MHGanainy/16-clusters-balanced-15
Browse files- README.md +2 -0
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +119 -0
README.md
CHANGED
@@ -15,6 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
# 16-clusters-balanced-15
|
16 |
|
17 |
This model is a fine-tuned version of [openai-community/gpt2-xl](https://huggingface.co/openai-community/gpt2-xl) on an unknown dataset.
|
|
|
|
|
18 |
|
19 |
## Model description
|
20 |
|
|
|
15 |
# 16-clusters-balanced-15
|
16 |
|
17 |
This model is a fine-tuned version of [openai-community/gpt2-xl](https://huggingface.co/openai-community/gpt2-xl) on an unknown dataset.
|
18 |
+
It achieves the following results on the evaluation set:
|
19 |
+
- Loss: 1.5769
|
20 |
|
21 |
## Model description
|
22 |
|
all_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"eval_loss": 1.5768862962722778,
|
4 |
+
"eval_runtime": 12.3203,
|
5 |
+
"eval_samples_per_second": 13.798,
|
6 |
+
"eval_steps_per_second": 1.786,
|
7 |
+
"perplexity": 4.839862427586909,
|
8 |
+
"total_flos": 2.11899798257664e+16,
|
9 |
+
"train_loss": 1.9699366064055297,
|
10 |
+
"train_runtime": 363.1708,
|
11 |
+
"train_samples_per_second": 6.421,
|
12 |
+
"train_steps_per_second": 3.211
|
13 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"eval_loss": 1.5768862962722778,
|
4 |
+
"eval_runtime": 12.3203,
|
5 |
+
"eval_samples_per_second": 13.798,
|
6 |
+
"eval_steps_per_second": 1.786,
|
7 |
+
"perplexity": 4.839862427586909
|
8 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"total_flos": 2.11899798257664e+16,
|
4 |
+
"train_loss": 1.9699366064055297,
|
5 |
+
"train_runtime": 363.1708,
|
6 |
+
"train_samples_per_second": 6.421,
|
7 |
+
"train_steps_per_second": 3.211
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,119 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1166,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.08576329331046312,
|
13 |
+
"grad_norm": 0.1369553655385971,
|
14 |
+
"learning_rate": 6.666666666666667e-06,
|
15 |
+
"loss": 2.3302,
|
16 |
+
"step": 100
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.17152658662092624,
|
20 |
+
"grad_norm": 0.1438201665878296,
|
21 |
+
"learning_rate": 1.3333333333333333e-05,
|
22 |
+
"loss": 2.2922,
|
23 |
+
"step": 200
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.25728987993138935,
|
27 |
+
"grad_norm": 0.28228944540023804,
|
28 |
+
"learning_rate": 2e-05,
|
29 |
+
"loss": 2.2043,
|
30 |
+
"step": 300
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.34305317324185247,
|
34 |
+
"grad_norm": 0.5485918521881104,
|
35 |
+
"learning_rate": 1.9349172522833747e-05,
|
36 |
+
"loss": 2.0864,
|
37 |
+
"step": 400
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.4288164665523156,
|
41 |
+
"grad_norm": 0.592337965965271,
|
42 |
+
"learning_rate": 1.748140537234191e-05,
|
43 |
+
"loss": 2.0281,
|
44 |
+
"step": 500
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.5145797598627787,
|
48 |
+
"grad_norm": 0.6518536806106567,
|
49 |
+
"learning_rate": 1.4639817385022206e-05,
|
50 |
+
"loss": 1.9181,
|
51 |
+
"step": 600
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.6003430531732419,
|
55 |
+
"grad_norm": 0.9288659691810608,
|
56 |
+
"learning_rate": 1.1194285269061277e-05,
|
57 |
+
"loss": 1.7875,
|
58 |
+
"step": 700
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.6861063464837049,
|
62 |
+
"grad_norm": 0.9042983651161194,
|
63 |
+
"learning_rate": 7.593298419364355e-06,
|
64 |
+
"loss": 1.8126,
|
65 |
+
"step": 800
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.7718696397941681,
|
69 |
+
"grad_norm": 1.000226378440857,
|
70 |
+
"learning_rate": 4.3055810732708584e-06,
|
71 |
+
"loss": 1.8197,
|
72 |
+
"step": 900
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.8576329331046312,
|
76 |
+
"grad_norm": 0.927306056022644,
|
77 |
+
"learning_rate": 1.7590805879795358e-06,
|
78 |
+
"loss": 1.7825,
|
79 |
+
"step": 1000
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.9433962264150944,
|
83 |
+
"grad_norm": 0.9187927842140198,
|
84 |
+
"learning_rate": 2.8526346077935253e-07,
|
85 |
+
"loss": 1.7441,
|
86 |
+
"step": 1100
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 1.0,
|
90 |
+
"step": 1166,
|
91 |
+
"total_flos": 2.11899798257664e+16,
|
92 |
+
"train_loss": 1.9699366064055297,
|
93 |
+
"train_runtime": 363.1708,
|
94 |
+
"train_samples_per_second": 6.421,
|
95 |
+
"train_steps_per_second": 3.211
|
96 |
+
}
|
97 |
+
],
|
98 |
+
"logging_steps": 100,
|
99 |
+
"max_steps": 1166,
|
100 |
+
"num_input_tokens_seen": 0,
|
101 |
+
"num_train_epochs": 1,
|
102 |
+
"save_steps": 500,
|
103 |
+
"stateful_callbacks": {
|
104 |
+
"TrainerControl": {
|
105 |
+
"args": {
|
106 |
+
"should_epoch_stop": false,
|
107 |
+
"should_evaluate": false,
|
108 |
+
"should_log": false,
|
109 |
+
"should_save": true,
|
110 |
+
"should_training_stop": true
|
111 |
+
},
|
112 |
+
"attributes": {}
|
113 |
+
}
|
114 |
+
},
|
115 |
+
"total_flos": 2.11899798257664e+16,
|
116 |
+
"train_batch_size": 2,
|
117 |
+
"trial_name": null,
|
118 |
+
"trial_params": null
|
119 |
+
}
|