esfrankel17 commited on
Commit
b0112b8
·
verified ·
1 Parent(s): 5c85734

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_v3-1_only_evol_instruct_70k
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # oh_v3-1_only_evol_instruct_70k
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: 0.7941
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_v3-1_only_evol_instruct_70k
 
16
 
17
  # oh_v3-1_only_evol_instruct_70k
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_v3-1_only_evol_instruct_70k dataset.
20
  It achieves the following results on the evaluation set:
21
  - Loss: 0.7941
22
 
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.9254901960784316,
3
+ "eval_loss": 0.7940625548362732,
4
+ "eval_runtime": 22.979,
5
+ "eval_samples_per_second": 37.338,
6
+ "eval_steps_per_second": 0.609,
7
+ "total_flos": 155569084170240.0,
8
+ "train_loss": 0.7858432877448297,
9
+ "train_runtime": 3252.6741,
10
+ "train_samples_per_second": 15.036,
11
+ "train_steps_per_second": 0.029
12
+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.9254901960784316,
3
+ "eval_loss": 0.7940625548362732,
4
+ "eval_runtime": 22.979,
5
+ "eval_samples_per_second": 37.338,
6
+ "eval_steps_per_second": 0.609
7
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.9254901960784316,
3
+ "total_flos": 155569084170240.0,
4
+ "train_loss": 0.7858432877448297,
5
+ "train_runtime": 3252.6741,
6
+ "train_samples_per_second": 15.036,
7
+ "train_steps_per_second": 0.029
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,129 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.9254901960784316,
5
+ "eval_steps": 500,
6
+ "global_step": 93,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.3137254901960784,
13
+ "grad_norm": 2.336262901028998,
14
+ "learning_rate": 5e-06,
15
+ "loss": 0.9512,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.6274509803921569,
20
+ "grad_norm": 3.633942953576143,
21
+ "learning_rate": 5e-06,
22
+ "loss": 0.8626,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.9411764705882353,
27
+ "grad_norm": 0.8555264735455949,
28
+ "learning_rate": 5e-06,
29
+ "loss": 0.8287,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.9725490196078431,
34
+ "eval_loss": 0.8302477598190308,
35
+ "eval_runtime": 23.209,
36
+ "eval_samples_per_second": 36.968,
37
+ "eval_steps_per_second": 0.603,
38
+ "step": 31
39
+ },
40
+ {
41
+ "epoch": 1.2588235294117647,
42
+ "grad_norm": 2.2142492192485475,
43
+ "learning_rate": 5e-06,
44
+ "loss": 0.8027,
45
+ "step": 40
46
+ },
47
+ {
48
+ "epoch": 1.572549019607843,
49
+ "grad_norm": 0.7293421113890972,
50
+ "learning_rate": 5e-06,
51
+ "loss": 0.7677,
52
+ "step": 50
53
+ },
54
+ {
55
+ "epoch": 1.8862745098039215,
56
+ "grad_norm": 0.7379602742245062,
57
+ "learning_rate": 5e-06,
58
+ "loss": 0.7548,
59
+ "step": 60
60
+ },
61
+ {
62
+ "epoch": 1.9803921568627452,
63
+ "eval_loss": 0.7995137572288513,
64
+ "eval_runtime": 25.1383,
65
+ "eval_samples_per_second": 34.131,
66
+ "eval_steps_per_second": 0.557,
67
+ "step": 63
68
+ },
69
+ {
70
+ "epoch": 2.203921568627451,
71
+ "grad_norm": 0.8847804655288495,
72
+ "learning_rate": 5e-06,
73
+ "loss": 0.7385,
74
+ "step": 70
75
+ },
76
+ {
77
+ "epoch": 2.5176470588235293,
78
+ "grad_norm": 1.3342767524535535,
79
+ "learning_rate": 5e-06,
80
+ "loss": 0.6998,
81
+ "step": 80
82
+ },
83
+ {
84
+ "epoch": 2.831372549019608,
85
+ "grad_norm": 0.88474229556434,
86
+ "learning_rate": 5e-06,
87
+ "loss": 0.6929,
88
+ "step": 90
89
+ },
90
+ {
91
+ "epoch": 2.9254901960784316,
92
+ "eval_loss": 0.7940625548362732,
93
+ "eval_runtime": 21.2423,
94
+ "eval_samples_per_second": 40.391,
95
+ "eval_steps_per_second": 0.659,
96
+ "step": 93
97
+ },
98
+ {
99
+ "epoch": 2.9254901960784316,
100
+ "step": 93,
101
+ "total_flos": 155569084170240.0,
102
+ "train_loss": 0.7858432877448297,
103
+ "train_runtime": 3252.6741,
104
+ "train_samples_per_second": 15.036,
105
+ "train_steps_per_second": 0.029
106
+ }
107
+ ],
108
+ "logging_steps": 10,
109
+ "max_steps": 93,
110
+ "num_input_tokens_seen": 0,
111
+ "num_train_epochs": 3,
112
+ "save_steps": 500,
113
+ "stateful_callbacks": {
114
+ "TrainerControl": {
115
+ "args": {
116
+ "should_epoch_stop": false,
117
+ "should_evaluate": false,
118
+ "should_log": false,
119
+ "should_save": true,
120
+ "should_training_stop": true
121
+ },
122
+ "attributes": {}
123
+ }
124
+ },
125
+ "total_flos": 155569084170240.0,
126
+ "train_batch_size": 8,
127
+ "trial_name": null,
128
+ "trial_params": null
129
+ }
training_eval_loss.png ADDED
training_loss.png ADDED