Model save
Browse files- README.md +1 -2
- all_results.json +10 -10
- config.json +1 -1
- eval_results.json +5 -5
- model-00001-of-00002.safetensors +1 -1
- model-00002-of-00002.safetensors +1 -1
- tokenizer.json +2 -2
- train_results.json +6 -6
- trainer_state.json +547 -65
- training_args.bin +1 -1
README.md
CHANGED
@@ -4,7 +4,6 @@ library_name: transformers
|
|
4 |
model_name: llama_check_tuned
|
5 |
tags:
|
6 |
- generated_from_trainer
|
7 |
-
- alignment-handbook
|
8 |
- trl
|
9 |
- sft
|
10 |
licence: license
|
@@ -28,7 +27,7 @@ print(output["generated_text"])
|
|
28 |
|
29 |
## Training procedure
|
30 |
|
31 |
-
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/vedaantj/ft-llm/runs/
|
32 |
|
33 |
This model was trained with SFT.
|
34 |
|
|
|
4 |
model_name: llama_check_tuned
|
5 |
tags:
|
6 |
- generated_from_trainer
|
|
|
7 |
- trl
|
8 |
- sft
|
9 |
licence: license
|
|
|
27 |
|
28 |
## Training procedure
|
29 |
|
30 |
+
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/vedaantj/ft-llm/runs/pq3g1op3)
|
31 |
|
32 |
This model was trained with SFT.
|
33 |
|
all_results.json
CHANGED
@@ -1,14 +1,14 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_loss":
|
4 |
-
"eval_runtime": 0.
|
5 |
"eval_samples": 10,
|
6 |
-
"eval_samples_per_second": 58.
|
7 |
-
"eval_steps_per_second": 11.
|
8 |
-
"total_flos":
|
9 |
-
"train_loss":
|
10 |
-
"train_runtime":
|
11 |
"train_samples": 10,
|
12 |
-
"train_samples_per_second":
|
13 |
-
"train_steps_per_second": 1.
|
14 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 40.0,
|
3 |
+
"eval_loss": 0.0030517119448632,
|
4 |
+
"eval_runtime": 0.1724,
|
5 |
"eval_samples": 10,
|
6 |
+
"eval_samples_per_second": 58.01,
|
7 |
+
"eval_steps_per_second": 11.602,
|
8 |
+
"total_flos": 3352730995261440.0,
|
9 |
+
"train_loss": 0.9132046818675008,
|
10 |
+
"train_runtime": 21.9272,
|
11 |
"train_samples": 10,
|
12 |
+
"train_samples_per_second": 18.242,
|
13 |
+
"train_steps_per_second": 1.824
|
14 |
}
|
config.json
CHANGED
@@ -36,6 +36,6 @@
|
|
36 |
"tie_word_embeddings": true,
|
37 |
"torch_dtype": "bfloat16",
|
38 |
"transformers_version": "4.46.3",
|
39 |
-
"use_cache":
|
40 |
"vocab_size": 128256
|
41 |
}
|
|
|
36 |
"tie_word_embeddings": true,
|
37 |
"torch_dtype": "bfloat16",
|
38 |
"transformers_version": "4.46.3",
|
39 |
+
"use_cache": false,
|
40 |
"vocab_size": 128256
|
41 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_loss":
|
4 |
-
"eval_runtime": 0.
|
5 |
"eval_samples": 10,
|
6 |
-
"eval_samples_per_second": 58.
|
7 |
-
"eval_steps_per_second": 11.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 40.0,
|
3 |
+
"eval_loss": 0.0030517119448632,
|
4 |
+
"eval_runtime": 0.1724,
|
5 |
"eval_samples": 10,
|
6 |
+
"eval_samples_per_second": 58.01,
|
7 |
+
"eval_steps_per_second": 11.602
|
8 |
}
|
model-00001-of-00002.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4965799096
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:afb8bc60035e6f5c6b9aa9bc817024448f290884b8767593e9aecb1baf5f61bb
|
3 |
size 4965799096
|
model-00002-of-00002.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 2247734992
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:364d194401bb4084b3ee664086eefd10bb5df26de57475f6344b62780ee2e7d9
|
3 |
size 2247734992
|
tokenizer.json
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6fca926fdfedcb8fd225765fb3911e0ab5de0390ec7242a46dff829e8604f723
|
3 |
+
size 17210020
|
train_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"total_flos":
|
4 |
-
"train_loss":
|
5 |
-
"train_runtime":
|
6 |
"train_samples": 10,
|
7 |
-
"train_samples_per_second":
|
8 |
-
"train_steps_per_second": 1.
