sedrickkeh commited on
Commit
f82ced0
·
verified ·
1 Parent(s): b5853c0

End of training

Browse files
README.md CHANGED
@@ -4,6 +4,7 @@ license: llama3.1
4
  base_model: meta-llama/Meta-Llama-3.1-8B
5
  tags:
6
  - llama-factory
 
7
  - generated_from_trainer
8
  model-index:
9
  - name: oh_teknium_scaling_down_random_0.2
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # oh_teknium_scaling_down_random_0.2
17
 
18
- This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
  - Loss: 0.4692
21
 
 
4
  base_model: meta-llama/Meta-Llama-3.1-8B
5
  tags:
6
  - llama-factory
7
+ - full
8
  - generated_from_trainer
9
  model-index:
10
  - name: oh_teknium_scaling_down_random_0.2
 
16
 
17
  # oh_teknium_scaling_down_random_0.2
18
 
19
+ This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the mlfoundations-dev/oh_teknium_scaling_down_random_0.2 dataset.
20
  It achieves the following results on the evaluation set:
21
  - Loss: 0.4692
22
 
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.987202925045704,
3
+ "eval_loss": 0.46915486454963684,
4
+ "eval_runtime": 46.3759,
5
+ "eval_samples_per_second": 39.676,
6
+ "eval_steps_per_second": 0.625,
7
+ "total_flos": 341498218414080.0,
8
+ "train_loss": 0.4590076675602034,
9
+ "train_runtime": 7001.299,
10
+ "train_samples_per_second": 14.978,
11
+ "train_steps_per_second": 0.029
12
+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.987202925045704,
3
+ "eval_loss": 0.46915486454963684,
4
+ "eval_runtime": 46.3759,
5
+ "eval_samples_per_second": 39.676,
6
+ "eval_steps_per_second": 0.625
7
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.987202925045704,
3
+ "total_flos": 341498218414080.0,
4
+ "train_loss": 0.4590076675602034,
5
+ "train_runtime": 7001.299,
6
+ "train_samples_per_second": 14.978,
7
+ "train_steps_per_second": 0.029
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,206 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.987202925045704,
5
+ "eval_steps": 500,
6
+ "global_step": 204,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.14625228519195613,
13
+ "grad_norm": 3.582301207210251,
14
+ "learning_rate": 5e-06,
15
+ "loss": 0.6264,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.29250457038391225,
20
+ "grad_norm": 0.8448007859307827,
21
+ "learning_rate": 5e-06,
22
+ "loss": 0.5676,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.43875685557586835,
27
+ "grad_norm": 1.1496603868484656,
28
+ "learning_rate": 5e-06,
29
+ "loss": 0.5365,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.5850091407678245,
34
+ "grad_norm": 0.6501842231450267,
35
+ "learning_rate": 5e-06,
36
+ "loss": 0.5288,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.7312614259597806,
41
+ "grad_norm": 0.6880486176943897,
42
+ "learning_rate": 5e-06,
43
+ "loss": 0.5117,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.8775137111517367,
48
+ "grad_norm": 0.653270772148158,
49
+ "learning_rate": 5e-06,
50
+ "loss": 0.5034,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.9945155393053017,
55
+ "eval_loss": 0.48675259947776794,
56
+ "eval_runtime": 48.1062,
57
+ "eval_samples_per_second": 38.249,
58
+ "eval_steps_per_second": 0.603,
59
+ "step": 68
60
+ },
61
+ {
62
+ "epoch": 1.0255941499085923,
63
+ "grad_norm": 0.8213019683138277,
64
+ "learning_rate": 5e-06,
65
+ "loss": 0.5267,
66
+ "step": 70
67
+ },
68
