geshijoker
commited on
End of training
Browse files- README.md +3 -2
- all_results.json +12 -0
- eval_results.json +7 -0
- runs/Dec29_00-33-03_64-181-222-101/events.out.tfevents.1735437830.64-181-222-101.10253.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +785 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
CHANGED
@@ -4,6 +4,7 @@ license: llama3
|
|
4 |
base_model: meta-llama/Meta-Llama-3-8B-Instruct
|
5 |
tags:
|
6 |
- llama-factory
|
|
|
7 |
- generated_from_trainer
|
8 |
model-index:
|
9 |
- name: lora_all
|
@@ -15,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
# lora_all
|
17 |
|
18 |
-
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on
|
19 |
It achieves the following results on the evaluation set:
|
20 |
-
- Loss: 1.
|
21 |
|
22 |
## Model description
|
23 |
|
|
|
4 |
base_model: meta-llama/Meta-Llama-3-8B-Instruct
|
5 |
tags:
|
6 |
- llama-factory
|
7 |
+
- lora
|
8 |
- generated_from_trainer
|
9 |
model-index:
|
10 |
- name: lora_all
|
|
|
16 |
|
17 |
# lora_all
|
18 |
|
19 |
+
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the healthcaremagic dataset.
|
20 |
It achieves the following results on the evaluation set:
|
21 |
+
- Loss: 1.7827
|
22 |
|
23 |
## Model description
|
24 |
|
all_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.994667614646285,
|
3 |
+
"eval_loss": 1.782659888267517,
|
4 |
+
"eval_runtime": 74.5046,
|
5 |
+
"eval_samples_per_second": 134.22,
|
6 |
+
"eval_steps_per_second": 4.201,
|
7 |
+
"total_flos": 4.229776342129836e+18,
|
8 |
+
"train_loss": 1.8626822329427895,
|
9 |
+
"train_runtime": 5321.5336,
|
10 |
+
"train_samples_per_second": 50.737,
|
11 |
+
"train_steps_per_second": 0.198
|
12 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.994667614646285,
|
3 |
+
"eval_loss": 1.782659888267517,
|
4 |
+
"eval_runtime": 74.5046,
|
5 |
+
"eval_samples_per_second": 134.22,
|
6 |
+
"eval_steps_per_second": 4.201
|
7 |
+
}
|
runs/Dec29_00-33-03_64-181-222-101/events.out.tfevents.1735437830.64-181-222-101.10253.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f654033f3e0ec274d7e9786a21b66774f1c7da61cacb5c975fa6ebcff7a44b39
|
3 |
+
size 359
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 2.994667614646285,
|
3 |
+
"total_flos": 4.229776342129836e+18,
|
4 |
+
"train_loss": 1.8626822329427895,
|
5 |
+
"train_runtime": 5321.5336,
|
6 |
+
"train_samples_per_second": 50.737,
|
7 |
+
"train_steps_per_second": 0.198
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,785 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.994667614646285,
|
5 |
+
"eval_steps": 1000,
|
6 |
+
"global_step": 1053,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.028439388553146108,
|
13 |
+
"grad_norm": 2.7864015102386475,
|
14 |
+
"learning_rate": 9.433962264150944e-06,
|
15 |
+
"loss": 3.2455,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.056878777106292217,
|
20 |
+
"grad_norm": 0.8451234698295593,
|
21 |
+
"learning_rate": 1.8867924528301888e-05,
|
22 |
+
"loss": 2.8076,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.08531816565943832,
|
27 |
+
"grad_norm": 0.4598900079727173,
|
28 |
+
"learning_rate": 2.830188679245283e-05,
|
29 |
+
"loss": 2.5631,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.11375755421258443,
|
34 |
+
"grad_norm": 0.3573364317417145,
|
35 |
+
"learning_rate": 3.7735849056603776e-05,
|
36 |
+
"loss": 2.4723,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.14219694276573053,
|
41 |
+
"grad_norm": 0.3167368173599243,
|
42 |
+
"learning_rate": 4.716981132075472e-05,
|
43 |
+
"loss": 2.3806,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.17063633131887665,
|
48 |
+
"grad_norm": 0.3523406982421875,
|
