update model card README.md
Browse files
README.md
CHANGED
|
@@ -20,14 +20,8 @@ More information needed
|
|
| 20 |
|
| 21 |
## Intended uses & limitations
|
| 22 |
|
| 23 |
-
|
| 24 |
-
```python
|
| 25 |
-
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
|
| 26 |
-
|
| 27 |
-
tokenizer = AutoTokenizer.from_pretrained("Aharneish/qa-model")
|
| 28 |
|
| 29 |
-
model = AutoModelForQuestionAnswering.from_pretrained("Aharneish/qa-model")
|
| 30 |
-
```
|
| 31 |
## Training and evaluation data
|
| 32 |
|
| 33 |
More information needed
|
|
@@ -37,13 +31,13 @@ More information needed
|
|
| 37 |
### Training hyperparameters
|
| 38 |
|
| 39 |
The following hyperparameters were used during training:
|
| 40 |
-
- learning_rate:
|
| 41 |
- train_batch_size: 8
|
| 42 |
- eval_batch_size: 8
|
| 43 |
- seed: 42
|
| 44 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 45 |
- lr_scheduler_type: linear
|
| 46 |
-
- num_epochs:
|
| 47 |
- mixed_precision_training: Native AMP
|
| 48 |
|
| 49 |
### Training results
|
|
@@ -52,7 +46,7 @@ The following hyperparameters were used during training:
|
|
| 52 |
|
| 53 |
### Framework versions
|
| 54 |
|
| 55 |
-
- Transformers 4.
|
| 56 |
- Pytorch 2.0.0+cu118
|
| 57 |
- Datasets 2.11.0
|
| 58 |
- Tokenizers 0.13.3
|
|
|
|
| 20 |
|
| 21 |
## Intended uses & limitations
|
| 22 |
|
| 23 |
+
More information needed
|
|
|
|
|
|
|
|
|
|
|
|
|
| 24 |
|
|
|
|
|
|
|
| 25 |
## Training and evaluation data
|
| 26 |
|
| 27 |
More information needed
|
|
|
|
| 31 |
### Training hyperparameters
|
| 32 |
|
| 33 |
The following hyperparameters were used during training:
|
| 34 |
+
- learning_rate: 3e-05
|
| 35 |
- train_batch_size: 8
|
| 36 |
- eval_batch_size: 8
|
| 37 |
- seed: 42
|
| 38 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 39 |
- lr_scheduler_type: linear
|
| 40 |
+
- num_epochs: 50
|
| 41 |
- mixed_precision_training: Native AMP
|
| 42 |
|
| 43 |
### Training results
|
|
|
|
| 46 |
|
| 47 |
### Framework versions
|
| 48 |
|
| 49 |
+
- Transformers 4.28.1
|
| 50 |
- Pytorch 2.0.0+cu118
|
| 51 |
- Datasets 2.11.0
|
| 52 |
- Tokenizers 0.13.3
|