+ {
69
+ "epoch": 1.1718464351005484,
70
+ "grad_norm": 0.6316112543570708,
71
+ "learning_rate": 5e-06,
72
+ "loss": 0.4427,
73
+ "step": 80
74
+ },
75
+ {
76
+ "epoch": 1.3180987202925045,
77
+ "grad_norm": 0.5370226018361522,
78
+ "learning_rate": 5e-06,
79
+ "loss": 0.4395,
80
+ "step": 90
81
+ },
82
+ {
83
+ "epoch": 1.4643510054844606,
84
+ "grad_norm": 0.5840998374236711,
85
+ "learning_rate": 5e-06,
86
+ "loss": 0.4431,
87
+ "step": 100
88
+ },
89
+ {
90
+ "epoch": 1.610603290676417,
91
+ "grad_norm": 0.5441743828650639,
92
+ "learning_rate": 5e-06,
93
+ "loss": 0.4389,
94
+ "step": 110
95
+ },
96
+ {
97
+ "epoch": 1.7568555758683728,
98
+ "grad_norm": 0.4999808048028024,
99
+ "learning_rate": 5e-06,
100
+ "loss": 0.4379,
101
+ "step": 120
102
+ },
103
+ {
104
+ "epoch": 1.9031078610603291,
105
+ "grad_norm": 0.611839727056921,
106
+ "learning_rate": 5e-06,
107
+ "loss": 0.4325,
108
+ "step": 130
109
+ },
110
+ {
111
+ "epoch": 1.9908592321755028,
112
+ "eval_loss": 0.46772316098213196,
113
+ "eval_runtime": 47.4216,
114
+ "eval_samples_per_second": 38.801,
115
+ "eval_steps_per_second": 0.612,
116
+ "step": 136
117
+ },
118
+ {
119
+ "epoch": 2.0511882998171846,
120
+ "grad_norm": 0.8668059984866675,
121
+ "learning_rate": 5e-06,
122
+ "loss": 0.4489,
123
+ "step": 140
124
+ },
125
+ {
126
+ "epoch": 2.197440585009141,
127
+ "grad_norm": 0.6140471225460572,
128
+ "learning_rate": 5e-06,
129
+ "loss": 0.3845,
130
+ "step": 150
131
+ },
132
+ {
133
+ "epoch": 2.343692870201097,
134
+ "grad_norm": 0.6202755918802835,
135
+ "learning_rate": 5e-06,
136
+ "loss": 0.3819,
137
+ "step": 160
138
+ },
139
+ {
140
+ "epoch": 2.489945155393053,
141
+ "grad_norm": 0.6403659423565966,
142
+ "learning_rate": 5e-06,
143
+ "loss": 0.3839,
144
+ "step": 170
145
+ },
146
+ {
147
+ "epoch": 2.636197440585009,
148
+ "grad_norm": 0.604130131999038,
149
+ "learning_rate": 5e-06,
150
+ "loss": 0.3867,
151
+ "step": 180
152
+ },
153
+ {
154
+ "epoch": 2.7824497257769654,
155
+ "grad_norm": 0.592166338429596,
156
+ "learning_rate": 5e-06,
157
+ "loss": 0.3815,
158
+ "step": 190
159
+ },
160
+ {
161
+ "epoch": 2.9287020109689212,
162
+ "grad_norm": 0.47952199046688787,
163
+ "learning_rate": 5e-06,
164
+ "loss": 0.3893,
165
+ "step": 200
166
+ },
167
+ {
168
+ "epoch": 2.987202925045704,
169
+ "eval_loss": 0.46915486454963684,
170
+ "eval_runtime": 46.4418,
171
+ "eval_samples_per_second": 39.619,
172
+ "eval_steps_per_second": 0.624,
173
+ "step": 204
174
+ },
175
+ {
176
+ "epoch": 2.987202925045704,
177
+ "step": 204,
178
+ "total_flos": 341498218414080.0,
179
+ "train_loss": 0.4590076675602034,
180
+ "train_runtime": 7001.299,
181
+ "train_samples_per_second": 14.978,
182
+ "train_steps_per_second": 0.029
183
+ }
184
+ ],
185
+ "logging_steps": 10,
186
+ "max_steps": 204,
187
+ "num_input_tokens_seen": 0,
188
+ "num_train_epochs": 3,
189
+ "save_steps": 500,
190
+ "stateful_callbacks": {
191
+ "TrainerControl": {
192
+ "args": {
193
+ "should_epoch_stop": false,
194
+ "should_evaluate": false,
195
+ "should_log": false,
196
+ "should_save": true,
197
+ "should_training_stop": true
198
+ },
199
+ "attributes": {}
200
+ }
201
+ },
202
+ "total_flos": 341498218414080.0,
203
+ "train_batch_size": 8,
204
+ "trial_name": null,
205
+ "trial_params": null
206
+ }
training_eval_loss.png ADDED
training_loss.png ADDED