49 |
+
"learning_rate": 4.999395511092461e-05,
|
50 |
+
"loss": 2.3182,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.19907571987202274,
|
55 |
+
"grad_norm": 0.3779957592487335,
|
56 |
+
"learning_rate": 4.996435452798774e-05,
|
57 |
+
"loss": 2.2473,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.22751510842516887,
|
62 |
+
"grad_norm": 0.4943179786205292,
|
63 |
+
"learning_rate": 4.991011714111481e-05,
|
64 |
+
"loss": 2.199,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.25595449697831496,
|
69 |
+
"grad_norm": 0.42343392968177795,
|
70 |
+
"learning_rate": 4.9831296476058484e-05,
|
71 |
+
"loss": 2.187,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.28439388553146105,
|
76 |
+
"grad_norm": 0.4268713593482971,
|
77 |
+
"learning_rate": 4.9727970319299044e-05,
|
78 |
+
"loss": 2.1194,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.3128332740846072,
|
83 |
+
"grad_norm": 0.48644664883613586,
|
84 |
+
"learning_rate": 4.9600240641278496e-05,
|
85 |
+
"loss": 2.1086,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.3412726626377533,
|
90 |
+
"grad_norm": 0.48994767665863037,
|
91 |
+
"learning_rate": 4.944823349576805e-05,
|
92 |
+
"loss": 2.0861,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.3697120511908994,
|
97 |
+
"grad_norm": 0.5868293642997742,
|
98 |
+
"learning_rate": 4.9272098895468277e-05,
|
99 |
+
"loss": 2.0809,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.3981514397440455,
|
104 |
+
"grad_norm": 0.5047050714492798,
|
105 |
+
"learning_rate": 4.907201066396469e-05,
|
106 |
+
"loss": 2.0588,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.42659082829719164,
|
111 |
+
"grad_norm": 0.4889000654220581,
|
112 |
+
"learning_rate": 4.8848166264184844e-05,
|
113 |
+
"loss": 2.019,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.45503021685033773,
|
118 |
+
"grad_norm": 0.5262014269828796,
|
119 |
+
"learning_rate": 4.860078660352625e-05,
|
120 |
+
"loss": 2.0294,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.4834696054034838,
|
125 |
+
"grad_norm": 0.4898081123828888,
|
126 |
+
"learning_rate": 4.8330115815847465e-05,
|
127 |
+
"loss": 1.9942,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.5119089939566299,
|
132 |
+
"grad_norm": 0.5089215040206909,
|
133 |
+
"learning_rate": 4.803642102053746e-05,
|
134 |
+
"loss": 1.9974,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.540348382509776,
|
139 |
+
"grad_norm": 0.5131760239601135,
|
140 |
+
"learning_rate": 4.7719992058901006e-05,
|
141 |
+
"loss": 1.9876,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.5687877710629221,
|
146 |
+
"grad_norm": 0.4940701723098755,
|
147 |
+
"learning_rate": 4.7381141208120296e-05,
|
148 |
+
"loss": 1.9438,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.5972271596160682,
|
153 |
+
"grad_norm": 0.5069682002067566,
|
154 |
+
"learning_rate": 4.702020287307509e-05,
|
155 |
+
"loss": 1.9668,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.6256665481692144,
|
160 |
+
"grad_norm": 0.5188295245170593,
|
161 |
+
"learning_rate": 4.663753325632548e-05,
|
162 |
+
"loss": 1.961,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.6541059367223605,
|
167 |
+
"grad_norm": 0.5184710025787354,
|
168 |
+
"learning_rate": 4.6233510006582914e-05,
|
169 |
+
"loss": 1.9327,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.6825453252755066,
|
174 |
+
"grad_norm": 0.5142987370491028,
|
175 |
+
"learning_rate": 4.580853184601659e-05,
|
176 |
+
"loss": 1.9415,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.7109847138286527,
|
181 |
+
"grad_norm": 0.5494813919067383,
|
182 |
+
"learning_rate": 4.536301817676274e-05,
|
183 |
+
