EtashGuha commited on
Commit
35cb7f5
·
verified ·
1 Parent(s): b32afef

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: llama3-1_8b_mlfoundations-dev-stackexchange_puzzling
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # llama3-1_8b_mlfoundations-dev-stackexchange_puzzling
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: 0.9340
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: llama3-1_8b_mlfoundations-dev-stackexchange_puzzling
 
16
 
17
  # llama3-1_8b_mlfoundations-dev-stackexchange_puzzling
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/stackexchange_puzzling dataset.
20
  It achieves the following results on the evaluation set:
21
  - Loss: 0.9340
22
 
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.9724770642201834,
3
+ "eval_loss": 0.9339568018913269,
4
+ "eval_runtime": 84.5286,
5
+ "eval_samples_per_second": 8.683,
6
+ "eval_steps_per_second": 0.272,
7
+ "total_flos": 135573327052800.0,
8
+ "train_loss": 0.9809838378870929,
9
+ "train_runtime": 13278.7272,
10
+ "train_samples_per_second": 3.15,
11
+ "train_steps_per_second": 0.006
12
+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.9724770642201834,
3
+ "eval_loss": 0.9339568018913269,
4
+ "eval_runtime": 84.5286,
5
+ "eval_samples_per_second": 8.683,
6
+ "eval_steps_per_second": 0.272
7
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.9724770642201834,
3
+ "total_flos": 135573327052800.0,
4
+ "train_loss": 0.9809838378870929,
5
+ "train_runtime": 13278.7272,
6
+ "train_samples_per_second": 3.15,
7
+ "train_steps_per_second": 0.006
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,122 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.9724770642201834,
5
+ "eval_steps": 500,
6
+ "global_step": 81,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.3669724770642202,
13
+ "grad_norm": 15.223515124052987,
14
+ "learning_rate": 5e-06,
15
+ "loss": 1.1932,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.7339449541284404,
20
+ "grad_norm": 2.19506481158568,
21
+ "learning_rate": 5e-06,
22
+ "loss": 1.0612,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.9908256880733946,
27
+ "eval_loss": 1.006506085395813,
28
+ "eval_runtime": 85.0324,
29
+ "eval_samples_per_second": 8.632,
30
+ "eval_steps_per_second": 0.27,
31
+ "step": 27
32
+ },
33
+ {
34
+ "epoch": 1.1009174311926606,
35
+ "grad_norm": 4.12557913604333,
36
+ "learning_rate": 5e-06,
37
+ "loss": 1.0044,
38
+ "step": 30
39
+ },
40
+ {
41
+ "epoch": 1.4678899082568808,
42
+ "grad_norm": 2.873184668037523,
43
+ "learning_rate": 5e-06,
44
+ "loss": 0.9667,
45
+ "step": 40
46
+ },
47
+ {
48
+ "epoch": 1.834862385321101,
49
+ "grad_norm": 2.185324880239001,
50
+ "learning_rate": 5e-06,
51
+ "loss": 0.9481,
52
+ "step": 50
53
+ },
54
+ {
55
+ "epoch": 1.981651376146789,
56
+ "eval_loss": 0.9613564610481262,
57
+ "eval_runtime": 84.6961,
58
+ "eval_samples_per_second": 8.666,
59
+ "eval_steps_per_second": 0.272,
60
+ "step": 54
61
+ },
62
+ {
63
+ "epoch": 2.2018348623853212,
64
+ "grad_norm": 1.6556333126334992,
65
+ "learning_rate": 5e-06,
66
+ "loss": 0.9173,
67
+ "step": 60
68
+ },
69
+ {
70
+ "epoch": 2.5688073394495414,
71
+ "grad_norm": 1.040600621325176,
72
+ "learning_rate": 5e-06,
73
+ "loss": 0.8827,
74
+ "step": 70
75
+ },
76
+ {
77
+ "epoch": 2.9357798165137616,
78
+ "grad_norm": 1.0042947441731673,
79
+ "learning_rate": 5e-06,
80
+ "loss": 0.8819,
81
+ "step": 80
82
+ },
83
+ {
84
+ "epoch": 2.9724770642201834,
85
+ "eval_loss": 0.9339568018913269,
86
+ "eval_runtime": 84.5066,
87
+ "eval_samples_per_second": 8.686,
88
+ "eval_steps_per_second": 0.272,
89
+ "step": 81
90
+ },
91
+ {
92
+ "epoch": 2.9724770642201834,
93
+ "step": 81,
94
+ "total_flos": 135573327052800.0,
95
+ "train_loss": 0.9809838378870929,
96
+ "train_runtime": 13278.7272,
97
+ "train_samples_per_second": 3.15,
98
+ "train_steps_per_second": 0.006
99
+ }
100
+ ],
101
+ "logging_steps": 10,
102
+ "max_steps": 81,
103
+ "num_input_tokens_seen": 0,
104
+ "num_train_epochs": 3,
105
+ "save_steps": 500,
106
+ "stateful_callbacks": {
107
+ "TrainerControl": {
108
+ "args": {
109
+ "should_epoch_stop": false,
110
+ "should_evaluate": false,
111
+ "should_log": false,
112
+ "should_save": true,
113
+ "should_training_stop": true
114
+ },
115
+ "attributes": {}
116
+ }
117
+ },
118
+ "total_flos": 135573327052800.0,
119
+ "train_batch_size": 8,
120
+ "trial_name": null,
121
+ "trial_params": null
122
+ }
training_eval_loss.png ADDED
training_loss.png ADDED