End of training
Browse files- README.md +2 -1
- all_results.json +12 -0
- eval_results.json +7 -0
- train_results.json +8 -0
- trainer_state.json +129 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
CHANGED
@@ -4,6 +4,7 @@ license: llama3.1
|
|
4 |
base_model: meta-llama/Llama-3.1-8B-Instruct
|
5 |
tags:
|
6 |
- llama-factory
|
|
|
7 |
- generated_from_trainer
|
8 |
model-index:
|
9 |
- name: sky-t1-original-llama-instruct
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
# sky-t1-original-llama-instruct
|
17 |
|
18 |
-
This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on
|
19 |
It achieves the following results on the evaluation set:
|
20 |
- Loss: 0.4424
|
21 |
|
|
|
4 |
base_model: meta-llama/Llama-3.1-8B-Instruct
|
5 |
tags:
|
6 |
- llama-factory
|
7 |
+
- full
|
8 |
- generated_from_trainer
|
9 |
model-index:
|
10 |
- name: sky-t1-original-llama-instruct
|
|
|
16 |
|
17 |
# sky-t1-original-llama-instruct
|
18 |
|
19 |
+
This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on the mlfoundations-dev/sky_t1_original dataset.
|
20 |
It achieves the following results on the evaluation set:
|
21 |
- Loss: 0.4424
|
22 |
|
all_results.json
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"eval_loss": 0.4424304664134979,
|
4 |
+
"eval_runtime": 11.6183,
|
5 |
+
"eval_samples_per_second": 69.545,
|
6 |
+
"eval_steps_per_second": 1.119,
|
7 |
+
"total_flos": 150543972433920.0,
|
8 |
+
"train_loss": 0.4572353945838081,
|
9 |
+
"train_runtime": 2587.8961,
|
10 |
+
"train_samples_per_second": 17.787,
|
11 |
+
"train_steps_per_second": 0.035
|
12 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"eval_loss": 0.4424304664134979,
|
4 |
+
"eval_runtime": 11.6183,
|
5 |
+
"eval_samples_per_second": 69.545,
|
6 |
+
"eval_steps_per_second": 1.119
|
7 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"total_flos": 150543972433920.0,
|
4 |
+
"train_loss": 0.4572353945838081,
|
5 |
+
"train_runtime": 2587.8961,
|
6 |
+
"train_samples_per_second": 17.787,
|
7 |
+
"train_steps_per_second": 0.035
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,129 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 3.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 90,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.3333333333333333,
|
13 |
+
"grad_norm": 1.1328805578866286,
|
14 |
+
"learning_rate": 5e-06,
|
15 |
+
"loss": 0.6261,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.6666666666666666,
|
20 |
+
"grad_norm": 0.5655437748332994,
|
21 |
+
"learning_rate": 5e-06,
|
22 |
+
"loss": 0.5229,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 1.0,
|
27 |
+
"grad_norm": 0.4255185947425879,
|
28 |
+
"learning_rate": 5e-06,
|
29 |
+
"loss": 0.4914,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 1.0,
|
34 |
+
"eval_loss": 0.48239657282829285,
|
35 |
+
"eval_runtime": 11.6513,
|
36 |
+
"eval_samples_per_second": 69.349,
|
37 |
+
"eval_steps_per_second": 1.116,
|
38 |
+
"step": 30
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 1.3333333333333333,
|
42 |
+
"grad_norm": 0.4517651743600907,
|
43 |
+
"learning_rate": 5e-06,
|
44 |
+
"loss": 0.4487,
|
45 |
+
"step": 40
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 1.6666666666666665,
|
49 |
+
"grad_norm": 0.3649131361498104,
|
50 |
+
"learning_rate": 5e-06,
|
51 |
+
"loss": 0.438,
|
52 |
+
"step": 50
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 2.0,
|
56 |
+
"grad_norm": 0.3830225718161711,
|
57 |
+
"learning_rate": 5e-06,
|
58 |
+
"loss": 0.4301,
|
59 |
+
"step": 60
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 2.0,
|
63 |
+
"eval_loss": 0.45320141315460205,
|
64 |
+
"eval_runtime": 11.8663,
|
65 |
+
"eval_samples_per_second": 68.092,
|
66 |
+
"eval_steps_per_second": 1.096,
|
67 |
+
"step": 60
|
68 |
+
},
|
69 |
+
{
|
70 |
+
"epoch": 2.3333333333333335,
|
71 |
+
"grad_norm": 0.47711530562220955,
|
72 |
+
"learning_rate": 5e-06,
|
73 |
+
"loss": 0.3922,
|
74 |
+
"step": 70
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 2.6666666666666665,
|
78 |
+
"grad_norm": 0.47041140445746077,
|
79 |
+
"learning_rate": 5e-06,
|
80 |
+
"loss": 0.3841,
|
81 |
+
"step": 80
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 3.0,
|
85 |
+
"grad_norm": 0.43944682743936286,
|
86 |
+
"learning_rate": 5e-06,
|
87 |
+
"loss": 0.3817,
|
88 |
+
"step": 90
|
89 |
+
},
|
90 |
+
{
|
91 |
+
"epoch": 3.0,
|
92 |
+
"eval_loss": 0.4424304664134979,
|
93 |
+
"eval_runtime": 11.6409,
|
94 |
+
"eval_samples_per_second": 69.41,
|
95 |
+
"eval_steps_per_second": 1.117,
|
96 |
+
"step": 90
|
97 |
+
},
|
98 |
+
{
|
99 |
+
"epoch": 3.0,
|
100 |
+
"step": 90,
|
101 |
+
"total_flos": 150543972433920.0,
|
102 |
+
"train_loss": 0.4572353945838081,
|
103 |
+
"train_runtime": 2587.8961,
|
104 |
+
"train_samples_per_second": 17.787,
|
105 |
+
"train_steps_per_second": 0.035
|
106 |
+
}
|
107 |
+
],
|
108 |
+
"logging_steps": 10,
|
109 |
+
"max_steps": 90,
|
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": 150543972433920.0,
|
126 |
+
"train_batch_size": 8,
|
127 |
+
"trial_name": null,
|
128 |
+
"trial_params": null
|
129 |
+
}
|
training_eval_loss.png
ADDED
![]() |
training_loss.png
ADDED
![]() |