|
9 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 40.0,
|
3 |
+
"total_flos": 3352730995261440.0,
|
4 |
+
"train_loss": 0.9132046818675008,
|
5 |
+
"train_runtime": 21.9272,
|
6 |
"train_samples": 10,
|
7 |
+
"train_samples_per_second": 18.242,
|
8 |
+
"train_steps_per_second": 1.824
|
9 |
}
|
trainer_state.json
CHANGED
@@ -1,144 +1,626 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch":
|
5 |
"eval_steps": 500,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 1.0,
|
13 |
-
"learning_rate":
|
14 |
-
"loss": 1.
|
15 |
"step": 1
|
16 |
},
|
17 |
{
|
18 |
"epoch": 1.0,
|
19 |
-
"eval_loss": 1.
|
20 |
-
"eval_runtime": 0.
|
21 |
-
"eval_samples_per_second":
|
22 |
-
"eval_steps_per_second":
|
23 |
"step": 1
|
24 |
},
|
25 |
{
|
26 |
"epoch": 2.0,
|
27 |
-
"
|
28 |
-
"
|
|
|
29 |
"step": 2
|
30 |
},
|
31 |
{
|
32 |
"epoch": 2.0,
|
33 |
-
"eval_loss":
|
34 |
-
"eval_runtime": 0.
|
35 |
-
"eval_samples_per_second":
|
36 |
-
"eval_steps_per_second":
|
37 |
"step": 2
|
38 |
},
|
39 |
{
|
40 |
"epoch": 3.0,
|
41 |
-
"
|
42 |
-
"
|
|
|
43 |
"step": 3
|
44 |
},
|
45 |
{
|
46 |
"epoch": 3.0,
|
47 |
-
"eval_loss":
|
48 |
-
"eval_runtime": 0.
|
49 |
-
"eval_samples_per_second":
|
50 |
-
"eval_steps_per_second":
|
51 |
"step": 3
|
52 |
},
|
53 |
{
|
54 |
"epoch": 4.0,
|
55 |
-
"grad_norm":
|
56 |
-
"learning_rate":
|
57 |
-
"loss":
|
58 |
"step": 4
|
59 |
},
|
60 |
{
|
61 |
"epoch": 4.0,
|
62 |
-
"eval_loss":
|
63 |
-
"eval_runtime": 0.
|
64 |
-
"eval_samples_per_second":
|
65 |
-
"eval_steps_per_second":
|
66 |
"step": 4
|
67 |
},
|
68 |
{
|
69 |
"epoch": 5.0,
|
70 |
-
"grad_norm":
|
71 |
-
"learning_rate":
|
72 |
-
"loss":
|
73 |
"step": 5
|
74 |
},
|
75 |
{
|
76 |
"epoch": 5.0,
|
77 |
-
"eval_loss":
|
78 |
-
"eval_runtime": 0.
|
79 |
-
"eval_samples_per_second":
|
80 |
-
"eval_steps_per_second":
|
81 |
"step": 5
|
82 |
},
|
83 |
{
|
84 |
"epoch": 6.0,
|
85 |
-
"grad_norm":
|
86 |
-
"learning_rate":
|
87 |
-
"loss":
|
88 |
"step": 6
|
89 |
},
|
90 |
{
|
91 |
"epoch": 6.0,
|
92 |
-
"eval_loss": 1.
|
93 |
-
"eval_runtime": 0.
|
94 |
-
"eval_samples_per_second":
|
95 |
-
"eval_steps_per_second":
|
96 |
"step": 6
|
97 |
},
|
98 |
{
|
99 |
"epoch": 7.0,
|
100 |
-
"grad_norm":
|
101 |
-
"learning_rate":
|
102 |
-
"loss": 1.
|
103 |
"step": 7
|
104 |
},
|
105 |
{
|
106 |
"epoch": 7.0,
|
107 |
-
"eval_loss": 1.
