Model save
Browse files- README.md +68 -0
- all_results.json +9 -0
- generation_config.json +7 -0
- train_results.json +9 -0
- trainer_state.json +603 -0
README.md
ADDED
@@ -0,0 +1,68 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: transformers
|
3 |
+
license: gemma
|
4 |
+
base_model: google/gemma-7b
|
5 |
+
tags:
|
6 |
+
- trl
|
7 |
+
- sft
|
8 |
+
- generated_from_trainer
|
9 |
+
datasets:
|
10 |
+
- generator
|
11 |
+
model-index:
|
12 |
+
- name: gemma7b-gpt4o_1k_summarize-fft
|
13 |
+
results: []
|
14 |
+
---
|
15 |
+
|
16 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
17 |
+
should probably proofread and complete it, then remove this comment. -->
|
18 |
+
|
19 |
+
# gemma7b-gpt4o_1k_summarize-fft
|
20 |
+
|
21 |
+
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the generator dataset.
|
22 |
+
It achieves the following results on the evaluation set:
|
23 |
+
- Loss: 6.4970
|
24 |
+
|
25 |
+
## Model description
|
26 |
+
|
27 |
+
More information needed
|
28 |
+
|
29 |
+
## Intended uses & limitations
|
30 |
+
|
31 |
+
More information needed
|
32 |
+
|
33 |
+
## Training and evaluation data
|
34 |
+
|
35 |
+
More information needed
|
36 |
+
|
37 |
+
## Training procedure
|
38 |
+
|
39 |
+
### Training hyperparameters
|
40 |
+
|
41 |
+
The following hyperparameters were used during training:
|
42 |
+
- learning_rate: 0.0003
|
43 |
+
- train_batch_size: 2
|
44 |
+
- eval_batch_size: 2
|
45 |
+
- seed: 42
|
46 |
+
- distributed_type: multi-GPU
|
47 |
+
- num_devices: 8
|
48 |
+
- gradient_accumulation_steps: 2
|
49 |
+
- total_train_batch_size: 32
|
50 |
+
- total_eval_batch_size: 16
|
51 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
52 |
+
- lr_scheduler_type: cosine
|
53 |
+
- lr_scheduler_warmup_ratio: 0.1
|
54 |
+
- num_epochs: 1
|
55 |
+
|
56 |
+
### Training results
|
57 |
+
|
58 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
59 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
60 |
+
| 1.9687 | 1.0 | 392 | 6.4970 |
|
61 |
+
|
62 |
+
|
63 |
+
### Framework versions
|
64 |
+
|
65 |
+
- Transformers 4.45.1
|
66 |
+
- Pytorch 2.4.1+cu121
|
67 |
+
- Datasets 3.0.1
|
68 |
+
- Tokenizers 0.20.0
|
all_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"total_flos": 13478110691328.0,
|
4 |
+
"train_loss": 7.205524507833987,
|
5 |
+
"train_runtime": 9216.1272,
|
6 |
+
"train_samples": 115376,
|
7 |
+
"train_samples_per_second": 1.36,
|
8 |
+
"train_steps_per_second": 0.043
|
9 |
+
}
|
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": "4.45.1"
|
7 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"total_flos": 13478110691328.0,
|
4 |
+
"train_loss": 7.205524507833987,
|
5 |
+
"train_runtime": 9216.1272,
|
6 |
+
"train_samples": 115376,
|
7 |
+
"train_samples_per_second": 1.36,
|
8 |
+
"train_steps_per_second": 0.043
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,603 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 392,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.002551020408163265,
|
13 |
+
"grad_norm": 14000.175878727785,
|
14 |
+
"learning_rate": 7.499999999999999e-06,
|
15 |
+
"loss": 48.0695,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.012755102040816327,
|
20 |
+
"grad_norm": 3007.3104608903254,
|
21 |
+
"learning_rate": 3.75e-05,
|
22 |
+
"loss": 32.7037,
|
23 |
+
"step": 5
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.025510204081632654,
|
27 |
+
"grad_norm": 4753.9239460531635,
|
28 |
+
"learning_rate": 7.5e-05,
