gguichard commited on
Commit
9ab4bc8
·
verified ·
1 Parent(s): 2a1cf6e

Training in progress, epoch 13, checkpoint

Browse files
checkpoint-3427125/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: FacebookAI/roberta-large
3
+ library_name: peft
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
+
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
+ ### Framework versions
201
+
202
+ - PEFT 0.9.0
checkpoint-3427125/adapter_config.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "FacebookAI/roberta-large",
5
+ "bias": "all",
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": 16,
13
+ "lora_dropout": 0.1,
14
+ "megatron_config": null,
15
+ "megatron_core": "megatron.core",
16
+ "modules_to_save": [
17
+ "classifier.bias",
18
+ "classifier.weight"
19
+ ],
20
+ "peft_type": "LORA",
21
+ "r": 64,
22
+ "rank_pattern": {},
23
+ "revision": null,
24
+ "target_modules": [
25
+ "key",
26
+ "dense",
27
+ "query",
28
+ "value"
29
+ ],
30
+ "task_type": "TOKEN_CLS",
31
+ "use_dora": false,
32
+ "use_rslora": false
33
+ }
checkpoint-3427125/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:09549e222278466e7d69cb1674383db09b6b980f7398c0eb2ca5fc56015ac01f
3
+ size 116274968
checkpoint-3427125/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-3427125/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fdf76225dac9e22fe90b41dc25c6c73e494725cdfb335099cb333650575a5409
3
+ size 232807995
checkpoint-3427125/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e8724348bc00223597262b22ecc436beb9a60929e0d54c618a6f7beb07f95ca0
3
+ size 14244
checkpoint-3427125/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cbfbb0eb6bf95566f07aebeace5359217511ad7dd96b6571f087c2bfb4709d37
3
+ size 1064
checkpoint-3427125/special_tokens_map.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": "<s>",
3
+ "cls_token": "<s>",
4
+ "eos_token": "</s>",
5
+ "mask_token": {
6
+ "content": "<mask>",
7
+ "lstrip": true,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false
11
+ },
12
+ "pad_token": "<pad>",
13
+ "sep_token": "</s>",
14
+ "unk_token": "<unk>"
15
+ }
checkpoint-3427125/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-3427125/tokenizer_config.json ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": true,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": "<s>",
6
+ "lstrip": false,
7
+ "normalized": true,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "1": {
13
+ "content": "<pad>",
14
+ "lstrip": false,
15
+ "normalized": true,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "2": {
21
+ "content": "</s>",
22
+ "lstrip": false,
23
+ "normalized": true,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "3": {
29
+ "content": "<unk>",
30
+ "lstrip": false,
31
+ "normalized": true,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "50264": {
37
+ "content": "<mask>",
38
+ "lstrip": true,
39
+ "normalized": false,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ }
44
+ },
45
+ "bos_token": "<s>",
46
+ "clean_up_tokenization_spaces": true,
47
+ "cls_token": "<s>",
48
+ "eos_token": "</s>",
49
+ "errors": "replace",
50
+ "mask_token": "<mask>",
51
+ "model_max_length": 512,
52
+ "pad_token": "<pad>",
