martimfasantos
commited on
Model save
Browse files- README.md +65 -0
- all_results.json +9 -0
- generation_config.json +7 -0
- model.safetensors +1 -1
- runs/Jul12_10-47-58_poseidon/events.out.tfevents.1720781840.poseidon.3256517.0 +2 -2
- train_results.json +9 -0
- trainer_state.json +568 -0
README.md
ADDED
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
|
4 |
+
tags:
|
5 |
+
- trl
|
6 |
+
- sft
|
7 |
+
- generated_from_trainer
|
8 |
+
datasets:
|
9 |
+
- generator
|
10 |
+
model-index:
|
11 |
+
- name: tinyllama-1.1b-mt-sft-full_new
|
12 |
+
results: []
|
13 |
+
---
|
14 |
+
|
15 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
16 |
+
should probably proofread and complete it, then remove this comment. -->
|
17 |
+
|
18 |
+
# tinyllama-1.1b-mt-sft-full_new
|
19 |
+
|
20 |
+
This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on the generator dataset.
|
21 |
+
It achieves the following results on the evaluation set:
|
22 |
+
- Loss: 1.7292
|
23 |
+
|
24 |
+
## Model description
|
25 |
+
|
26 |
+
More information needed
|
27 |
+
|
28 |
+
## Intended uses & limitations
|
29 |
+
|
30 |
+
More information needed
|
31 |
+
|
32 |
+
## Training and evaluation data
|
33 |
+
|
34 |
+
More information needed
|
35 |
+
|
36 |
+
## Training procedure
|
37 |
+
|
38 |
+
### Training hyperparameters
|
39 |
+
|
40 |
+
The following hyperparameters were used during training:
|
41 |
+
- learning_rate: 1e-05
|
42 |
+
- train_batch_size: 4
|
43 |
+
- eval_batch_size: 8
|
44 |
+
- seed: 42
|
45 |
+
- distributed_type: multi-GPU
|
46 |
+
- gradient_accumulation_steps: 2
|
47 |
+
- total_train_batch_size: 8
|
48 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
49 |
+
- lr_scheduler_type: cosine
|
50 |
+
- lr_scheduler_warmup_ratio: 0.1
|
51 |
+
- num_epochs: 1
|
52 |
+
|
53 |
+
### Training results
|
54 |
+
|
55 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
56 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
57 |
+
| 1.6671 | 1.0 | 739 | 1.7292 |
|
58 |
+
|
59 |
+
|
60 |
+
### Framework versions
|
61 |
+
|
62 |
+
- Transformers 4.41.2
|
63 |
+
- Pytorch 2.1.2
|
64 |
+
- Datasets 2.20.0
|
65 |
+
- Tokenizers 0.19.1
|
all_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"total_flos": 7.51411531916247e+16,
|
4 |
+
"train_loss": 1.726003464891075,
|
5 |
+
"train_runtime": 1754.8001,
|
6 |
+
"train_samples": 117404,
|
7 |
+
"train_samples_per_second": 3.368,
|
8 |
+
"train_steps_per_second": 0.421
|
9 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token_id": 1,
|
3 |
+
"eos_token_id": 2,
|
4 |
+
"max_length": 2048,
|
5 |
+
"pad_token_id": 0,
|
6 |
+
"transformers_version": "4.41.2"
|
7 |
+
}
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 2200119864
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e706fe2a905adcb81631b2bd4fa09de4d318d8d02944b9c5a5564e245a8462a6
|
3 |
size 2200119864
|
runs/Jul12_10-47-58_poseidon/events.out.tfevents.1720781840.poseidon.3256517.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8fafe339938aac22eaf4cdaac081723872de0fe3f44f51955170c2f7ebeaf31c
|
3 |
+
size 21231
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"total_flos": 7.51411531916247e+16,
|
4 |
+
"train_loss": 1.726003464891075,
|
5 |
+
"train_runtime": 1754.8001,
|
6 |
+
"train_samples": 117404,
|
7 |
+
"train_samples_per_second": 3.368,
|
8 |
+
"train_steps_per_second": 0.421
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,568 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 739,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0013531799729364006,
|
13 |
+
"grad_norm": 22.625,
|
14 |
+
"learning_rate": 1.3513513513513515e-07,
|
15 |
+
"loss": 2.1989,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.013531799729364006,
|
20 |
+
"grad_norm": 22.5,
|
21 |
+
"learning_rate": 1.3513513513513515e-06,
|
22 |
+
"loss": 2.2213,
|
23 |
+
"step": 10
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.02706359945872801,