|
29 |
+
"loss": 27.6128,
|
30 |
+
"step": 10
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.03826530612244898,
|
34 |
+
"grad_norm": 7672.954437161885,
|
35 |
+
"learning_rate": 0.0001125,
|
36 |
+
"loss": 118.424,
|
37 |
+
"step": 15
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.05102040816326531,
|
41 |
+
"grad_norm": 2658.2281406370403,
|
42 |
+
"learning_rate": 0.00015,
|
43 |
+
"loss": 36.7995,
|
44 |
+
"step": 20
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.06377551020408163,
|
48 |
+
"grad_norm": 301.82927722978826,
|
49 |
+
"learning_rate": 0.00018749999999999998,
|
50 |
+
"loss": 25.8987,
|
51 |
+
"step": 25
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.07653061224489796,
|
55 |
+
"grad_norm": 261.2743806851815,
|
56 |
+
"learning_rate": 0.000225,
|
57 |
+
"loss": 19.7068,
|
58 |
+
"step": 30
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.08928571428571429,
|
62 |
+
"grad_norm": 170.80865284544745,
|
63 |
+
"learning_rate": 0.0002625,
|
64 |
+
"loss": 16.2639,
|
65 |
+
"step": 35
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.10204081632653061,
|
69 |
+
"grad_norm": 371.9839372489695,
|
70 |
+
"learning_rate": 0.0003,
|
71 |
+
"loss": 14.8666,
|
72 |
+
"step": 40
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.11479591836734694,
|
76 |
+
"grad_norm": 55.46043538057413,
|
77 |
+
"learning_rate": 0.00029985067118498503,
|
78 |
+
"loss": 13.883,
|
79 |
+
"step": 45
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.12755102040816327,
|
83 |
+
"grad_norm": 61.65936269712346,
|
84 |
+
"learning_rate": 0.00029940298206120687,
|
85 |
+
"loss": 11.3142,
|
86 |
+
"step": 50
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.14030612244897958,
|
90 |
+
"grad_norm": 49.78316202658068,
|
91 |
+
"learning_rate": 0.0002986578240004834,
|
92 |
+
"loss": 10.2446,
|
93 |
+
"step": 55
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.15306122448979592,
|
97 |
+
"grad_norm": 95.22883433955214,
|
98 |
+
"learning_rate": 0.0002976166806504174,
|
99 |
+
"loss": 9.2125,
|
100 |
+
"step": 60
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.16581632653061223,
|
104 |
+
"grad_norm": 87.6593544514716,
|
105 |
+
"learning_rate": 0.00029628162498037856,
|
106 |
+
"loss": 8.0024,
|
107 |
+
"step": 65
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.17857142857142858,
|
111 |
+
"grad_norm": 29.457366532379673,
|
112 |
+
"learning_rate": 0.000294655315154116,
|
113 |
+
"loss": 7.0794,
|
114 |
+
"step": 70
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.1913265306122449,
|
118 |
+
"grad_norm": 23.54866864598235,
|
119 |
+
"learning_rate": 0.0002927409892372191,
|
120 |
+
"loss": 6.428,
|
121 |
+
"step": 75
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.20408163265306123,
|
125 |
+
"grad_norm": 14.487277559435018,
|
126 |
+
"learning_rate": 0.00029054245874996426,
|
127 |
+
"loss": 6.0644,
|
128 |
+
"step": 80
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.21683673469387754,
|
132 |
+
"grad_norm": 11.612016698553127,
|
133 |
+
"learning_rate": 0.00028806410107838377,
|
134 |
+
"loss": 5.9737,
|
135 |
+
"step": 85
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.22959183673469388,
|
139 |
+
"grad_norm": 22.24847439069348,
|
140 |
+
"learning_rate": 0.00028531085075866815,
|
141 |
+
"loss": 5.6293,
|
142 |
+
"step": 90
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.2423469387755102,
|
146 |
+
"grad_norm": 25.32273350126865,