|
108 |
-
"eval_runtime": 0.
|
109 |
-
"eval_samples_per_second":
|
110 |
-
"eval_steps_per_second":
|
111 |
"step": 7
|
112 |
},
|
113 |
{
|
114 |
"epoch": 8.0,
|
115 |
-
"grad_norm":
|
116 |
-
"learning_rate": 0.
|
117 |
-
"loss": 1.
|
118 |
"step": 8
|
119 |
},
|
120 |
{
|
121 |
"epoch": 8.0,
|
122 |
-
"eval_loss":
|
123 |
-
"eval_runtime": 0.
|
124 |
-
"eval_samples_per_second":
|
125 |
-
"eval_steps_per_second":
|
126 |
"step": 8
|
127 |
},
|
128 |
{
|
129 |
-
"epoch":
|
130 |
-
"
|
131 |
-
"
|
132 |
-
"
|
133 |
-
"
|
134 |
-
|
135 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
136 |
}
|
137 |
],
|
138 |
"logging_steps": 1,
|
139 |
-
"max_steps":
|
140 |
"num_input_tokens_seen": 0,
|
141 |
-
"num_train_epochs":
|
142 |
"save_steps": 500,
|
143 |
"stateful_callbacks": {
|
144 |
"TrainerControl": {
|
@@ -152,7 +634,7 @@
|
|
152 |
"attributes": {}
|
153 |
}
|
154 |
},
|
155 |
-
"total_flos":
|
156 |
"train_batch_size": 4,
|
157 |
"trial_name": null,
|
158 |
"trial_params": null
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 40.0,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 40,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
"epoch": 1.0,
|
13 |
+
"learning_rate": 2.5e-05,
|
14 |
+
"loss": 1.1193,
|
15 |
"step": 1
|
16 |
},
|
17 |
{
|
18 |
"epoch": 1.0,
|
19 |
+
"eval_loss": 1.1183021068572998,
|
20 |
+
"eval_runtime": 0.097,
|
21 |
+
"eval_samples_per_second": 103.081,
|
22 |
+
"eval_steps_per_second": 20.616,
|
23 |
"step": 1
|
24 |
},
|
25 |
{
|
26 |
"epoch": 2.0,
|
27 |
+
"grad_norm": 19.4419002532959,
|
28 |
+
"learning_rate": 5e-05,
|
29 |
+
"loss": 1.1193,
|
30 |
"step": 2
|
31 |
},
|
32 |
{
|
33 |
"epoch": 2.0,
|
34 |
+
"eval_loss": 0.4163738191127777,
|
35 |
+
"eval_runtime": 0.0967,
|
36 |
+
"eval_samples_per_second": 103.452,
|
37 |
+
"eval_steps_per_second": 20.69,
|
38 |
"step": 2
|
39 |
},
|
40 |
{
|
41 |
"epoch": 3.0,
|
42 |
+
"grad_norm": 19.4419002532959,
|
43 |
+
"learning_rate": 7.500000000000001e-05,
|
44 |
+
"loss": 0.4152,
|
45 |
"step": 3
|
46 |
},
|
47 |
{
|
48 |
"epoch": 3.0,
|
49 |
+
"eval_loss": 0.4163738191127777,
|
50 |
+
"eval_runtime": 0.0975,
|
51 |
+
"eval_samples_per_second": 102.538,
|
52 |
+
"eval_steps_per_second": 20.508,
|
53 |
"step": 3
|
54 |
},
|
55 |
{
|
56 |
"epoch": 4.0,
|
57 |
+
"grad_norm": 12.695544242858887,
|
58 |
+
"learning_rate": 0.0001,
|
59 |
+
"loss": 0.4152,
|
60 |
"step": 4
|
61 |
},
|
62 |
{
|
63 |
"epoch": 4.0,
|
64 |
+
"eval_loss": 0.8865498304367065,
|
65 |
+
"eval_runtime": 0.0966,
|
66 |
+
"eval_samples_per_second": 103.475,
|
67 |
+
"eval_steps_per_second": 20.695,
|
68 |
"step": 4
|
69 |
},
|
70 |
{
|
71 |
"epoch": 5.0,
|
72 |
+
"grad_norm": 12.695544242858887,
|
73 |
+
"learning_rate": 0.000125,
|
74 |
+
"loss": 0.8864,
|
75 |
"step": 5
|
76 |
},
|
77 |
{
|
78 |
"epoch": 5.0,
|
79 |
+
"eval_loss": 0.8865498304367065,
|
80 |
+
"eval_runtime": 0.0977,
|
81 |
+
"eval_samples_per_second": 102.389,
|
82 |
+
"eval_steps_per_second": 20.478,
|
83 |
"step": 5
|
84 |
},
|
85 |
{
|
86 |
"epoch": 6.0,
|
87 |
+
"grad_norm": 39.317420959472656,
|
88 |
+
"learning_rate": 0.00015000000000000001,
|
89 |
+
"loss": 0.8864,
|
90 |
"step": 6
|
91 |
},
|
92 |
{
|
93 |
"epoch": 6.0,
|
94 |
+