|
27 |
+
"grad_norm": 8.6875,
|
28 |
+
"learning_rate": 2.702702702702703e-06,
|
29 |
+
"loss": 2.2125,
|
30 |
+
"step": 20
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.04059539918809202,
|
34 |
+
"grad_norm": 5.15625,
|
35 |
+
"learning_rate": 4.0540540540540545e-06,
|
36 |
+
"loss": 2.1298,
|
37 |
+
"step": 30
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.05412719891745602,
|
41 |
+
"grad_norm": 3.734375,
|
42 |
+
"learning_rate": 5.405405405405406e-06,
|
43 |
+
"loss": 2.0609,
|
44 |
+
"step": 40
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.06765899864682003,
|
48 |
+
"grad_norm": 3.65625,
|
49 |
+
"learning_rate": 6.7567567567567575e-06,
|
50 |
+
"loss": 2.0108,
|
51 |
+
"step": 50
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.08119079837618404,
|
55 |
+
"grad_norm": 3.546875,
|
56 |
+
"learning_rate": 8.108108108108109e-06,
|
57 |
+
"loss": 1.918,
|
58 |
+
"step": 60
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.09472259810554803,
|
62 |
+
"grad_norm": 3.03125,
|
63 |
+
"learning_rate": 9.45945945945946e-06,
|
64 |
+
"loss": 1.8292,
|
65 |
+
"step": 70
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.10825439783491204,
|
69 |
+
"grad_norm": 2.90625,
|
70 |
+
"learning_rate": 9.99799150901764e-06,
|
71 |
+
"loss": 1.8037,
|
72 |
+
"step": 80
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.12178619756427606,
|
76 |
+
"grad_norm": 2.796875,
|
77 |
+
"learning_rate": 9.985723240513795e-06,
|
78 |
+
"loss": 1.7704,
|
79 |
+
"step": 90
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.13531799729364005,
|
83 |
+
"grad_norm": 2.578125,
|
84 |
+
"learning_rate": 9.962329873928743e-06,
|
85 |
+
"loss": 1.7527,
|
86 |
+
"step": 100
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.14884979702300405,
|
90 |
+
"grad_norm": 2.609375,
|
91 |
+
"learning_rate": 9.92786360901067e-06,
|
92 |
+
"loss": 1.7479,
|
93 |
+
"step": 110
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.16238159675236807,
|
97 |
+
"grad_norm": 2.640625,
|
98 |
+
"learning_rate": 9.882401353473711e-06,
|
99 |
+
"loss": 1.7169,
|
100 |
+
"step": 120
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.17591339648173207,
|
104 |
+
"grad_norm": 2.625,
|
105 |
+
"learning_rate": 9.826044551386743e-06,
|
106 |
+
"loss": 1.7196,
|
107 |
+
"step": 130
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.18944519621109607,
|
111 |
+
"grad_norm": 2.703125,
|
112 |
+
"learning_rate": 9.758918956812024e-06,
|
113 |
+
"loss": 1.7238,
|
114 |
+
"step": 140
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.2029769959404601,
|
118 |
+
"grad_norm": 2.65625,
|
119 |
+
"learning_rate": 9.681174353198687e-06,
|
120 |
+
"loss": 1.7291,
|
121 |
+
"step": 150
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.2165087956698241,
|
125 |
+
"grad_norm": 2.625,
|
126 |
+
"learning_rate": 9.59298421915731e-06,
|
127 |
+
"loss": 1.7071,
|
128 |
+
"step": 160
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.23004059539918809,
|
132 |
+
"grad_norm": 2.546875,
|
133 |
+
"learning_rate": 9.494545341361291e-06,
|
134 |
+
"loss": 1.715,
|
135 |
+
"step": 170
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.2435723951285521,
|
139 |
+
"grad_norm": 2.734375,
|
140 |
+
"learning_rate": 9.386077375438848e-06,
|
141 |
+
"loss": 1.7119,
|
142 |
+
"step": 180
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.2571041948579161,
|
146 |
+
"grad_norm": 2.5625,
|
147 |
+
"learning_rate": 9.267822355835402e-06,
|
148 |
+
"loss": 1.7079,
|
149 |
+
"step": 190
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.2706359945872801,
|
153 |
+
"grad_norm": 2.6875,
|
154 |
+
"learning_rate": 9.140044155740102e-06,
|
155 |
+
"loss": 1.6912,
|
156 |
+
"step": 200
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.28416779431664413,
|
160 |
+
"grad_norm": 2.6875,
|
161 |
+
"learning_rate": 9.003027898281551e-06,
|
162 |
+
"loss": 1.7097,
|