53
+ "sep_token": "</s>",
54
+ "tokenizer_class": "RobertaTokenizer",
55
+ "trim_offsets": true,
56
+ "unk_token": "<unk>"
57
+ }
checkpoint-3427125/trainer_state.json ADDED
@@ -0,0 +1,237 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.01072214636951685,
3
+ "best_model_checkpoint": "verbnet_train_derived/checkpoint-3163500",
4
+ "epoch": 13.0,
5
+ "eval_steps": 500,
6
+ "global_step": 3427125,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 1.0,
13
+ "grad_norm": 0.0011935352813452482,
14
+ "learning_rate": 1.9600150213371268e-05,
15
+ "loss": 0.237,
16
+ "step": 263625
17
+ },
18
+ {
19
+ "epoch": 1.0,
20
+ "eval_loss": 0.0812821313738823,
21
+ "eval_runtime": 657.1184,
22
+ "eval_samples_per_second": 168.919,
23
+ "eval_steps_per_second": 21.115,
24
+ "step": 263625
25
+ },
26
+ {
27
+ "epoch": 2.0,
28
+ "grad_norm": 0.0008472450426779687,
29
+ "learning_rate": 1.9200294357515412e-05,
30
+ "loss": 0.0675,
31
+ "step": 527250
32
+ },
33
+ {
34
+ "epoch": 2.0,
35
+ "eval_loss": 0.04395299404859543,
36
+ "eval_runtime": 635.1223,
37
+ "eval_samples_per_second": 174.769,
38
+ "eval_steps_per_second": 21.846,
39
+ "step": 527250
40
+ },
41
+ {
42
+ "epoch": 3.0,
43
+ "grad_norm": 0.0005161144654266536,
44
+ "learning_rate": 1.8800440018966338e-05,
45
+ "loss": 0.0402,
46
+ "step": 790875
47
+ },
48
+ {
49
+ "epoch": 3.0,
50
+ "eval_loss": 0.03021380864083767,
51
+ "eval_runtime": 631.9338,
52
+ "eval_samples_per_second": 175.651,
53
+ "eval_steps_per_second": 21.956,
54
+ "step": 790875
55
+ },
56
+ {
57
+ "epoch": 4.0,
58
+ "grad_norm": 1.3789523109153379e-05,
59
+ "learning_rate": 1.8400591749644382e-05,
60
+ "loss": 0.0269,
61
+ "step": 1054500
62
+ },
63
+ {
64
+ "epoch": 4.0,
65
+ "eval_loss": 0.02329804003238678,
66
+ "eval_runtime": 635.8959,
67
+ "eval_samples_per_second": 174.557,
68
+ "eval_steps_per_second": 21.82,
69
+ "step": 1054500
70
+ },
71
+ {
72
+ "epoch": 5.0,
73
+ "grad_norm": 1.8203951185569167e-05,
74
+ "learning_rate": 1.8000737411095308e-05,
75
+ "loss": 0.019,
76
+ "step": 1318125
77
+ },
78
+ {
79
+ "epoch": 5.0,
80
+ "eval_loss": 0.01786634884774685,
81
+ "eval_runtime": 635.4082,
82
+ "eval_samples_per_second": 174.691,
83
+ "eval_steps_per_second": 21.836,
84
+ "step": 1318125
85
+ },
86
+ {
87
+ "epoch": 6.0,
88
+ "grad_norm": 0.00018590281251817942,
89
+ "learning_rate": 1.7600884589853015e-05,
90
+ "loss": 0.0144,
91
+ "step": 1581750
92
+ },
93
+ {
94
+ "epoch": 6.0,
95
+ "eval_loss": 0.016473863273859024,
96
+ "eval_runtime": 633.0357,
97
+ "eval_samples_per_second": 175.346,
98
+ "eval_steps_per_second": 21.918,
99
+ "step": 1581750
100
+ },
101
+ {
102
+ "epoch": 7.0,
103
+ "grad_norm": 4.66911842522677e-06,
104
+ "learning_rate": 1.7201034803224278e-05,
105
+ "loss": 0.0115,
106
+ "step": 1845375
107
+ },
108
+ {
109
+ "epoch": 7.0,
110
+ "eval_loss": 0.015895597636699677,
111
+ "eval_runtime": 641.0505,
112
+ "eval_samples_per_second": 173.153,
113
+ "eval_steps_per_second": 21.644,
114
+ "step": 1845375
115
+ },
116
+ {
117
+ "epoch": 8.0,
118
+ "grad_norm": 0.0007661374402232468,
119
+ "learning_rate": 1.6801183499288766e-05,
120
+ "loss": 0.0093,
121
+ "step": 2109000