|
147 |
+
"learning_rate": 0.0002822881896522532,
|
148 |
+
"loss": 5.4368,
|
149 |
+
"step": 95
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.25510204081632654,
|
153 |
+
"grad_norm": 29.73658242449881,
|
154 |
+
"learning_rate": 0.000279002136031155,
|
155 |
+
"loss": 5.2007,
|
156 |
+
"step": 100
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.26785714285714285,
|
160 |
+
"grad_norm": 17.009329865460675,
|
161 |
+
"learning_rate": 0.0002754592325952845,
|
162 |
+
"loss": 4.9784,
|
163 |
+
"step": 105
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.28061224489795916,
|
167 |
+
"grad_norm": 17.65449666930728,
|
168 |
+
"learning_rate": 0.00027166653344559883,
|
169 |
+
"loss": 5.1761,
|
170 |
+
"step": 110
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.29336734693877553,
|
174 |
+
"grad_norm": 25.60749450078011,
|
175 |
+
"learning_rate": 0.0002676315900390278,
|
176 |
+
"loss": 4.981,
|
177 |
+
"step": 115
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.30612244897959184,
|
181 |
+
"grad_norm": 19.37666875758449,
|
182 |
+
"learning_rate": 0.00026336243615313873,
|
183 |
+
"loss": 4.883,
|
184 |
+
"step": 120
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.31887755102040816,
|
188 |
+
"grad_norm": 25.223445103235044,
|
189 |
+
"learning_rate": 0.00025886757189047695,
|
190 |
+
"loss": 4.6906,
|
191 |
+
"step": 125
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.33163265306122447,
|
195 |
+
"grad_norm": 24.827221258799884,
|
196 |
+
"learning_rate": 0.0002541559467544291,
|
197 |
+
"loss": 4.5962,
|
198 |
+
"step": 130
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.34438775510204084,
|
202 |
+
"grad_norm": 19.172749908950284,
|
203 |
+
"learning_rate": 0.00024923694183030657,
|
204 |
+
"loss": 4.4971,
|
205 |
+
"step": 135
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.35714285714285715,
|
209 |
+
"grad_norm": 17.803290735515485,
|
210 |
+
"learning_rate": 0.0002441203511071278,
|
211 |
+
"loss": 4.3923,
|
212 |
+
"step": 140
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.36989795918367346,
|
216 |
+
"grad_norm": 15.152588588737128,
|
217 |
+
"learning_rate": 0.00023881636197728743,
|
218 |
+
"loss": 4.2507,
|
219 |
+
"step": 145
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.3826530612244898,
|
223 |
+
"grad_norm": 28.266308285286772,
|
224 |
+
"learning_rate": 0.0002333355349529403,
|
225 |
+
"loss": 4.1071,
|
226 |
+
"step": 150
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.39540816326530615,
|
230 |
+
"grad_norm": 13.058293075351123,
|
231 |
+
"learning_rate": 0.00022768878263948445,
|
232 |
+
"loss": 4.0515,
|
233 |
+
"step": 155
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.40816326530612246,
|
237 |
+
"grad_norm": 14.87484760188348,
|
238 |
+
"learning_rate": 0.00022188734800800852,
|
239 |
+
"loss": 3.9059,
|
240 |
+
"step": 160
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.42091836734693877,
|
244 |
+
"grad_norm": 12.57655967452742,
|
245 |
+
"learning_rate": 0.00021594278200996457,
|
246 |
+
"loss": 3.876,
|
247 |
+
"step": 165
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.4336734693877551,
|
251 |
+
"grad_norm": 18.644576504823885,
|
252 |
+
"learning_rate": 0.00020986692057863607,
|
253 |
+
"loss": 3.703,
|
254 |
+
"step": 170
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.44642857142857145,
|
258 |
+
"grad_norm": 6.3705323701789265,
|
259 |
+
"learning_rate": 0.000203671861063193,