"eval_loss": 1.6666438579559326,
|
95 |
+
"eval_runtime": 0.0998,
|
96 |
+
"eval_samples_per_second": 100.229,
|
97 |
+
"eval_steps_per_second": 20.046,
|
98 |
"step": 6
|
99 |
},
|
100 |
{
|
101 |
"epoch": 7.0,
|
102 |
+
"grad_norm": 39.317420959472656,
|
103 |
+
"learning_rate": 0.000175,
|
104 |
+
"loss": 1.6618,
|
105 |
"step": 7
|
106 |
},
|
107 |
{
|
108 |
"epoch": 7.0,
|
109 |
+
"eval_loss": 1.6666438579559326,
|
110 |
+
"eval_runtime": 0.0975,
|
111 |
+
"eval_samples_per_second": 102.551,
|
112 |
+
"eval_steps_per_second": 20.51,
|
113 |
"step": 7
|
114 |
},
|
115 |
{
|
116 |
"epoch": 8.0,
|
117 |
+
"grad_norm": 44.225120544433594,
|
118 |
+
"learning_rate": 0.0002,
|
119 |
+
"loss": 1.6618,
|
120 |
"step": 8
|
121 |
},
|
122 |
{
|
123 |
"epoch": 8.0,
|
124 |
+
"eval_loss": 3.048259973526001,
|
125 |
+
"eval_runtime": 0.0983,
|
126 |
+
"eval_samples_per_second": 101.777,
|
127 |
+
"eval_steps_per_second": 20.355,
|
128 |
"step": 8
|
129 |
},
|
130 |
{
|
131 |
+
"epoch": 9.0,
|
132 |
+
"grad_norm": 44.225120544433594,
|
133 |
+
"learning_rate": 0.0001995184726672197,
|
134 |
+
"loss": 3.0505,
|
135 |
+
"step": 9
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 9.0,
|
139 |
+
"eval_loss": 3.048259973526001,
|
140 |
+
"eval_runtime": 0.0993,
|
141 |
+
"eval_samples_per_second": 100.727,
|
142 |
+
"eval_steps_per_second": 20.145,
|
143 |
+
"step": 9
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 10.0,
|
147 |
+
"grad_norm": 143.0501251220703,
|
148 |
+
"learning_rate": 0.00019807852804032305,
|
149 |
+
"loss": 3.0505,
|
150 |
+
"step": 10
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 10.0,
|
154 |
+
"eval_loss": 2.2029616832733154,
|
155 |
+
"eval_runtime": 0.097,
|
156 |
+
"eval_samples_per_second": 103.098,
|
157 |
+
"eval_steps_per_second": 20.62,
|
158 |
+
"step": 10
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 11.0,
|
162 |
+
"grad_norm": 143.0501251220703,
|
163 |
+
"learning_rate": 0.0001956940335732209,
|
164 |
+
"loss": 2.2026,
|
165 |
+
"step": 11
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 11.0,
|
169 |
+
"eval_loss": 2.2029616832733154,
|
170 |
+
"eval_runtime": 0.0976,
|
171 |
+
"eval_samples_per_second": 102.442,
|
172 |
+
"eval_steps_per_second": 20.488,
|
173 |
+
"step": 11
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 12.0,
|
177 |
+
"grad_norm": 27.46721076965332,
|
178 |
+
"learning_rate": 0.0001923879532511287,
|
179 |
+
"loss": 2.2026,
|
180 |
+
"step": 12
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 12.0,
|
184 |
+
"eval_loss": 2.8971307277679443,
|
185 |
+
"eval_runtime": 0.0976,
|
186 |
+
"eval_samples_per_second": 102.486,
|
187 |
+
"eval_steps_per_second": 20.497,
|
188 |
+
"step": 12
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 13.0,
|
192 |
+
"grad_norm": 27.46721076965332,
|
193 |
+
"learning_rate": 0.0001881921264348355,
|
194 |
+
"loss": 2.9002,
|
195 |
+
"step": 13
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 13.0,
|
199 |
+
"eval_loss": 2.8971307277679443,
|
200 |
+
"eval_runtime": 0.0973,
|
201 |
+
"eval_samples_per_second": 102.809,
|
202 |
+
"eval_steps_per_second": 20.562,
|
203 |
+
"step": 13
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 14.0,
|