163 |
+
"step": 210
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.2976995940460081,
|
167 |
+
"grad_norm": 2.59375,
|
168 |
+
"learning_rate": 8.85707932030663e-06,
|
169 |
+
"loss": 1.6883,
|
170 |
+
"step": 220
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.3112313937753721,
|
174 |
+
"grad_norm": 2.484375,
|
175 |
+
"learning_rate": 8.702524090162023e-06,
|
176 |
+
"loss": 1.6917,
|
177 |
+
"step": 230
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.32476319350473615,
|
181 |
+
"grad_norm": 2.65625,
|
182 |
+
"learning_rate": 8.539707081000808e-06,
|
183 |
+
"loss": 1.6951,
|
184 |
+
"step": 240
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.3382949932341001,
|
188 |
+
"grad_norm": 2.46875,
|
189 |
+
"learning_rate": 8.36899160123559e-06,
|
190 |
+
"loss": 1.7043,
|
191 |
+
"step": 250
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.35182679296346414,
|
195 |
+
"grad_norm": 2.5,
|
196 |
+
"learning_rate": 8.190758583855379e-06,
|
197 |
+
"loss": 1.6851,
|
198 |
+
"step": 260
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.36535859269282817,
|
202 |
+
"grad_norm": 2.53125,
|
203 |
+
"learning_rate": 8.005405736415127e-06,
|
204 |
+
"loss": 1.6912,
|
205 |
+
"step": 270
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.37889039242219213,
|
209 |
+
"grad_norm": 2.578125,
|
210 |
+
"learning_rate": 7.813346653594667e-06,
|
211 |
+
"loss": 1.7011,
|
212 |
+
"step": 280
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.39242219215155616,
|
216 |
+
"grad_norm": 2.484375,
|
217 |
+
"learning_rate": 7.615009894307263e-06,
|
218 |
+
"loss": 1.6955,
|
219 |
+
"step": 290
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.4059539918809202,
|
223 |
+
"grad_norm": 2.640625,
|
224 |
+
"learning_rate": 7.410838025417083e-06,
|
225 |
+
"loss": 1.6848,
|
226 |
+
"step": 300
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.41948579161028415,
|
230 |
+
"grad_norm": 2.6875,
|
231 |
+
"learning_rate": 7.201286634199484e-06,
|
232 |
+
"loss": 1.6749,
|
233 |
+
"step": 310
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.4330175913396482,
|
237 |
+
"grad_norm": 2.546875,
|
238 |
+
"learning_rate": 6.986823311747652e-06,
|
239 |
+
"loss": 1.6797,
|
240 |
+
"step": 320
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.4465493910690122,
|
244 |
+
"grad_norm": 2.53125,
|
245 |
+
"learning_rate": 6.767926609594032e-06,
|
246 |
+
"loss": 1.6744,
|
247 |
+
"step": 330
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.46008119079837617,
|
251 |
+
"grad_norm": 2.453125,
|
252 |
+
"learning_rate": 6.545084971874738e-06,
|
253 |
+
"loss": 1.6636,
|
254 |
+
"step": 340
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.4736129905277402,
|
258 |
+
"grad_norm": 2.640625,
|
259 |
+
"learning_rate": 6.3187956454196885e-06,
|
260 |
+
"loss": 1.6949,
|
261 |
+
"step": 350
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.4871447902571042,
|
265 |
+
"grad_norm": 2.46875,
|
266 |
+
"learning_rate": 6.0895635702004985e-06,
|
267 |
+
"loss": 1.6903,
|
268 |
+
"step": 360
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.5006765899864682,
|
272 |
+
"grad_norm": 2.53125,
|
273 |
+
"learning_rate": 5.857900252611959e-06,
|
274 |
+
"loss": 1.6602,
|
275 |
+
"step": 370
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.5142083897158322,
|
279 |
+
"grad_norm": 2.515625,
|
280 |
+
"learning_rate": 5.624322624101255e-06,
|
281 |
+
"loss": 1.6888,
|
282 |
+
"step": 380
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.5277401894451962,
|
286 |
+
"grad_norm": 2.765625,
|
287 |
+
"learning_rate": 5.3893518876917795e-06,
|
288 |
+
"loss": 1.6876,
|
289 |
+
"step": 390
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.5412719891745602,
|
293 |
+
"grad_norm": 2.546875,
|
294 |
+
"learning_rate": 5.153512354975388e-06,
|
295 |
+
"loss": 1.656,
|
296 |
+
"step": 400
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.5548037889039242,