|
260 |
+
"loss": 3.6606,
|
261 |
+
"step": 175
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.45918367346938777,
|
265 |
+
"grad_norm": 9.945740907460738,
|
266 |
+
"learning_rate": 0.00019736993814225374,
|
267 |
+
"loss": 3.6781,
|
268 |
+
"step": 180
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.4719387755102041,
|
272 |
+
"grad_norm": 5.28597104720817,
|
273 |
+
"learning_rate": 0.00019097369926491297,
|
274 |
+
"loss": 3.5963,
|
275 |
+
"step": 185
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.4846938775510204,
|
279 |
+
"grad_norm": 5.570474507029548,
|
280 |
+
"learning_rate": 0.00018449587966813208,
|
281 |
+
"loss": 3.5206,
|
282 |
+
"step": 190
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.49744897959183676,
|
286 |
+
"grad_norm": 5.769299754282368,
|
287 |
+
"learning_rate": 0.00017794937702023467,
|
288 |
+
"loss": 3.3751,
|
289 |
+
"step": 195
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.5102040816326531,
|
293 |
+
"grad_norm": 7.514106159557929,
|
294 |
+
"learning_rate": 0.00017134722574099276,
|
295 |
+
"loss": 3.3315,
|
296 |
+
"step": 200
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.5229591836734694,
|
300 |
+
"grad_norm": 5.467040990097222,
|
301 |
+
"learning_rate": 0.0001647025710494341,
|
302 |
+
"loss": 3.2297,
|
303 |
+
"step": 205
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.5357142857142857,
|
307 |
+
"grad_norm": 7.752282985206345,
|
308 |
+
"learning_rate": 0.00015802864279104223,
|
309 |
+
"loss": 3.1714,
|
310 |
+
"step": 210
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.548469387755102,
|
314 |
+
"grad_norm": 4.902568385413757,
|
315 |
+
"learning_rate": 0.0001513387290964616,
|
316 |
+
"loss": 3.076,
|
317 |
+
"step": 215
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.5612244897959183,
|
321 |
+
"grad_norm": 8.809433652257214,
|
322 |
+
"learning_rate": 0.00014464614992415294,
|
323 |
+
"loss": 3.0378,
|
324 |
+
"step": 220
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.5739795918367347,
|
328 |
+
"grad_norm": 5.62075198192736,
|
329 |
+
"learning_rate": 0.00013796423053967887,
|
330 |
+
"loss": 2.946,
|
331 |
+
"step": 225
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.5867346938775511,
|
335 |
+
"grad_norm": 7.091999165572766,
|
336 |
+
"learning_rate": 0.0001313062749844221,
|
337 |
+
"loss": 2.9117,
|
338 |
+
"step": 230
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.5994897959183674,
|
342 |
+
"grad_norm": 9.664621289964327,
|
343 |
+
"learning_rate": 0.00012468553958656264,
|
344 |
+
"loss": 2.7779,
|
345 |
+
"step": 235
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.6122448979591837,
|
349 |
+
"grad_norm": 8.079291607422778,
|
350 |
+
"learning_rate": 0.00011811520656705348,
|
351 |
+
"loss": 2.7627,
|
352 |
+
"step": 240
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.625,
|
356 |
+
"grad_norm": 9.132106023308898,
|
357 |
+
"learning_rate": 0.00011160835779314889,
|
358 |
+
"loss": 2.7464,
|
359 |
+
"step": 245
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.6377551020408163,
|
363 |
+
"grad_norm": 12.688497775305251,
|
364 |
+
"learning_rate": 0.00010517794873174064,
|
365 |
+
"loss": 2.6784,
|
366 |
+
"step": 250
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.6505102040816326,
|
370 |
+
"grad_norm": 7.508821446542865,
|
371 |
+
"learning_rate": 9.883678265436473e-05,
|
372 |
+
"loss": 2.6542,
|
373 |
+
"step": 255