122
+ },
123
+ {
124
+ "epoch": 8.0,
125
+ "eval_loss": 0.014273108914494514,
126
+ "eval_runtime": 643.6593,
127
+ "eval_samples_per_second": 172.451,
128
+ "eval_steps_per_second": 21.556,
129
+ "step": 2109000
130
+ },
131
+ {
132
+ "epoch": 9.0,
133
+ "grad_norm": 8.322523353854194e-05,
134
+ "learning_rate": 1.640133219535325e-05,
135
+ "loss": 0.0078,
136
+ "step": 2372625
137
+ },
138
+ {
139
+ "epoch": 9.0,
140
+ "eval_loss": 0.014644059352576733,
141
+ "eval_runtime": 650.6057,
142
+ "eval_samples_per_second": 170.61,
143
+ "eval_steps_per_second": 21.326,
144
+ "step": 2372625
145
+ },
146
+ {
147
+ "epoch": 10.0,
148
+ "grad_norm": 5.2284158300608397e-05,
149
+ "learning_rate": 1.6001473304883833e-05,
150
+ "loss": 0.0067,
151
+ "step": 2636250
152
+ },
153
+ {
154
+ "epoch": 10.0,
155
+ "eval_loss": 0.012359824031591415,
156
+ "eval_runtime": 641.3289,
157
+ "eval_samples_per_second": 173.078,
158
+ "eval_steps_per_second": 21.635,
159
+ "step": 2636250
160
+ },
161
+ {
162
+ "epoch": 11.0,
163
+ "grad_norm": 3.8969083107076585e-06,
164
+ "learning_rate": 1.5601615931721196e-05,
165
+ "loss": 0.0058,
166
+ "step": 2899875
167
+ },
168
+ {
169
+ "epoch": 11.0,
170
+ "eval_loss": 0.01156603079289198,
171
+ "eval_runtime": 652.3223,
172
+ "eval_samples_per_second": 170.161,
173
+ "eval_steps_per_second": 21.27,
174
+ "step": 2899875
175
+ },
176
+ {
177
+ "epoch": 12.0,
178
+ "grad_norm": 0.0002835058548953384,
179
+ "learning_rate": 1.5201769179706023e-05,
180
+ "loss": 0.005,
181
+ "step": 3163500
182
+ },
183
+ {
184
+ "epoch": 12.0,
185
+ "eval_loss": 0.01072214636951685,
186
+ "eval_runtime": 641.4082,
187
+ "eval_samples_per_second": 173.057,
188
+ "eval_steps_per_second": 21.632,
189
+ "step": 3163500
190
+ },
191
+ {
192
+ "epoch": 13.0,
193
+ "grad_norm": 0.00011918282689293846,
194
+ "learning_rate": 1.4801914841156947e-05,
195
+ "loss": 0.0044,
196
+ "step": 3427125
197
+ },
198
+ {
199
+ "epoch": 13.0,
200
+ "eval_loss": 0.010954467579722404,
201
+ "eval_runtime": 629.2662,
202
+ "eval_samples_per_second": 176.396,
203
+ "eval_steps_per_second": 22.049,
204
+ "step": 3427125
205
+ }
206
+ ],
207
+ "logging_steps": 500,
208
+ "max_steps": 13181250,
209
+ "num_input_tokens_seen": 0,
210
+ "num_train_epochs": 50,
211
+ "save_steps": 500,
212
+ "stateful_callbacks": {
213
+ "EarlyStoppingCallback": {
214
+ "args": {
215
+ "early_stopping_patience": 5,
216
+ "early_stopping_threshold": 0.0
217
+ },
218
+ "attributes": {
219
+ "early_stopping_patience_counter": 0
220
+ }
221
+ },
222
+ "TrainerControl": {
223
+ "args": {
224
+ "should_epoch_stop": false,
225
+ "should_evaluate": false,
226
+ "should_log": false,
227
+ "should_save": true,
228
+ "should_training_stop": false
229
+ },
230
+ "attributes": {}
231
+ }
232
+ },
233
+ "total_flos": 3.0739383732773335e+18,
234
+ "train_batch_size": 8,
235
+ "trial_name": null,
236
+ "trial_params": null
237
+ }
checkpoint-3427125/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cf519754a52ee343dab0c86f1732b8162d37fc031b2021725ffdf218b2fd9454
3
+ size 5240
checkpoint-3427125/vocab.json ADDED
The diff for this file is too large to render. See raw diff