End of training
Browse files
README.md
CHANGED
|
@@ -14,13 +14,13 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 14 |
|
| 15 |
This model is a fine-tuned version of [vinai/bartpho-word-base](https://huggingface.co/vinai/bartpho-word-base) on an unknown dataset.
|
| 16 |
It achieves the following results on the evaluation set:
|
| 17 |
-
- Loss: 0.
|
| 18 |
-
- F1 Micro: 0.
|
| 19 |
-
- Recall Micro: 0.
|
| 20 |
-
- Precision Micro: 0.
|
| 21 |
-
- F1 Macro: 0.
|
| 22 |
-
- Recall Macro: 0.
|
| 23 |
-
- Precision Macro: 0.
|
| 24 |
|
| 25 |
## Model description
|
| 26 |
|
|
@@ -45,16 +45,14 @@ The following hyperparameters were used during training:
|
|
| 45 |
- seed: 42
|
| 46 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 47 |
- lr_scheduler_type: linear
|
| 48 |
-
- num_epochs:
|
| 49 |
- mixed_precision_training: Native AMP
|
| 50 |
|
| 51 |
### Training results
|
| 52 |
|
| 53 |
| Training Loss | Epoch | Step | Validation Loss | F1 Micro | Recall Micro | Precision Micro | F1 Macro | Recall Macro | Precision Macro |
|
| 54 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------------:|:---------------:|:--------:|:------------:|:---------------:|
|
| 55 |
-
| 0.
|
| 56 |
-
| 0.0083 | 2.0 | 2984 | 0.0123 | 0.7412 | 0.6608 | 0.8438 | 0.1776 | 0.1630 | 0.1995 |
|
| 57 |
-
| 0.0054 | 3.0 | 4476 | 0.0130 | 0.7393 | 0.6664 | 0.8303 | 0.1848 | 0.1784 | 0.1936 |
|
| 58 |
|
| 59 |
|
| 60 |
### Framework versions
|
|
|
|
| 14 |
|
| 15 |
This model is a fine-tuned version of [vinai/bartpho-word-base](https://huggingface.co/vinai/bartpho-word-base) on an unknown dataset.
|
| 16 |
It achieves the following results on the evaluation set:
|
| 17 |
+
- Loss: 0.0125
|
| 18 |
+
- F1 Micro: 0.7420
|
| 19 |
+
- Recall Micro: 0.6752
|
| 20 |
+
- Precision Micro: 0.8234
|
| 21 |
+
- F1 Macro: 0.1574
|
| 22 |
+
- Recall Macro: 0.1447
|
| 23 |
+
- Precision Macro: 0.1833
|
| 24 |
|
| 25 |
## Model description
|
| 26 |
|
|
|
|
| 45 |
- seed: 42
|
| 46 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 47 |
- lr_scheduler_type: linear
|
| 48 |
+
- num_epochs: 1
|
| 49 |
- mixed_precision_training: Native AMP
|
| 50 |
|
| 51 |
### Training results
|
| 52 |
|
| 53 |
| Training Loss | Epoch | Step | Validation Loss | F1 Micro | Recall Micro | Precision Micro | F1 Macro | Recall Macro | Precision Macro |
|
| 54 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------------:|:---------------:|:--------:|:------------:|:---------------:|
|
| 55 |
+
| 0.018 | 1.0 | 1492 | 0.0125 | 0.7420 | 0.6752 | 0.8234 | 0.1574 | 0.1447 | 0.1833 |
|
|
|
|
|
|
|
| 56 |
|
| 57 |
|
| 58 |
### Framework versions
|