"loss": 1.918,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.7394241023817988,
|
188 |
+
"grad_norm": 0.49111875891685486,
|
189 |
+
"learning_rate": 4.48974086670254e-05,
|
190 |
+
"loss": 1.9406,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.7678634909349449,
|
195 |
+
"grad_norm": 0.513344407081604,
|
196 |
+
"learning_rate": 4.4412162817176965e-05,
|
197 |
+
"loss": 1.9019,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.796302879488091,
|
202 |
+
"grad_norm": 0.5305178761482239,
|
203 |
+
"learning_rate": 4.39077595062868e-05,
|
204 |
+
"loss": 1.8887,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.8247422680412371,
|
209 |
+
"grad_norm": 0.5225845575332642,
|
210 |
+
"learning_rate": 4.33846965195254e-05,
|
211 |
+
"loss": 1.8942,
|
212 |
+
"step": 290
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.8531816565943833,
|
216 |
+
"grad_norm": 0.5039849281311035,
|
217 |
+
"learning_rate": 4.2843490056910534e-05,
|
218 |
+
"loss": 1.8961,
|
219 |
+
"step": 300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.8816210451475294,
|
223 |
+
"grad_norm": 0.5015091896057129,
|
224 |
+
"learning_rate": 4.228467422388016e-05,
|
225 |
+
"loss": 1.9114,
|
226 |
+
"step": 310
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.9100604337006755,
|
230 |
+
"grad_norm": 0.4691685140132904,
|
231 |
+
"learning_rate": 4.1708800504194827e-05,
|
232 |
+
"loss": 1.9162,
|
233 |
+
"step": 320
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.9384998222538216,
|
237 |
+
"grad_norm": 0.48344337940216064,
|
238 |
+
"learning_rate": 4.1116437215689784e-05,
|
239 |
+
"loss": 1.8799,
|
240 |
+
"step": 330
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.9669392108069677,
|
244 |
+
"grad_norm": 0.5020110011100769,
|
245 |
+
"learning_rate": 4.0508168949413906e-05,
|
246 |
+
"loss": 1.8565,
|
247 |
+
"step": 340
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.9953785993601137,
|
251 |
+
"grad_norm": 0.514559268951416,
|
252 |
+
"learning_rate": 3.988459599270888e-05,
|
253 |
+
"loss": 1.9027,
|
254 |
+
"step": 350
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 1.0238179879132598,
|
258 |
+
"grad_norm": 0.5024710893630981,
|
259 |
+
"learning_rate": 3.9246333736798095e-05,
|
260 |
+
"loss": 1.9138,
|
261 |
+
"step": 360
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 1.052257376466406,
|
265 |
+
"grad_norm": 0.515842854976654,
|
266 |
+
"learning_rate": 3.859401206946982e-05,
|
267 |
+
"loss": 1.813,
|
268 |
+
"step": 370
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 1.080696765019552,
|
272 |
+
"grad_norm": 0.5406286716461182,
|
273 |
+
"learning_rate": 3.792827475345393e-05,
|
274 |
+
"loss": 1.8395,
|
275 |
+
"step": 380
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 1.1091361535726982,
|
279 |
+
"grad_norm": 0.5171347260475159,
|
280 |
+
"learning_rate": 3.724977879110591e-05,
|
281 |
+
"loss": 1.8314,
|
282 |
+
"step": 390
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 1.1375755421258442,
|
286 |
+
"grad_norm": 0.5132310390472412,
|
287 |
+
"learning_rate": 3.6559193776024794e-05,
|
288 |
+
"loss": 1.8241,
|
289 |
+
"step": 400
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 1.1660149306789904,
|
293 |
+
"grad_norm": 0.5178537368774414,
|
294 |
+
"learning_rate": 3.585720123224512e-05,
|
295 |
+
"loss": 1.8178,
|
296 |
+
"step": 410
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 1.1944543192321366,
|
300 |
+
"grad_norm": 0.5596044063568115,
|
301 |
+
"learning_rate": 3.5144493941655e-05,
|
302 |
+
"loss": 1.8174,
|
303 |
+
"step": 420
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 1.2228937077852826,
|
307 |
+
"grad_norm": 0.5178967714309692,
