0.612433135509491,
420
+ "learning_rate": 0.0002,
421
+ "loss": 1.5595,
422
+ "step": 59
423
+ },
424
+ {
425
+ "epoch": 0.56,
426
+ "grad_norm": 0.4704805314540863,
427
+ "learning_rate": 0.0002,
428
+ "loss": 1.6785,
429
+ "step": 60
430
+ },
431
+ {
432
+ "epoch": 0.57,
433
+ "grad_norm": 0.705121636390686,
434
+ "learning_rate": 0.0002,
435
+ "loss": 1.6318,
436
+ "step": 61
437
+ },
438
+ {
439
+ "epoch": 0.58,
440
+ "grad_norm": 0.7150620222091675,
441
+ "learning_rate": 0.0002,
442
+ "loss": 1.5746,
443
+ "step": 62
444
+ },
445
+ {
446
+ "epoch": 0.59,
447
+ "grad_norm": 0.5674924254417419,
448
+ "learning_rate": 0.0002,
449
+ "loss": 1.5223,
450
+ "step": 63
451
+ },
452
+ {
453
+ "epoch": 0.6,
454
+ "grad_norm": 0.5296141505241394,
455
+ "learning_rate": 0.0002,
456
+ "loss": 1.5045,
457
+ "step": 64
458
+ },
459
+ {
460
+ "epoch": 0.61,
461
+ "grad_norm": 0.43603238463401794,
462
+ "learning_rate": 0.0002,
463
+ "loss": 1.6686,
464
+ "step": 65
465
+ },
466
+ {
467
+ "epoch": 0.62,
468
+ "grad_norm": 0.3482309877872467,
469
+ "learning_rate": 0.0002,
470
+ "loss": 1.6189,
471
+ "step": 66
472
+ },
473
+ {
474
+ "epoch": 0.63,
475
+ "grad_norm": 0.4482012987136841,
476
+ "learning_rate": 0.0002,
477
+ "loss": 1.6339,
478
+ "step": 67
479
+ },
480
+ {
481
+ "epoch": 0.64,
482
+ "grad_norm": 0.47700467705726624,
483
+ "learning_rate": 0.0002,
484
+ "loss": 1.5819,
485
+ "step": 68
486
+ },
487
+ {
488
+ "epoch": 0.65,
489
+ "grad_norm": 0.5465943813323975,
490
+ "learning_rate": 0.0002,
491
+ "loss": 1.5073,
492
+ "step": 69
493
+ },
494
+ {
495
+ "epoch": 0.65,
496
+ "grad_norm": 0.41377145051956177,
497
+ "learning_rate": 0.0002,
498
+ "loss": 1.5552,
499
+ "step": 70
500
+ },
501
+ {
502
+ "epoch": 0.66,
503
+ "grad_norm": 0.5941596031188965,
504
+ "learning_rate": 0.0002,
505
+ "loss": 1.505,
506
+ "step": 71
507
+ },
508
+ {
509
+ "epoch": 0.67,
510
+ "grad_norm": 0.6071710586547852,
511
+ "learning_rate": 0.0002,
512
+ "loss": 1.558,
513
+ "step": 72
514
+ },
515
+ {
516
+ "epoch": 0.68,
517
+ "grad_norm": 0.5148259401321411,
518
+ "learning_rate": 0.0002,
519
+ "loss": 1.4633,
520
+ "step": 73
521
+ },
522
+ {
523
+ "epoch": 0.69,
524
+ "grad_norm": 1.30810546875,
525
+ "learning_rate": 0.0002,
526
+ "loss": 1.4482,
527
+ "step": 74
528
+ },
529
+ {
530
+ "epoch": 0.7,
531
+ "grad_norm": 1.4432346820831299,
532
+ "learning_rate": 0.0002,
533
+ "loss": 1.5734,
534
+ "step": 75
535
+ },
536
+ {
537
+ "epoch": 0.71,
538
+ "grad_norm": 0.689092218875885,
539
+ "learning_rate": 0.0002,
540
+ "loss": 1.5621,
541
+ "step": 76
542
+ },
543
+ {
544
+ "epoch": 0.72,
545
+ "grad_norm": 0.6650224328041077,
546
+ "learning_rate": 0.0002,
547
+ "loss": 1.5063,
548
+ "step": 77
549
+ },
550
+ {
551
+ "epoch": 0.73,
552
+ "grad_norm": 0.728783905506134,
553
+ "learning_rate": 0.0002,
554
+ "loss": 1.518,
555
+ "step": 78
556
+ },
557
+ {
558
+ "epoch": 0.74,
559
+ "grad_norm": 0.7941334247589111,
560
+ "learning_rate": 0.0002,
561
+ "loss": 1.5284,
562
+ "step": 79
563
+ },
564
+ {
565
+ "epoch": 0.75,
566
+ "grad_norm": 0.8526914119720459,
567
+ "learning_rate": 0.0002,
568
+ "loss": 1.4954,
569
+ "step": 80
570
+ },
571
+ {
572