207 |
+
"grad_norm": 49.42749786376953,
|
208 |
+
"learning_rate": 0.00018314696123025454,
|
209 |
+
"loss": 2.9002,
|
210 |
+
"step": 14
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 14.0,
|
214 |
+
"eval_loss": 3.4301562309265137,
|
215 |
+
"eval_runtime": 0.0984,
|
216 |
+
"eval_samples_per_second": 101.612,
|
217 |
+
"eval_steps_per_second": 20.322,
|
218 |
+
"step": 14
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 15.0,
|
222 |
+
"grad_norm": 49.42749786376953,
|
223 |
+
"learning_rate": 0.0001773010453362737,
|
224 |
+
"loss": 3.4308,
|
225 |
+
"step": 15
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 15.0,
|
229 |
+
"eval_loss": 3.4301562309265137,
|
230 |
+
"eval_runtime": 0.0981,
|
231 |
+
"eval_samples_per_second": 101.972,
|
232 |
+
"eval_steps_per_second": 20.394,
|
233 |
+
"step": 15
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 16.0,
|
237 |
+
"grad_norm": 46.989479064941406,
|
238 |
+
"learning_rate": 0.00017071067811865476,
|
239 |
+
"loss": 3.4308,
|
240 |
+
"step": 16
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 16.0,
|
244 |
+
"eval_loss": 1.4099053144454956,
|
245 |
+
"eval_runtime": 0.0973,
|
246 |
+
"eval_samples_per_second": 102.796,
|
247 |
+
"eval_steps_per_second": 20.559,
|
248 |
+
"step": 16
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 17.0,
|
252 |
+
"grad_norm": 46.989479064941406,
|
253 |
+
"learning_rate": 0.00016343932841636456,
|
254 |
+
"loss": 1.4133,
|
255 |
+
"step": 17
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 17.0,
|
259 |
+
"eval_loss": 1.4099053144454956,
|
260 |
+
"eval_runtime": 0.097,
|
261 |
+
"eval_samples_per_second": 103.061,
|
262 |
+
"eval_steps_per_second": 20.612,
|
263 |
+
"step": 17
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 18.0,
|
267 |
+
"grad_norm": 19.974260330200195,
|
268 |
+
"learning_rate": 0.00015555702330196023,
|
269 |
+
"loss": 1.4133,
|
270 |
+
"step": 18
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"epoch": 18.0,
|
274 |
+
"eval_loss": 0.7468957304954529,
|
275 |
+
"eval_runtime": 0.0986,
|
276 |
+
"eval_samples_per_second": 101.448,
|
277 |
+
"eval_steps_per_second": 20.29,
|
278 |
+
"step": 18
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 19.0,
|
282 |
+
"grad_norm": 19.974260330200195,
|
283 |
+
"learning_rate": 0.0001471396736825998,
|
284 |
+
"loss": 0.746,
|
285 |
+
"step": 19
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 19.0,
|
289 |
+
"eval_loss": 0.7468957304954529,
|
290 |
+
"eval_runtime": 0.0972,
|
291 |
+
"eval_samples_per_second": 102.877,
|
292 |
+
"eval_steps_per_second": 20.575,
|
293 |
+
"step": 19
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 20.0,
|
297 |
+
"grad_norm": 9.610711097717285,
|
298 |
+
"learning_rate": 0.000138268343236509,
|
299 |
+
"loss": 0.746,
|
300 |
+
"step": 20
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 20.0,
|
304 |
+
"eval_loss": 0.16501614451408386,
|
305 |
+
"eval_runtime": 0.1002,
|
306 |
+
"eval_samples_per_second": 99.82,
|
307 |
+
"eval_steps_per_second": 19.964,
|
308 |
+
"step": 20
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 21.0,
|
312 |
+
"grad_norm": 9.610711097717285,
|
313 |
+
"learning_rate": 0.00012902846772544624,
