End of training
Browse files- README.md +2 -2
- all_results.json +15 -0
- eval_results.json +9 -0
- predict_results.txt +0 -0
- train_results.json +9 -0
- trainer_state.json +976 -0
README.md
CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [vinai/phobert-large](https://huggingface.co/vinai/phobert-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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-
- Loss: 0.
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-
- F1: 0.
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23 |
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## Model description
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This model is a fine-tuned version of [vinai/phobert-large](https://huggingface.co/vinai/phobert-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.2752
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+
- F1: 0.9361
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## Model description
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all_results.json
ADDED
@@ -0,0 +1,15 @@
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{
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"epoch": 40.0,
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"eval_f1": 0.9360692350642099,
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"eval_loss": 0.2751626968383789,
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"eval_runtime": 29.5871,
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"eval_samples": 3582,
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"eval_samples_per_second": 121.066,
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"eval_steps_per_second": 5.07,
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"total_flos": 2.3084949799922688e+17,
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"train_loss": 0.688100525762774,
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"train_runtime": 30496.5649,
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"train_samples": 24771,
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"train_samples_per_second": 32.49,
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"train_steps_per_second": 1.355
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}
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eval_results.json
ADDED
@@ -0,0 +1,9 @@
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{
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"epoch": 40.0,
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"eval_f1": 0.9360692350642099,
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+
"eval_loss": 0.2751626968383789,
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"eval_runtime": 29.5871,
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"eval_samples": 3582,
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"eval_samples_per_second": 121.066,
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"eval_steps_per_second": 5.07
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}
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predict_results.txt
ADDED
The diff for this file is too large to render.
See raw diff
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train_results.json
ADDED
@@ -0,0 +1,9 @@
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{
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"epoch": 40.0,
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"total_flos": 2.3084949799922688e+17,
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"train_loss": 0.688100525762774,
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"train_runtime": 30496.5649,
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"train_samples": 24771,
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"train_samples_per_second": 32.49,
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"train_steps_per_second": 1.355
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}
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trainer_state.json
ADDED
@@ -0,0 +1,976 @@
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|
1 |
+
{
|
2 |
+
"best_metric": 0.9360692350642099,
|
3 |
+
"best_model_checkpoint": "/tmp/classification_phobertlarge/checkpoint-6198",
|
4 |
+
"epoch": 40.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 41320,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.484027105517909,
|
13 |
+
"grad_norm": 107.85002136230469,
|
14 |
+
"learning_rate": 2.9636979670861567e-05,
|
15 |
+
"loss": 0.4143,
|
16 |
+
"step": 500
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.968054211035818,
|
20 |
+
"grad_norm": 15.951617240905762,
|
21 |
+
"learning_rate": 2.927395934172314e-05,
|
22 |
+
"loss": 0.3094,
|
23 |
+
"step": 1000
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 1.0,
|
27 |
+
"eval_f1": 0.9327191513121161,
|
28 |
+
"eval_loss": 0.22949737310409546,
|
29 |
+
"eval_runtime": 30.2358,
|
30 |
+
"eval_samples_per_second": 118.469,
|
31 |
+
"eval_steps_per_second": 4.961,
|
32 |
+
"step": 1033
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 1.452081316553727,
|
36 |
+
"grad_norm": 0.18993481993675232,
|
37 |
+
"learning_rate": 2.8910939012584705e-05,
|
38 |
+
"loss": 0.2335,
|
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