+ "epoch": 0.76,
573
+ "grad_norm": 0.9384956359863281,
574
+ "learning_rate": 0.0002,
575
+ "loss": 1.5753,
576
+ "step": 81
577
+ },
578
+ {
579
+ "epoch": 0.77,
580
+ "grad_norm": 0.5513901114463806,
581
+ "learning_rate": 0.0002,
582
+ "loss": 1.5513,
583
+ "step": 82
584
+ },
585
+ {
586
+ "epoch": 0.78,
587
+ "grad_norm": 0.7507538795471191,
588
+ "learning_rate": 0.0002,
589
+ "loss": 1.5172,
590
+ "step": 83
591
+ },
592
+ {
593
+ "epoch": 0.79,
594
+ "grad_norm": 0.40390703082084656,
595
+ "learning_rate": 0.0002,
596
+ "loss": 1.5035,
597
+ "step": 84
598
+ },
599
+ {
600
+ "epoch": 0.8,
601
+ "grad_norm": 0.8725360631942749,
602
+ "learning_rate": 0.0002,
603
+ "loss": 1.6118,
604
+ "step": 85
605
+ },
606
+ {
607
+ "epoch": 0.8,
608
+ "grad_norm": 0.4920073449611664,
609
+ "learning_rate": 0.0002,
610
+ "loss": 1.5111,
611
+ "step": 86
612
+ },
613
+ {
614
+ "epoch": 0.81,
615
+ "grad_norm": 0.5495926737785339,
616
+ "learning_rate": 0.0002,
617
+ "loss": 1.5781,
618
+ "step": 87
619
+ },
620
+ {
621
+ "epoch": 0.82,
622
+ "grad_norm": 0.5326025485992432,
623
+ "learning_rate": 0.0002,
624
+ "loss": 1.6479,
625
+ "step": 88
626
+ },
627
+ {
628
+ "epoch": 0.83,
629
+ "grad_norm": 0.3922731578350067,
630
+ "learning_rate": 0.0002,
631
+ "loss": 1.6432,
632
+ "step": 89
633
+ },
634
+ {
635
+ "epoch": 0.84,
636
+ "grad_norm": 1.0725717544555664,
637
+ "learning_rate": 0.0002,
638
+ "loss": 1.6326,
639
+ "step": 90
640
+ },
641
+ {
642
+ "epoch": 0.85,
643
+ "grad_norm": 0.849716305732727,
644
+ "learning_rate": 0.0002,
645
+ "loss": 1.5013,
646
+ "step": 91
647
+ },
648
+ {
649
+ "epoch": 0.86,
650
+ "grad_norm": 0.3658522963523865,
651
+ "learning_rate": 0.0002,
652
+ "loss": 1.5405,
653
+ "step": 92
654
+ },
655
+ {
656
+ "epoch": 0.87,
657
+ "grad_norm": 0.7757679224014282,
658
+ "learning_rate": 0.0002,
659
+ "loss": 1.5823,
660
+ "step": 93
661
+ },
662
+ {
663
+ "epoch": 0.88,
664
+ "grad_norm": 0.5468668341636658,
665
+ "learning_rate": 0.0002,
666
+ "loss": 1.5345,
667
+ "step": 94
668
+ },
669
+ {
670
+ "epoch": 0.89,
671
+ "grad_norm": 0.28030768036842346,
672
+ "learning_rate": 0.0002,
673
+ "loss": 1.4525,
674
+ "step": 95
675
+ },
676
+ {
677
+ "epoch": 0.9,
678
+ "grad_norm": 0.636431097984314,
679
+ "learning_rate": 0.0002,
680
+ "loss": 1.5195,
681
+ "step": 96
682
+ },
683
+ {
684
+ "epoch": 0.91,
685
+ "grad_norm": 0.5017719268798828,
686
+ "learning_rate": 0.0002,
687
+ "loss": 1.4132,
688
+ "step": 97
689
+ },
690
+ {
691
+ "epoch": 0.92,
692
+ "grad_norm": 0.443892240524292,
693
+ "learning_rate": 0.0002,
694
+ "loss": 1.506,
695
+ "step": 98
696
+ },
697
+ {
698
+ "epoch": 0.93,
699
+ "grad_norm": 0.575356125831604,
700
+ "learning_rate": 0.0002,
701
+ "loss": 1.5295,
702
+ "step": 99
703
+ },
704
+ {
705
+ "epoch": 0.94,
706
+ "grad_norm": 0.4003719687461853,
707
+ "learning_rate": 0.0002,
708
+ "loss": 1.491,
709
+ "step": 100
710
+ }
711
+ ],
712
+ "logging_steps": 1,
713
+ "max_steps": 106,
714
+ "num_input_tokens_seen": 0,
715
+ "num_train_epochs": 1,
716
+ "save_steps": 50,
717
+ "total_flos": 1.563282263506944e+17,
718
+ "train_batch_size": 1,
719
+ "trial_name": null,
720
+ "trial_params": null
721
+ }