|
314 |
+
"loss": 0.1654,
|
315 |
+
"step": 21
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 21.0,
|
319 |
+
"eval_loss": 0.16501614451408386,
|
320 |
+
"eval_runtime": 0.0976,
|
321 |
+
"eval_samples_per_second": 102.477,
|
322 |
+
"eval_steps_per_second": 20.495,
|
323 |
+
"step": 21
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 22.0,
|
327 |
+
"grad_norm": 3.4515697956085205,
|
328 |
+
"learning_rate": 0.00011950903220161285,
|
329 |
+
"loss": 0.1654,
|
330 |
+
"step": 22
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"epoch": 22.0,
|
334 |
+
"eval_loss": 0.14767812192440033,
|
335 |
+
"eval_runtime": 0.097,
|
336 |
+
"eval_samples_per_second": 103.11,
|
337 |
+
"eval_steps_per_second": 20.622,
|
338 |
+
"step": 22
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 23.0,
|
342 |
+
"grad_norm": 3.4515697956085205,
|
343 |
+
"learning_rate": 0.0001098017140329561,
|
344 |
+
"loss": 0.1474,
|
345 |
+
"step": 23
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 23.0,
|
349 |
+
"eval_loss": 0.14767812192440033,
|
350 |
+
"eval_runtime": 0.1041,
|
351 |
+
"eval_samples_per_second": 96.05,
|
352 |
+
"eval_steps_per_second": 19.21,
|
353 |
+
"step": 23
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 24.0,
|
357 |
+
"grad_norm": 4.262996196746826,
|
358 |
+
"learning_rate": 0.0001,
|
359 |
+
"loss": 0.1474,
|
360 |
+
"step": 24
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 24.0,
|
364 |
+
"eval_loss": 0.05527349188923836,
|
365 |
+
"eval_runtime": 0.0983,
|
366 |
+
"eval_samples_per_second": 101.742,
|
367 |
+
"eval_steps_per_second": 20.348,
|
368 |
+
"step": 24
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 25.0,
|
372 |
+
"grad_norm": 4.262996196746826,
|
373 |
+
"learning_rate": 9.019828596704394e-05,
|
374 |
+
"loss": 0.0569,
|
375 |
+
"step": 25
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 25.0,
|
379 |
+
"eval_loss": 0.05527349188923836,
|
380 |
+
"eval_runtime": 0.1002,
|
381 |
+
"eval_samples_per_second": 99.795,
|
382 |
+
"eval_steps_per_second": 19.959,
|
383 |
+
"step": 25
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 26.0,
|
387 |
+
"grad_norm": 2.504621744155884,
|
388 |
+
"learning_rate": 8.049096779838719e-05,
|
389 |
+
"loss": 0.0569,
|
390 |
+
"step": 26
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 26.0,
|
394 |
+
"eval_loss": 0.05637549236416817,
|
395 |
+
"eval_runtime": 0.1041,
|
396 |
+
"eval_samples_per_second": 96.026,
|
397 |
+
"eval_steps_per_second": 19.205,
|
398 |
+
"step": 26
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 27.0,
|
402 |
+
"grad_norm": 2.504621744155884,
|
403 |
+
"learning_rate": 7.097153227455379e-05,
|
404 |
+
"loss": 0.0575,
|
405 |
+
"step": 27
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 27.0,
|
409 |
+
"eval_loss": 0.05637549236416817,
|
410 |
+
"eval_runtime": 0.0973,
|
411 |
+
"eval_samples_per_second": 102.725,
|
412 |
+
"eval_steps_per_second": 20.545,
|
413 |
+
"step": 27
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 28.0,
|
417 |
+
"grad_norm": 3.5743298530578613,
|
418 |
+
"learning_rate": 6.173165676349103e-05,
|
419 |
+
"loss": 0.0575,
|
420 |
+
"step": 28
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 28.0,