|
308 |
+
"learning_rate": 3.442177526030407e-05,
|
309 |
+
"loss": 1.7867,
|
310 |
+
"step": 430
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 1.2513330963384286,
|
314 |
+
"grad_norm": 0.5135601758956909,
|
315 |
+
"learning_rate": 3.3689758424275926e-05,
|
316 |
+
"loss": 1.791,
|
317 |
+
"step": 440
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 1.2797724848915748,
|
321 |
+
"grad_norm": 0.5257358551025391,
|
322 |
+
"learning_rate": 3.294916584581027e-05,
|
323 |
+
"loss": 1.8153,
|
324 |
+
"step": 450
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 1.308211873444721,
|
328 |
+
"grad_norm": 0.5272982716560364,
|
329 |
+
"learning_rate": 3.220072840036923e-05,
|
330 |
+
"loss": 1.7952,
|
331 |
+
"step": 460
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 1.336651261997867,
|
335 |
+
"grad_norm": 0.5305171012878418,
|
336 |
+
"learning_rate": 3.14451847053515e-05,
|
337 |
+
"loss": 1.7962,
|
338 |
+
"step": 470
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 1.3650906505510132,
|
342 |
+
"grad_norm": 0.5360648036003113,
|
343 |
+
"learning_rate": 3.068328039116616e-05,
|
344 |
+
"loss": 1.8002,
|
345 |
+
"step": 480
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 1.3935300391041592,
|
349 |
+
"grad_norm": 0.5958048105239868,
|
350 |
+
"learning_rate": 2.99157673653855e-05,
|
351 |
+
"loss": 1.8017,
|
352 |
+
"step": 490
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 1.4219694276573054,
|
356 |
+
"grad_norm": 0.5489828586578369,
|
357 |
+
"learning_rate": 2.9143403070702997e-05,
|
358 |
+
"loss": 1.7931,
|
359 |
+
"step": 500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 1.4504088162104516,
|
363 |
+
"grad_norm": 0.5472132563591003,
|
364 |
+
"learning_rate": 2.8366949737428817e-05,
|
365 |
+
"loss": 1.8051,
|
366 |
+
"step": 510
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 1.4788482047635976,
|
370 |
+
"grad_norm": 0.5372362732887268,
|
371 |
+
"learning_rate": 2.7587173631260566e-05,
|
372 |
+
"loss": 1.7962,
|
373 |
+
"step": 520
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 1.5072875933167436,
|
377 |
+
"grad_norm": 0.5616655349731445,
|
378 |
+
"learning_rate": 2.6804844297071526e-05,
|
379 |
+
"loss": 1.7763,
|
380 |
+
"step": 530
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 1.5357269818698898,
|
384 |
+
"grad_norm": 0.5398069620132446,
|
385 |
+
"learning_rate": 2.6020733799462754e-05,
|
386 |
+
"loss": 1.7808,
|
387 |
+
"step": 540
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 1.564166370423036,
|
391 |
+
"grad_norm": 0.5471286773681641,
|
392 |
+
"learning_rate": 2.5235615960828605e-05,
|
393 |
+
"loss": 1.7836,
|
394 |
+
"step": 550
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 1.5926057589761822,
|
398 |
+
"grad_norm": 0.5741537809371948,
|
399 |
+
"learning_rate": 2.4450265597687376e-05,
|
400 |
+
"loss": 1.8075,
|
401 |
+
"step": 560
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 1.6210451475293282,
|
405 |
+
"grad_norm": 0.5587407946586609,
|
406 |
+
"learning_rate": 2.3665457756030988e-05,
|
407 |
+
"loss": 1.7669,
|
408 |
+
"step": 570
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 1.6494845360824741,
|
412 |
+
"grad_norm": 0.5349502563476562,
|
413 |
+
"learning_rate": 2.2881966946448167e-05,
|
414 |
+
"loss": 1.7712,
|
415 |
+
"step": 580
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 1.6779239246356203,
|
419 |
+
"grad_norm": 0.5548702478408813,
|
420 |
+
"learning_rate": 2.2100566379775967e-05,
|
421 |
+
"loss": 1.7669,
|
422 |
+
"step": 590
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 1.7063633131887666,
|
426 |
+
"grad_norm": 0.5402134656906128,
|
427 |
