sedrickkeh commited on
Commit
124e02f
·
verified ·
1 Parent(s): c55f243

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: seed_math_tiger_lab_math
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # seed_math_tiger_lab_math
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: 0.4580
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: seed_math_tiger_lab_math
 
16
 
17
  # seed_math_tiger_lab_math
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/seed_math_tiger_lab_math dataset.
20
  It achieves the following results on the evaluation set:
21
  - Loss: 0.4580
22
 
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.985645933014354,
3
+ "eval_loss": 0.45799314975738525,
4
+ "eval_runtime": 27.1878,
5
+ "eval_samples_per_second": 25.894,
6
+ "eval_steps_per_second": 0.405,
7
+ "total_flos": 130443525488640.0,
8
+ "train_loss": 0.5125297094002749,
9
+ "train_runtime": 4852.6983,
10
+ "train_samples_per_second": 8.26,
11
+ "train_steps_per_second": 0.016
12
+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.985645933014354,
3
+ "eval_loss": 0.45799314975738525,
4
+ "eval_runtime": 27.1878,
5
+ "eval_samples_per_second": 25.894,
6
+ "eval_steps_per_second": 0.405
7
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.985645933014354,
3
+ "total_flos": 130443525488640.0,
4
+ "train_loss": 0.5125297094002749,
5
+ "train_runtime": 4852.6983,
6
+ "train_samples_per_second": 8.26,
7
+ "train_steps_per_second": 0.016
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,115 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.985645933014354,
5
+ "eval_steps": 500,
6
+ "global_step": 78,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.3827751196172249,
13
+ "grad_norm": 3.3279682063032268,
14
+ "learning_rate": 5e-06,
15
+ "loss": 0.6611,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.7655502392344498,
20
+ "grad_norm": 0.9051411832795431,
21
+ "learning_rate": 5e-06,
22
+ "loss": 0.5553,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.9952153110047847,
27
+ "eval_loss": 0.49977537989616394,
28
+ "eval_runtime": 27.5748,
29
+ "eval_samples_per_second": 25.531,
30
+ "eval_steps_per_second": 0.399,
31
+ "step": 26
32
+ },
33
+ {
34
+ "epoch": 1.1483253588516746,
35
+ "grad_norm": 0.6319343232131018,
36
+ "learning_rate": 5e-06,
37
+ "loss": 0.558,
38
+ "step": 30
39
+ },
40
+ {
41
+ "epoch": 1.5311004784688995,
42
+ "grad_norm": 0.600669196106336,
43
+ "learning_rate": 5e-06,
44
+ "loss": 0.4847,
45
+ "step": 40
46
+ },
47
+ {
48
+ "epoch": 1.9138755980861244,
49
+ "grad_norm": 0.8550141582235415,
50
+ "learning_rate": 5e-06,
51
+ "loss": 0.4678,
52
+ "step": 50
53
+ },
54
+ {
55
+ "epoch": 1.9904306220095693,
56
+ "eval_loss": 0.46811407804489136,
57
+ "eval_runtime": 27.5558,
58
+ "eval_samples_per_second": 25.548,
59
+ "eval_steps_per_second": 0.399,
60
+ "step": 52
61
+ },
62
+ {
63
+ "epoch": 2.2966507177033493,
64
+ "grad_norm": 0.7453595051934965,
65
+ "learning_rate": 5e-06,
66
+ "loss": 0.4895,
67
+ "step": 60
68
+ },
69
+ {
70
+ "epoch": 2.679425837320574,
71
+ "grad_norm": 0.7300330189728759,
72
+ "learning_rate": 5e-06,
73
+ "loss": 0.4355,
74
+ "step": 70
75
+ },
76
+ {
77
+ "epoch": 2.985645933014354,
78
+ "eval_loss": 0.45799314975738525,
79
+ "eval_runtime": 27.079,
80
+ "eval_samples_per_second": 25.998,
81
+ "eval_steps_per_second": 0.406,
82
+ "step": 78
83
+ },
84
+ {
85
+ "epoch": 2.985645933014354,
86
+ "step": 78,
87
+ "total_flos": 130443525488640.0,
88
+ "train_loss": 0.5125297094002749,
89
+ "train_runtime": 4852.6983,
90
+ "train_samples_per_second": 8.26,
91
+ "train_steps_per_second": 0.016
92
+ }
93
+ ],
94
+ "logging_steps": 10,
95
+ "max_steps": 78,
96
+ "num_input_tokens_seen": 0,
97
+ "num_train_epochs": 3,
98
+ "save_steps": 500,
99
+ "stateful_callbacks": {
100
+ "TrainerControl": {
101
+ "args": {
102
+ "should_epoch_stop": false,
103
+ "should_evaluate": false,
104
+ "should_log": false,
105
+ "should_save": true,
106
+ "should_training_stop": true
107
+ },
108
+ "attributes": {}
109
+ }
110
+ },
111
+ "total_flos": 130443525488640.0,
112
+ "train_batch_size": 8,
113
+ "trial_name": null,
114
+ "trial_params": null
115
+ }
training_eval_loss.png ADDED
training_loss.png ADDED