|
300 |
+
"grad_norm": 2.71875,
|
301 |
+
"learning_rate": 4.917330276168208e-06,
|
302 |
+
"loss": 1.6737,
|
303 |
+
"step": 410
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.5683355886332883,
|
307 |
+
"grad_norm": 2.59375,
|
308 |
+
"learning_rate": 4.681332665840647e-06,
|
309 |
+
"loss": 1.6856,
|
310 |
+
"step": 420
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.5818673883626523,
|
314 |
+
"grad_norm": 2.5625,
|
315 |
+
"learning_rate": 4.446046126941801e-06,
|
316 |
+
"loss": 1.6917,
|
317 |
+
"step": 430
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.5953991880920162,
|
321 |
+
"grad_norm": 2.71875,
|
322 |
+
"learning_rate": 4.211995675742358e-06,
|
323 |
+
"loss": 1.6728,
|
324 |
+
"step": 440
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.6089309878213802,
|
328 |
+
"grad_norm": 2.59375,
|
329 |
+
"learning_rate": 3.979703570318017e-06,
|
330 |
+
"loss": 1.6919,
|
331 |
+
"step": 450
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.6224627875507442,
|
335 |
+
"grad_norm": 2.609375,
|
336 |
+
"learning_rate": 3.749688145187497e-06,
|
337 |
+
"loss": 1.6789,
|
338 |
+
"step": 460
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.6359945872801083,
|
342 |
+
"grad_norm": 2.578125,
|
343 |
+
"learning_rate": 3.5224626547055463e-06,
|
344 |
+
"loss": 1.687,
|
345 |
+
"step": 470
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.6495263870094723,
|
349 |
+
"grad_norm": 2.703125,
|
350 |
+
"learning_rate": 3.298534127791785e-06,
|
351 |
+
"loss": 1.678,
|
352 |
+
"step": 480
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.6630581867388363,
|
356 |
+
"grad_norm": 2.453125,
|
357 |
+
"learning_rate": 3.078402236550926e-06,
|
358 |
+
"loss": 1.6756,
|
359 |
+
"step": 490
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.6765899864682002,
|
363 |
+
"grad_norm": 2.546875,
|
364 |
+
"learning_rate": 2.86255818130892e-06,
|
365 |
+
"loss": 1.6895,
|
366 |
+
"step": 500
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.6901217861975643,
|
370 |
+
"grad_norm": 2.5,
|
371 |
+
"learning_rate": 2.6514835945529706e-06,
|
372 |
+
"loss": 1.685,
|
373 |
+
"step": 510
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.7036535859269283,
|
377 |
+
"grad_norm": 2.609375,
|
378 |
+
"learning_rate": 2.4456494662211082e-06,
|
379 |
+
"loss": 1.6879,
|
380 |
+
"step": 520
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.7171853856562923,
|
384 |
+
"grad_norm": 2.59375,
|
385 |
+
"learning_rate": 2.245515092739488e-06,
|
386 |
+
"loss": 1.6812,
|
387 |
+
"step": 530
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.7307171853856563,
|
391 |
+
"grad_norm": 2.671875,
|
392 |
+
"learning_rate": 2.0515270521524562e-06,
|
393 |
+
"loss": 1.6727,
|
394 |
+
"step": 540
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.7442489851150202,
|
398 |
+
"grad_norm": 2.5625,
|
399 |
+
"learning_rate": 1.864118207632315e-06,
|
400 |
+
"loss": 1.6839,
|
401 |
+
"step": 550
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.7577807848443843,
|
405 |
+
"grad_norm": 2.78125,
|
406 |
+
"learning_rate": 1.683706741592327e-06,
|
407 |
+
"loss": 1.6745,
|
408 |
+
"step": 560
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.7713125845737483,
|
412 |
+
"grad_norm": 2.796875,
|
413 |
+
"learning_rate": 1.5106952225582312e-06,
|
414 |
+
"loss": 1.677,
|
415 |
+
"step": 570
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.7848443843031123,
|
419 |
+
"grad_norm": 2.53125,
|
420 |
+
"learning_rate": 1.3454697068804434e-06,
|
421 |
+
"loss": 1.6677,
|
422 |
+
"step": 580
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.7983761840324763,
|
426 |
+
"grad_norm": 2.515625,
|
427 |
+
"learning_rate": 1.1883988772913924e-06,
|
428 |
+
"loss": 1.6725,
|
429 |
+
"step": 590
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.8119079837618404,
|
433 |
+
"grad_norm": 2.5625,
|
434 |
+
