adding details and test result.
Browse files
README.md
CHANGED
|
@@ -15,11 +15,18 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
# 2d6_800
|
| 17 |
|
| 18 |
-
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on
|
|
|
|
| 19 |
It achieves the following results on the evaluation set:
|
| 20 |
- Loss: 0.3176
|
| 21 |
- Accuracy: 0.85
|
| 22 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 23 |
## Model description
|
| 24 |
|
| 25 |
More information needed
|
|
|
|
| 15 |
|
| 16 |
# 2d6_800
|
| 17 |
|
| 18 |
+
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the [ComNum](https://huggingface.co/datasets/abbassix/ComNum) dataset.
|
| 19 |
+
This model used 800 samples as training, 200 as validation, and 1200 as test on three epochs.
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
- Loss: 0.3176
|
| 22 |
- Accuracy: 0.85
|
| 23 |
|
| 24 |
+
This model achieves the following results on the test set:
|
| 25 |
+
- Loss: 0.4889
|
| 26 |
+
- Accuracy: 0.7594
|
| 27 |
+
<!--
|
| 28 |
+
{'eval_loss': 0.488890141248703, 'eval_accuracy': 0.7594, 'eval_runtime': 583.1367, 'eval_samples_per_second': 17.149, 'eval_steps_per_second': 2.144}
|
| 29 |
+
-->
|
| 30 |
## Model description
|
| 31 |
|
| 32 |
More information needed
|