update model card README.md
Browse files
README.md
CHANGED
|
@@ -2,9 +2,6 @@
|
|
| 2 |
license: apache-2.0
|
| 3 |
tags:
|
| 4 |
- generated_from_trainer
|
| 5 |
-
metrics:
|
| 6 |
-
- accuracy
|
| 7 |
-
- f1
|
| 8 |
model-index:
|
| 9 |
- name: legal-doctrine-Coding-Challenge
|
| 10 |
results: []
|
|
@@ -16,10 +13,6 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 16 |
# legal-doctrine-Coding-Challenge
|
| 17 |
|
| 18 |
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
|
| 19 |
-
It achieves the following results on the evaluation set:
|
| 20 |
-
- Loss: 0.5079
|
| 21 |
-
- Accuracy: 0.774
|
| 22 |
-
- F1: 0.7814
|
| 23 |
|
| 24 |
## Model description
|
| 25 |
|
|
@@ -39,12 +32,12 @@ More information needed
|
|
| 39 |
|
| 40 |
The following hyperparameters were used during training:
|
| 41 |
- learning_rate: 2e-05
|
| 42 |
-
- train_batch_size:
|
| 43 |
-
- eval_batch_size:
|
| 44 |
- seed: 42
|
| 45 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 46 |
- lr_scheduler_type: linear
|
| 47 |
-
- num_epochs:
|
| 48 |
|
| 49 |
### Training results
|
| 50 |
|
|
|
|
| 2 |
license: apache-2.0
|
| 3 |
tags:
|
| 4 |
- generated_from_trainer
|
|
|
|
|
|
|
|
|
|
| 5 |
model-index:
|
| 6 |
- name: legal-doctrine-Coding-Challenge
|
| 7 |
results: []
|
|
|
|
| 13 |
# legal-doctrine-Coding-Challenge
|
| 14 |
|
| 15 |
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
|
|
|
|
|
|
|
|
|
|
|
|
|
| 16 |
|
| 17 |
## Model description
|
| 18 |
|
|
|
|
| 32 |
|
| 33 |
The following hyperparameters were used during training:
|
| 34 |
- learning_rate: 2e-05
|
| 35 |
+
- train_batch_size: 32
|
| 36 |
+
- eval_batch_size: 32
|
| 37 |
- seed: 42
|
| 38 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 39 |
- lr_scheduler_type: linear
|
| 40 |
+
- num_epochs: 3
|
| 41 |
|
| 42 |
### Training results
|
| 43 |
|