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.6632653061224489,
|
377 |
+
"grad_norm": 7.288150995036509,
|
378 |
+
"learning_rate": 9.259748514523653e-05,
|
379 |
+
"loss": 2.5675,
|
380 |
+
"step": 260
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.6760204081632653,
|
384 |
+
"grad_norm": 2.598306498532322,
|
385 |
+
"learning_rate": 8.647247896307018e-05,
|
386 |
+
"loss": 2.5179,
|
387 |
+
"step": 265
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.6887755102040817,
|
391 |
+
"grad_norm": 2.9340097554582947,
|
392 |
+
"learning_rate": 8.047395930673417e-05,
|
393 |
+
"loss": 2.4673,
|
394 |
+
"step": 270
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.701530612244898,
|
398 |
+
"grad_norm": 3.520741961544552,
|
399 |
+
"learning_rate": 7.46138695339903e-05,
|
400 |
+
"loss": 2.5285,
|
401 |
+
"step": 275
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.7142857142857143,
|
405 |
+
"grad_norm": 4.635037745202294,
|
406 |
+
"learning_rate": 6.890387738166041e-05,
|
407 |
+
"loss": 2.3872,
|
408 |
+
"step": 280
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.7270408163265306,
|
412 |
+
"grad_norm": 3.987422126482862,
|
413 |
+
"learning_rate": 6.335535173456914e-05,
|
414 |
+
"loss": 2.3409,
|
415 |
+
"step": 285
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.7397959183673469,
|
419 |
+
"grad_norm": 3.0549621746230122,
|
420 |
+
"learning_rate": 5.79793399895161e-05,
|
421 |
+
"loss": 2.3254,
|
422 |
+
"step": 290
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.7525510204081632,
|
426 |
+
"grad_norm": 2.527266957929868,
|
427 |
+
"learning_rate": 5.278654605934644e-05,
|
428 |
+
"loss": 2.3429,
|
429 |
+
"step": 295
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.7653061224489796,
|
433 |
+
"grad_norm": 3.9761126497464083,
|
434 |
+
"learning_rate": 4.778730906091632e-05,
|
435 |
+
"loss": 2.2348,
|
436 |
+
"step": 300
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.7780612244897959,
|
440 |
+
"grad_norm": 2.498797778043332,
|
441 |
+
"learning_rate": 4.2991582729385174e-05,
|
442 |
+
"loss": 2.2421,
|
443 |
+
"step": 305
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.7908163265306123,
|
447 |
+
"grad_norm": 2.5462712929101894,
|
448 |
+
"learning_rate": 3.840891559982256e-05,
|
449 |
+
"loss": 2.2751,
|
450 |
+
"step": 310
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.8035714285714286,
|
454 |
+
"grad_norm": 2.307072702085812,
|
455 |
+
"learning_rate": 3.404843199558945e-05,
|
456 |
+
"loss": 2.1867,
|
457 |
+
"step": 315
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.8163265306122449,
|
461 |
+
"grad_norm": 5.263562323908358,
|
462 |
+
"learning_rate": 2.9918813861345952e-05,
|
463 |
+
"loss": 2.181,
|
464 |
+
"step": 320
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.8290816326530612,
|
468 |
+
"grad_norm": 2.0011040214883575,
|
469 |
+
"learning_rate": 2.6028283476858038e-05,
|
470 |
+
"loss": 2.1732,
|
471 |
+
"step": 325
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.8418367346938775,
|
475 |
+
"grad_norm": 2.2471501177416116,
|
476 |
+
"learning_rate": 2.238458708602039e-05,
|
477 |
+
"loss": 2.1108,
|
478 |
+
"step": 330
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.8545918367346939,
|
482 |
+
"grad_norm": 1.66846134386125,
|
483 |
+
"learning_rate": 1.8994979473690537e-05,
|
484 |
+
"loss": 2.1007,
|
485 |
+
"step": 335
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.8673469387755102,
|
