EtashGuha commited on
Commit
5d028d0
·
verified ·
1 Parent(s): 683b4b6

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_scicomp
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # llama3-1_8b_mlfoundations-dev-stackexchange_scicomp
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: 0.8662
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_scicomp
 
16
 
17
  # llama3-1_8b_mlfoundations-dev-stackexchange_scicomp
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_scicomp dataset.
20
  It achieves the following results on the evaluation set:
21
  - Loss: 0.8662
22
 
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.953846153846154,
3
+ "eval_loss": 0.8662426471710205,
4
+ "eval_runtime": 76.6805,
5
+ "eval_samples_per_second": 8.568,
6
+ "eval_steps_per_second": 0.274,
7
+ "total_flos": 120497991843840.0,
8
+ "train_loss": 0.8805405447880427,
9
+ "train_runtime": 11751.6604,
10
+ "train_samples_per_second": 3.185,
11
+ "train_steps_per_second": 0.006
12
+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.953846153846154,
3
+ "eval_loss": 0.8662426471710205,
4
+ "eval_runtime": 76.6805,
5
+ "eval_samples_per_second": 8.568,
6
+ "eval_steps_per_second": 0.274
7
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.953846153846154,
3
+ "total_flos": 120497991843840.0,
4
+ "train_loss": 0.8805405447880427,
5
+ "train_runtime": 11751.6604,
6
+ "train_samples_per_second": 3.185,
7
+ "train_steps_per_second": 0.006
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,115 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.953846153846154,
5
+ "eval_steps": 500,
6
+ "global_step": 72,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.41025641025641024,
13
+ "grad_norm": 1.7405303198094355,
14
+ "learning_rate": 5e-06,
15
+ "loss": 1.0638,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.8205128205128205,
20
+ "grad_norm": 1.0374735844199803,
21
+ "learning_rate": 5e-06,
22
+ "loss": 0.9425,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.9846153846153847,
27
+ "eval_loss": 0.915921151638031,
28
+ "eval_runtime": 76.9595,
29
+ "eval_samples_per_second": 8.537,
30
+ "eval_steps_per_second": 0.273,
31
+ "step": 24
32
+ },
33
+ {
34
+ "epoch": 1.2307692307692308,
35
+ "grad_norm": 2.1037944027880453,
36
+ "learning_rate": 5e-06,
37
+ "loss": 0.8961,
38
+ "step": 30
39
+ },
40
+ {
41
+ "epoch": 1.641025641025641,
42
+ "grad_norm": 1.0102534268182652,
43
+ "learning_rate": 5e-06,
44
+ "loss": 0.8596,
45
+ "step": 40
46
+ },
47
+ {
48
+ "epoch": 1.9692307692307693,
49
+ "eval_loss": 0.8778233528137207,
50
+ "eval_runtime": 76.3388,
51
+ "eval_samples_per_second": 8.606,
52
+ "eval_steps_per_second": 0.275,
53
+ "step": 48
54
+ },
55
+ {
56
+ "epoch": 2.051282051282051,
57
+ "grad_norm": 1.3638440690247002,
58
+ "learning_rate": 5e-06,
59
+ "loss": 0.8365,
60
+ "step": 50
61
+ },
62
+ {
63
+ "epoch": 2.4615384615384617,
64
+ "grad_norm": 1.0944344666695314,
65
+ "learning_rate": 5e-06,
66
+ "loss": 0.7984,
67
+ "step": 60
68
+ },
69
+ {
70
+ "epoch": 2.871794871794872,
71
+ "grad_norm": 0.7516976026024018,
72
+ "learning_rate": 5e-06,
73
+ "loss": 0.7847,
74
+ "step": 70
75
+ },
76
+ {
77
+ "epoch": 2.953846153846154,
78
+ "eval_loss": 0.8662426471710205,
79
+ "eval_runtime": 76.2223,
80
+ "eval_samples_per_second": 8.62,
81
+ "eval_steps_per_second": 0.276,
82
+ "step": 72
83
+ },
84
+ {
85
+ "epoch": 2.953846153846154,
86
+ "step": 72,
87
+ "total_flos": 120497991843840.0,
88
+ "train_loss": 0.8805405447880427,
89
+ "train_runtime": 11751.6604,
90
+ "train_samples_per_second": 3.185,
91
+ "train_steps_per_second": 0.006
92
+ }
93
+ ],
94
+ "logging_steps": 10,
95
+ "max_steps": 72,
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": 120497991843840.0,
112
+ "train_batch_size": 8,
113
+ "trial_name": null,
114
+ "trial_params": null
115
+ }
training_eval_loss.png ADDED
training_loss.png ADDED