|
424 |
+
"eval_loss": 0.003984498791396618,
|
425 |
+
"eval_runtime": 0.0975,
|
426 |
+
"eval_samples_per_second": 102.605,
|
427 |
+
"eval_steps_per_second": 20.521,
|
428 |
+
"step": 28
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 29.0,
|
432 |
+
"grad_norm": 3.5743298530578613,
|
433 |
+
"learning_rate": 5.286032631740023e-05,
|
434 |
+
"loss": 0.0041,
|
435 |
+
"step": 29
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 29.0,
|
439 |
+
"eval_loss": 0.003984498791396618,
|
440 |
+
"eval_runtime": 0.0979,
|
441 |
+
"eval_samples_per_second": 102.094,
|
442 |
+
"eval_steps_per_second": 20.419,
|
443 |
+
"step": 29
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 30.0,
|
447 |
+
"grad_norm": 0.1635422706604004,
|
448 |
+
"learning_rate": 4.444297669803981e-05,
|
449 |
+
"loss": 0.0041,
|
450 |
+
"step": 30
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 30.0,
|
454 |
+
"eval_loss": 0.0021899878047406673,
|
455 |
+
"eval_runtime": 0.098,
|
456 |
+
"eval_samples_per_second": 102.061,
|
457 |
+
"eval_steps_per_second": 20.412,
|
458 |
+
"step": 30
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 31.0,
|
462 |
+
"grad_norm": 0.1635422706604004,
|
463 |
+
"learning_rate": 3.6560671583635467e-05,
|
464 |
+
"loss": 0.0022,
|
465 |
+
"step": 31
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 31.0,
|
469 |
+
"eval_loss": 0.0021899878047406673,
|
470 |
+
"eval_runtime": 0.0971,
|
471 |
+
"eval_samples_per_second": 103.036,
|
472 |
+
"eval_steps_per_second": 20.607,
|
473 |
+
"step": 31
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 32.0,
|
477 |
+
"grad_norm": 0.0847228392958641,
|
478 |
+
"learning_rate": 2.9289321881345254e-05,
|
479 |
+
"loss": 0.0022,
|
480 |
+
"step": 32
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 32.0,
|
484 |
+
"eval_loss": 0.0015291140880435705,
|
485 |
+
"eval_runtime": 0.1006,
|
486 |
+
"eval_samples_per_second": 99.357,
|
487 |
+
"eval_steps_per_second": 19.871,
|
488 |
+
"step": 32
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 33.0,
|
492 |
+
"grad_norm": 0.0847228392958641,
|
493 |
+
"learning_rate": 2.26989546637263e-05,
|
494 |
+
"loss": 0.0015,
|
495 |
+
"step": 33
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 33.0,
|
499 |
+
"eval_loss": 0.0015291140880435705,
|
500 |
+
"eval_runtime": 0.1027,
|
501 |
+
"eval_samples_per_second": 97.387,
|
502 |
+
"eval_steps_per_second": 19.477,
|
503 |
+
"step": 33
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 34.0,
|
507 |
+
"grad_norm": 0.06535077840089798,
|
508 |
+
"learning_rate": 1.6853038769745467e-05,
|
509 |
+
"loss": 0.0015,
|
510 |
+
"step": 34
|
511 |
+
},
|
512 |
+
{
|
513 |
+
"epoch": 34.0,
|
514 |
+
"eval_loss": 0.0011607444612309337,
|
515 |
+
"eval_runtime": 0.0977,
|
516 |
+
"eval_samples_per_second": 102.397,
|
517 |
+
"eval_steps_per_second": 20.479,
|
518 |
+
"step": 34
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 35.0,
|
522 |
+
"grad_norm": 0.06535077840089798,
|
523 |
+
"learning_rate": 1.1807873565164506e-05,
|
524 |
+
"loss": 0.0011,
|
525 |
+
"step": 35
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 35.0,
|
529 |
+
"eval_loss": 0.0011607444612309337,
|
530 |
+
"eval_runtime": 0.0971,
|