"learning_rate": 1.0398332202301708e-06,
|
435 |
+
"loss": 1.669,
|
436 |
+
"step": 600
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.8254397834912043,
|
440 |
+
"grad_norm": 2.515625,
|
441 |
+
"learning_rate": 9.001042437702468e-07,
|
442 |
+
"loss": 1.6775,
|
443 |
+
"step": 610
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.8389715832205683,
|
447 |
+
"grad_norm": 2.578125,
|
448 |
+
"learning_rate": 7.695237378953224e-07,
|
449 |
+
"loss": 1.6914,
|
450 |
+
"step": 620
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.8525033829499323,
|
454 |
+
"grad_norm": 2.5,
|
455 |
+
"learning_rate": 6.483830787739659e-07,
|
456 |
+
"loss": 1.6743,
|
457 |
+
"step": 630
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.8660351826792964,
|
461 |
+
"grad_norm": 2.453125,
|
462 |
+
"learning_rate": 5.369525785854368e-07,
|
463 |
+
"loss": 1.6784,
|
464 |
+
"step": 640
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.8795669824086604,
|
468 |
+
"grad_norm": 2.546875,
|
469 |
+
"learning_rate": 4.3548088234752814e-07,
|
470 |
+
"loss": 1.687,
|
471 |
+
"step": 650
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.8930987821380244,
|
475 |
+
"grad_norm": 2.59375,
|
476 |
+
"learning_rate": 3.4419441309229587e-07,
|
477 |
+
"loss": 1.6729,
|
478 |
+
"step": 660
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.9066305818673883,
|
482 |
+
"grad_norm": 2.5625,
|
483 |
+
"learning_rate": 2.6329686662774247e-07,
|
484 |
+
"loss": 1.6775,
|
485 |
+
"step": 670
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.9201623815967523,
|
489 |
+
"grad_norm": 2.390625,
|
490 |
+
"learning_rate": 1.9296875701281858e-07,
|
491 |
+
"loss": 1.6813,
|
492 |
+
"step": 680
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.9336941813261164,
|
496 |
+
"grad_norm": 2.46875,
|
497 |
+
"learning_rate": 1.333670137599713e-07,
|
498 |
+
"loss": 1.6944,
|
499 |
+
"step": 690
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.9472259810554804,
|
503 |
+
"grad_norm": 2.75,
|
504 |
+
"learning_rate": 8.462463166403978e-08,
|
505 |
+
"loss": 1.6899,
|
506 |
+
"step": 700
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.9607577807848444,
|
510 |
+
"grad_norm": 2.4375,
|
511 |
+
"learning_rate": 4.685037403886483e-08,
|
512 |
+
"loss": 1.6669,
|
513 |
+
"step": 710
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.9742895805142084,
|
517 |
+
"grad_norm": 2.640625,
|
518 |
+
"learning_rate": 2.012853002380466e-08,
|
519 |
+
"loss": 1.6881,
|
520 |
+
"step": 720
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.9878213802435724,
|
524 |
+
"grad_norm": 2.59375,
|
525 |
+
"learning_rate": 4.51872650170937e-09,
|
526 |
+
"loss": 1.6671,
|
527 |
+
"step": 730
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 1.0,
|
531 |
+
"eval_loss": 1.7291793823242188,
|
532 |
+
"eval_runtime": 27.3164,
|
533 |
+
"eval_samples_per_second": 15.924,
|
534 |
+
"eval_steps_per_second": 2.013,
|
535 |
+
"step": 739
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 1.0,
|
539 |
+
"step": 739,
|
540 |
+
"total_flos": 7.51411531916247e+16,
|
541 |
+
"train_loss": 1.726003464891075,
|
542 |
+
"train_runtime": 1754.8001,
|
543 |
+
"train_samples_per_second": 3.368,
|
544 |
+
"train_steps_per_second": 0.421
|
545 |
+
}
|
546 |
+
],
|
547 |
+
"logging_steps": 10,
|
548 |
+
"max_steps": 739,
|
549 |
+
"num_input_tokens_seen": 0,
|
550 |
+
"num_train_epochs": 1,
|
551 |
+
"save_steps": 100,
|
552 |
+
"stateful_callbacks": {
|
553 |
+
"TrainerControl": {
|
554 |
+
"args": {
|
555 |
+
"should_epoch_stop": false,
|
556 |
+
"should_evaluate": false,
|
557 |
+
"should_log": false,
|
558 |
+
"should_save": true,
|
559 |
+
"should_training_stop": false
|
560 |
+
},
|
561 |
+
"attributes": {}
|
562 |
+
}
|
563 |
+
},
|
564 |
+
"total_flos": 7.51411531916247e+16,
|
565 |
+
"train_batch_size": 4,
|
566 |
+
"trial_name": null,
|
567 |
+
"trial_params": null
|
568 |
+
}
|