+
"learning_rate": 2.1322027204034066e-05,
|
428 |
+
"loss": 1.7754,
|
429 |
+
"step": 600
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 1.7348027017419125,
|
433 |
+
"grad_norm": 0.5542489290237427,
|
434 |
+
"learning_rate": 2.0547117743394744e-05,
|
435 |
+
"loss": 1.7959,
|
436 |
+
"step": 610
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 1.7632420902950585,
|
440 |
+
"grad_norm": 0.6034718751907349,
|
441 |
+
"learning_rate": 1.9776602739939714e-05,
|
442 |
+
"loss": 1.7631,
|
443 |
+
"step": 620
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 1.7916814788482047,
|
447 |
+
"grad_norm": 0.5417160987854004,
|
448 |
+
"learning_rate": 1.9011242598951962e-05,
|
449 |
+
"loss": 1.7681,
|
450 |
+
"step": 630
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 1.820120867401351,
|
454 |
+
"grad_norm": 0.5751153826713562,
|
455 |
+
"learning_rate": 1.8251792638487596e-05,
|
456 |
+
"loss": 1.7717,
|
457 |
+
"step": 640
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 1.8485602559544971,
|
461 |
+
"grad_norm": 0.517077624797821,
|
462 |
+
"learning_rate": 1.7499002343968098e-05,
|
463 |
+
"loss": 1.7571,
|
464 |
+
"step": 650
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 1.8769996445076431,
|
468 |
+
"grad_norm": 0.5594078302383423,
|
469 |
+
"learning_rate": 1.675361462852868e-05,
|
470 |
+
"loss": 1.7528,
|
471 |
+
"step": 660
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 1.905439033060789,
|
475 |
+
"grad_norm": 0.5302609801292419,
|
476 |
+
"learning_rate": 1.6016365099852735e-05,
|
477 |
+
"loss": 1.7454,
|
478 |
+
"step": 670
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 1.9338784216139353,
|
482 |
+
"grad_norm": 0.5613446235656738,
|
483 |
+
"learning_rate": 1.528798133421585e-05,
|
484 |
+
"loss": 1.7555,
|
485 |
+
"step": 680
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 1.9623178101670815,
|
489 |
+
"grad_norm": 0.5346989631652832,
|
490 |
+
"learning_rate": 1.4569182158455875e-05,
|
491 |
+
"loss": 1.7334,
|
492 |
+
"step": 690
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 1.9907571987202275,
|
496 |
+
"grad_norm": 0.5548744201660156,
|
497 |
+
"learning_rate": 1.3860676940577594e-05,
|
498 |
+
"loss": 1.7764,
|
499 |
+
"step": 700
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 2.0191965872733735,
|
503 |
+
"grad_norm": 0.6024349331855774,
|
504 |
+
"learning_rate": 1.3163164889692197e-05,
|
505 |
+
"loss": 1.7899,
|
506 |
+
"step": 710
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 2.0476359758265197,
|
510 |
+
"grad_norm": 0.583003044128418,
|
511 |
+
"learning_rate": 1.2477334365982248e-05,
|
512 |
+
"loss": 1.7026,
|
513 |
+
"step": 720
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 2.076075364379666,
|
517 |
+
"grad_norm": 0.572210967540741,
|
518 |
+
"learning_rate": 1.1803862201373342e-05,
|
519 |
+
"loss": 1.6817,
|
520 |
+
"step": 730
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 2.104514752932812,
|
524 |
+
"grad_norm": 0.567309558391571,
|
525 |
+
"learning_rate": 1.1143413031582645e-05,
|
526 |
+
"loss": 1.702,
|
527 |
+
"step": 740
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 2.132954141485958,
|
531 |
+
"grad_norm": 0.5702211856842041,
|
532 |
+
"learning_rate": 1.0496638640203774e-05,
|
533 |
+
"loss": 1.7001,
|
534 |
+
"step": 750
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 2.161393530039104,
|
538 |
+
"grad_norm": 0.598107635974884,
|
539 |
+
"learning_rate": 9.864177315474968e-06,
|
540 |
+
"loss": 1.6904,
|
541 |
+
"step": 760
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 2.1898329185922503,
|
545 |
+
"grad_norm": 0.5752361416816711,
|
546 |
+