489 |
+
"grad_norm": 2.0450866177774976,
|
490 |
+
"learning_rate": 1.5866209521043304e-05,
|
491 |
+
"loss": 2.0334,
|
492 |
+
"step": 340
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.8801020408163265,
|
496 |
+
"grad_norm": 2.1608778408402807,
|
497 |
+
"learning_rate": 1.3004506768205226e-05,
|
498 |
+
"loss": 2.0735,
|
499 |
+
"step": 345
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.8928571428571429,
|
503 |
+
"grad_norm": 2.1504307790627912,
|
504 |
+
"learning_rate": 1.0415569010922963e-05,
|
505 |
+
"loss": 2.0473,
|
506 |
+
"step": 350
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.9056122448979592,
|
510 |
+
"grad_norm": 1.6880900496760922,
|
511 |
+
"learning_rate": 8.104550955962469e-06,
|
512 |
+
"loss": 2.029,
|
513 |
+
"step": 355
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.9183673469387755,
|
517 |
+
"grad_norm": 1.7900392749998477,
|
518 |
+
"learning_rate": 6.076053957825411e-06,
|
519 |
+
"loss": 2.0533,
|
520 |
+
"step": 360
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.9311224489795918,
|
524 |
+
"grad_norm": 1.5178075882516209,
|
525 |
+
"learning_rate": 4.334116857218317e-06,
|
526 |
+
"loss": 1.9693,
|
527 |
+
"step": 365
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.9438775510204082,
|
531 |
+
"grad_norm": 1.6874487405997367,
|
532 |
+
"learning_rate": 2.882207939515435e-06,
|
533 |
+
"loss": 1.9791,
|
534 |
+
"step": 370
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.9566326530612245,
|
538 |
+
"grad_norm": 1.4244094850155935,
|
539 |
+
"learning_rate": 1.7232180292259369e-06,
|
540 |
+
"loss": 1.9566,
|
541 |
+
"step": 375
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.9693877551020408,
|
545 |
+
"grad_norm": 1.302432101303747,
|
546 |
+
"learning_rate": 8.594547342153979e-07,
|
547 |
+
"loss": 1.9451,
|
548 |
+
"step": 380
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.9821428571428571,
|
552 |
+
"grad_norm": 1.2049628347309629,
|
553 |
+
"learning_rate": 2.926378511411198e-07,
|
554 |
+
"loss": 1.9952,
|
555 |
+
"step": 385
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.9948979591836735,
|
559 |
+
"grad_norm": 1.2981702353996074,
|
560 |
+
"learning_rate": 2.3895941249507665e-08,
|
561 |
+
"loss": 1.9687,
|
562 |
+
"step": 390
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 1.0,
|
566 |
+
"eval_loss": 6.496990203857422,
|
567 |
+
"eval_runtime": 2.5179,
|
568 |
+
"eval_samples_per_second": 3.972,
|
569 |
+
"eval_steps_per_second": 0.397,
|
570 |
+
"step": 392
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 1.0,
|
574 |
+
"step": 392,
|
575 |
+
"total_flos": 13478110691328.0,
|
576 |
+
"train_loss": 7.205524507833987,
|
577 |
+
"train_runtime": 9216.1272,
|
578 |
+
"train_samples_per_second": 1.36,
|
579 |
+
"train_steps_per_second": 0.043
|
580 |
+
}
|
581 |
+
],
|
582 |
+
"logging_steps": 5,
|
583 |
+
"max_steps": 392,
|
584 |
+
"num_input_tokens_seen": 0,
|
585 |
+
"num_train_epochs": 1,
|
586 |
+
"save_steps": 100,
|
587 |
+
"stateful_callbacks": {
|
588 |
+
"TrainerControl": {
|
589 |
+
"args": {
|
590 |
+
"should_epoch_stop": false,
|
591 |
+
"should_evaluate": false,
|
592 |
+
"should_log": false,
|
593 |
+
"should_save": true,
|
594 |
+
"should_training_stop": true
|
595 |
+
},
|
596 |
+
"attributes": {}
|
597 |
+
}
|
598 |
+
},
|
599 |
+
"total_flos": 13478110691328.0,
|
600 |
+
"train_batch_size": 2,
|
601 |
+
"trial_name": null,
|
602 |
+
"trial_params": null
|
603 |
+
}
|