sedrickkeh commited on
Commit
6931cc9
·
verified ·
1 Parent(s): 7c5a098

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: stackexchange_graphicdesign
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # stackexchange_graphicdesign
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: 0.8606
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: stackexchange_graphicdesign
 
16
 
17
  # stackexchange_graphicdesign
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_graphicdesign dataset.
20
  It achieves the following results on the evaluation set:
21
  - Loss: 0.8606
22
 
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_loss": 0.860611081123352,
4
+ "eval_runtime": 20.3652,
5
+ "eval_samples_per_second": 38.399,
6
+ "eval_steps_per_second": 0.638,
7
+ "total_flos": 145518860697600.0,
8
+ "train_loss": 0.9317608592153965,
9
+ "train_runtime": 3194.413,
10
+ "train_samples_per_second": 13.94,
11
+ "train_steps_per_second": 0.027
12
+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_loss": 0.860611081123352,
4
+ "eval_runtime": 20.3652,
5
+ "eval_samples_per_second": 38.399,
6
+ "eval_steps_per_second": 0.638
7
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "total_flos": 145518860697600.0,
4
+ "train_loss": 0.9317608592153965,
5
+ "train_runtime": 3194.413,
6
+ "train_samples_per_second": 13.94,
7
+ "train_steps_per_second": 0.027
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,122 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 3.0,
5
+ "eval_steps": 500,
6
+ "global_step": 87,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.3448275862068966,
13
+ "grad_norm": 26.318459725486353,
14
+ "learning_rate": 5e-06,
15
+ "loss": 1.1321,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.6896551724137931,
20
+ "grad_norm": 4.606141465604429,
21
+ "learning_rate": 5e-06,
22
+ "loss": 1.0305,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 1.0,
27
+ "eval_loss": 0.966795027256012,
28
+ "eval_runtime": 22.0564,
29
+ "eval_samples_per_second": 35.454,
30
+ "eval_steps_per_second": 0.589,
31
+ "step": 29
32
+ },
33
+ {
34
+ "epoch": 1.0344827586206897,
35
+ "grad_norm": 3.982194680899152,
36
+ "learning_rate": 5e-06,
37
+ "loss": 0.992,
38
+ "step": 30
39
+ },
40
+ {
41
+ "epoch": 1.3793103448275863,
42
+ "grad_norm": 1.544390231168174,
43
+ "learning_rate": 5e-06,
44
+ "loss": 0.9331,
45
+ "step": 40
46
+ },
47
+ {
48
+ "epoch": 1.7241379310344827,
49
+ "grad_norm": 2.71003049663633,
50
+ "learning_rate": 5e-06,
51
+ "loss": 0.9029,
52
+ "step": 50
53
+ },
54
+ {
55
+ "epoch": 2.0,
56
+ "eval_loss": 0.8883161544799805,
57
+ "eval_runtime": 21.2114,
58
+ "eval_samples_per_second": 36.867,
59
+ "eval_steps_per_second": 0.613,
60
+ "step": 58
61
+ },
62
+ {
63
+ "epoch": 2.0689655172413794,
64
+ "grad_norm": 1.4349517314666953,
65
+ "learning_rate": 5e-06,
66
+ "loss": 0.879,
67
+ "step": 60
68
+ },
69
+ {
70
+ "epoch": 2.413793103448276,
71
+ "grad_norm": 1.3190035539077891,
72
+ "learning_rate": 5e-06,
73
+ "loss": 0.8358,
74
+ "step": 70
75
+ },
76
+ {
77
+ "epoch": 2.7586206896551726,
78
+ "grad_norm": 1.2288764806105619,
79
+ "learning_rate": 5e-06,
80
+ "loss": 0.826,
81
+ "step": 80
82
+ },
83
+ {
84
+ "epoch": 3.0,
85
+ "eval_loss": 0.860611081123352,
86
+ "eval_runtime": 19.6144,
87
+ "eval_samples_per_second": 39.869,
88
+ "eval_steps_per_second": 0.663,
89
+ "step": 87
90
+ },
91
+ {
92
+ "epoch": 3.0,
93
+ "step": 87,
94
+ "total_flos": 145518860697600.0,
95
+ "train_loss": 0.9317608592153965,
96
+ "train_runtime": 3194.413,
97
+ "train_samples_per_second": 13.94,
98
+ "train_steps_per_second": 0.027
99
+ }
100
+ ],
101
+ "logging_steps": 10,
102
+ "max_steps": 87,
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": 145518860697600.0,
119
+ "train_batch_size": 8,
120
+ "trial_name": null,
121
+ "trial_params": null
122
+ }
training_eval_loss.png ADDED
training_loss.png ADDED