531 |
+
"eval_samples_per_second": 102.985,
|
532 |
+
"eval_steps_per_second": 20.597,
|
533 |
+
"step": 35
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 36.0,
|
537 |
+
"grad_norm": 0.04596730321645737,
|
538 |
+
"learning_rate": 7.612046748871327e-06,
|
539 |
+
"loss": 0.0011,
|
540 |
+
"step": 36
|
541 |
+
},
|
542 |
+
{
|
543 |
+
"epoch": 36.0,
|
544 |
+
"eval_loss": 0.0010076254839077592,
|
545 |
+
"eval_runtime": 0.0972,
|
546 |
+
"eval_samples_per_second": 102.913,
|
547 |
+
"eval_steps_per_second": 20.583,
|
548 |
+
"step": 36
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 37.0,
|
552 |
+
"grad_norm": 0.04596730321645737,
|
553 |
+
"learning_rate": 4.305966426779118e-06,
|
554 |
+
"loss": 0.001,
|
555 |
+
"step": 37
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 37.0,
|
559 |
+
"eval_loss": 0.0010076254839077592,
|
560 |
+
"eval_runtime": 0.097,
|
561 |
+
"eval_samples_per_second": 103.097,
|
562 |
+
"eval_steps_per_second": 20.619,
|
563 |
+
"step": 37
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 38.0,
|
567 |
+
"grad_norm": 0.039849672466516495,
|
568 |
+
"learning_rate": 1.921471959676957e-06,
|
569 |
+
"loss": 0.001,
|
570 |
+
"step": 38
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 38.0,
|
574 |
+
"eval_loss": 0.0009246615809388459,
|
575 |
+
"eval_runtime": 0.0975,
|
576 |
+
"eval_samples_per_second": 102.584,
|
577 |
+
"eval_steps_per_second": 20.517,
|
578 |
+
"step": 38
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 39.0,
|
582 |
+
"grad_norm": 0.039849672466516495,
|
583 |
+
"learning_rate": 4.815273327803182e-07,
|
584 |
+
"loss": 0.0009,
|
585 |
+
"step": 39
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 39.0,
|
589 |
+
"eval_loss": 0.0009246615809388459,
|
590 |
+
"eval_runtime": 0.099,
|
591 |
+
"eval_samples_per_second": 101.052,
|
592 |
+
"eval_steps_per_second": 20.21,
|
593 |
+
"step": 39
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 40.0,
|
597 |
+
"grad_norm": 0.037203624844551086,
|
598 |
+
"learning_rate": 0.0,
|
599 |
+
"loss": 0.0009,
|
600 |
+
"step": 40
|
601 |
+
},
|
602 |
+
{
|
603 |
+
"epoch": 40.0,
|
604 |
+
"eval_loss": 0.0009156091255135834,
|
605 |
+
"eval_runtime": 0.0977,
|
606 |
+
"eval_samples_per_second": 102.33,
|
607 |
+
"eval_steps_per_second": 20.466,
|
608 |
+
"step": 40
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 40.0,
|
612 |
+
"step": 40,
|
613 |
+
"total_flos": 3352730995261440.0,
|
614 |
+
"train_loss": 0.9132046818675008,
|
615 |
+
"train_runtime": 21.9272,
|
616 |
+
"train_samples_per_second": 18.242,
|
617 |
+
"train_steps_per_second": 1.824
|
618 |
}
|
619 |
],
|
620 |
"logging_steps": 1,
|
621 |
+
"max_steps": 40,
|
622 |
"num_input_tokens_seen": 0,
|
623 |
+
"num_train_epochs": 40,
|
624 |
"save_steps": 500,
|
625 |
"stateful_callbacks": {
|
626 |
"TrainerControl": {
|
|
|
634 |
"attributes": {}
|
635 |
}
|
636 |
},
|
637 |
+
"total_flos": 3352730995261440.0,
|
638 |
"train_batch_size": 4,
|
639 |
"trial_name": null,
|
640 |
"trial_params": null
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 6968
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fa2c887c5cce835e5cbf3d2e0b70db81040dda2b3369db7f54f3b1f24d181091
|
3 |
size 6968
|