"learning_rate": 9.246653220365778e-06,
|
547 |
+
"loss": 1.7187,
|
548 |
+
"step": 770
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 2.2182723071453965,
|
552 |
+
"grad_norm": 0.5880258679389954,
|
553 |
+
"learning_rate": 8.644675776603476e-06,
|
554 |
+
"loss": 1.6973,
|
555 |
+
"step": 780
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 2.2467116956985427,
|
559 |
+
"grad_norm": 0.5714329481124878,
|
560 |
+
"learning_rate": 8.058839063247447e-06,
|
561 |
+
"loss": 1.706,
|
562 |
+
"step": 790
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 2.2751510842516884,
|
566 |
+
"grad_norm": 0.6069587469100952,
|
567 |
+
"learning_rate": 7.489721230404842e-06,
|
568 |
+
"loss": 1.7323,
|
569 |
+
"step": 800
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 2.3035904728048346,
|
573 |
+
"grad_norm": 0.5789757966995239,
|
574 |
+
"learning_rate": 6.937883928666255e-06,
|
575 |
+
"loss": 1.7076,
|
576 |
+
"step": 810
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 2.332029861357981,
|
580 |
+
"grad_norm": 0.6063619256019592,
|
581 |
+
"learning_rate": 6.403871754824373e-06,
|
582 |
+
"loss": 1.6819,
|
583 |
+
"step": 820
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 2.360469249911127,
|
587 |
+
"grad_norm": 0.5955121517181396,
|
588 |
+
"learning_rate": 5.8882117144227115e-06,
|
589 |
+
"loss": 1.6991,
|
590 |
+
"step": 830
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 2.3889086384642733,
|
594 |
+
"grad_norm": 0.5998035073280334,
|
595 |
+
"learning_rate": 5.391412701664744e-06,
|
596 |
+
"loss": 1.6747,
|
597 |
+
"step": 840
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 2.417348027017419,
|
601 |
+
"grad_norm": 0.6063375473022461,
|
602 |
+
"learning_rate": 4.91396499719681e-06,
|
603 |
+
"loss": 1.7041,
|
604 |
+
"step": 850
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 2.4457874155705652,
|
608 |
+
"grad_norm": 0.6151806712150574,
|
609 |
+
"learning_rate": 4.456339784260247e-06,
|
610 |
+
"loss": 1.6868,
|
611 |
+
"step": 860
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 2.4742268041237114,
|
615 |
+
"grad_norm": 0.5840434432029724,
|
616 |
+
"learning_rate": 4.018988683690461e-06,
|
617 |
+
"loss": 1.6757,
|
618 |
+
"step": 870
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 2.502666192676857,
|
622 |
+
"grad_norm": 0.5928480625152588,
|
623 |
+
"learning_rate": 3.6023433082216755e-06,
|
624 |
+
"loss": 1.702,
|
625 |
+
"step": 880
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 2.5311055812300034,
|
629 |
+
"grad_norm": 0.5977081656455994,
|
630 |
+
"learning_rate": 3.2068148365372806e-06,
|
631 |
+
"loss": 1.7001,
|
632 |
+
"step": 890
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 2.5595449697831496,
|
636 |
+
"grad_norm": 0.6291081309318542,
|
637 |
+
"learning_rate": 2.832793607486087e-06,
|
638 |
+
"loss": 1.7146,
|
639 |
+
"step": 900
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 2.587984358336296,
|
643 |
+
"grad_norm": 0.6002483367919922,
|
644 |
+
"learning_rate": 2.4806487348650485e-06,
|
645 |
+
"loss": 1.6753,
|
646 |
+
"step": 910
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 2.616423746889442,
|
650 |
+
"grad_norm": 0.5828536748886108,
|
651 |
+
"learning_rate": 2.150727743148473e-06,
|
652 |
+
"loss": 1.6863,
|
653 |
+
"step": 920
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 2.6448631354425878,
|
657 |
+
"grad_norm": 0.6066195964813232,
|
658 |
+
"learning_rate": 1.8433562245233349e-06,
|
659 |
+
"loss": 1.658,
|
660 |
+
"step": 930
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 2.673302523995734,
|
664 |
+
"grad_norm": 0.6164836287498474,
|
665 |
+
"learning_rate": 1.5588375175691117e-06,
|
666 |
+
"loss": 1.6957,
|
667 |
+
"step": 940
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 2.70174191254888,
|
671 |
+
"grad_norm": 0.6047420501708984,
|
672 |
+
"learning_rate": 1.2974524078991995e-06,
|
673 |
+
"loss": 1.677,
|
674 |
+
"step": 950
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 2.7301813011020264,
|
678 |
+
"grad_norm": 0.5752055048942566,
|
679 |
+
"learning_rate": 1.0594588510594445e-06,
|
680 |
+
"loss": 1.6802,
|
681 |
+
"step": 960
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 2.7586206896551726,
|
685 |
+
"grad_norm": 0.5959452986717224,
|
686 |
+
"learning_rate": 8.450917179571305e-07,
|
687 |
+
"loss": 1.6897,
|
688 |
+
"step": 970
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 2.7870600782083184,
|
692 |
+
"grad_norm": 0.5909944176673889,
|
693 |
+
"learning_rate": 6.545625630717783e-07,
|
694 |
+
"loss": 1.6916,
|
695 |
+
"step": 980
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 2.8154994667614646,
|
699 |
+
"grad_norm": 0.601028323173523,
|
700 |
+
"learning_rate": 4.880594156763896e-07,
|
701 |
+
"loss": 1.7078,
|
702 |
+
"step": 990
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 2.8439388553146108,
|
706 |
+
"grad_norm": 0.5776922702789307,
|
707 |
+
"learning_rate": 3.4574659427528133e-07,
|
708 |
+
"loss": 1.6961,
|
709 |
+
"step": 1000
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 2.8439388553146108,
|
713 |
+
"eval_loss": 1.7827636003494263,
|
714 |
+
"eval_runtime": 74.8387,
|
715 |
+
"eval_samples_per_second": 133.621,
|
716 |
+
"eval_steps_per_second": 4.182,
|
717 |
+
"step": 1000
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 2.872378243867757,
|
721 |
+
"grad_norm": 0.6100145578384399,
|
722 |
+
"learning_rate": 2.2776454444153328e-07,
|
723 |
+
"loss": 1.6978,
|
724 |
+
"step": 1010
|
725 |
+
},
|
726 |
+
{
|
727 |
+
"epoch": 2.900817632420903,
|
728 |
+
"grad_norm": 0.6016635894775391,
|
729 |
+
"learning_rate": 1.342297002141918e-07,
|
730 |
+
"loss": 1.6623,
|
731 |
+
"step": 1020
|
732 |
+
},
|
733 |
+
{
|
734 |
+
"epoch": 2.929257020974049,
|
735 |
+
"grad_norm": 0.5942381620407104,
|
736 |
+
"learning_rate": 6.523436919190773e-08,
|
737 |
+
"loss": 1.6999,
|
738 |
+
"step": 1030
|
739 |
+
},
|
740 |
+
{
|
741 |
+
"epoch": 2.957696409527195,
|
742 |
+
"grad_norm": 0.6014872789382935,
|
743 |
+
"learning_rate": 2.0846641436497726e-08,
|
744 |
+
"loss": 1.6816,
|
745 |
+
"step": 1040
|
746 |
+
},
|
747 |
+
{
|
748 |
+
"epoch": 2.9861357980803414,
|
749 |
+
"grad_norm": 0.6061838269233704,
|
750 |
+
"learning_rate": 1.1103222762542941e-09,
|
751 |
+
"loss": 1.7004,
|
752 |
+
"step": 1050
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 2.994667614646285,
|
756 |
+
"step": 1053,
|
757 |
+
"total_flos": 4.229776342129836e+18,
|
758 |
+
"train_loss": 1.8626822329427895,
|
759 |
+
"train_runtime": 5321.5336,
|
760 |
+
"train_samples_per_second": 50.737,
|
761 |
+
"train_steps_per_second": 0.198
|
762 |
+
}
|
763 |
+
],
|
764 |
+
"logging_steps": 10,
|
765 |
+
"max_steps": 1053,
|
766 |
+
"num_input_tokens_seen": 0,
|
767 |
+
"num_train_epochs": 3,
|
768 |
+
"save_steps": 500,
|
769 |
+
"stateful_callbacks": {
|
770 |
+
"TrainerControl": {
|
771 |
+
"args": {
|
772 |
+
"should_epoch_stop": false,
|
773 |
+
"should_evaluate": false,
|
774 |
+
"should_log": false,
|
775 |
+
"should_save": true,
|
776 |
+
"should_training_stop": true
|
777 |
+
},
|
778 |
+
"attributes": {}
|
779 |
+
}
|
780 |
+
},
|
781 |
+
"total_flos": 4.229776342129836e+18,
|
782 |
+
"train_batch_size": 4,
|
783 |
+
"trial_name": null,
|
784 |
+
"trial_params": null
|
785 |
+
}
|
training_eval_loss.png
ADDED
training_loss.png
ADDED