transformers tensorboard safetensors bert question-answering generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: GQA_BERT_legal_SQuAD_complete_augmented_100
  results: []
---

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# GQA_BERT_legal_SQuAD_complete_augmented_100

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0964

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 160
- eval_batch_size: 40
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 3    | 5.1190          |
| No log        | 2.0   | 6    | 4.5892          |
| No log        | 3.0   | 9    | 3.9684          |
| No log        | 4.0   | 12   | 3.6427          |
| No log        | 5.0   | 15   | 3.2081          |
| No log        | 6.0   | 18   | 2.8413          |
| No log        | 7.0   | 21   | 2.5487          |
| No log        | 8.0   | 24   | 2.2830          |
| No log        | 9.0   | 27   | 2.0807          |
| No log        | 10.0  | 30   | 1.8644          |
| No log        | 11.0  | 33   | 1.7166          |
| No log        | 12.0  | 36   | 1.5672          |
| No log        | 13.0  | 39   | 1.3949          |
| No log        | 14.0  | 42   | 1.3109          |
| No log        | 15.0  | 45   | 1.2622          |
| No log        | 16.0  | 48   | 1.1875          |
| No log        | 17.0  | 51   | 1.1579          |
| No log        | 18.0  | 54   | 1.1329          |
| No log        | 19.0  | 57   | 1.1090          |
| No log        | 20.0  | 60   | 1.0811          |
| No log        | 21.0  | 63   | 1.0542          |
| No log        | 22.0  | 66   | 1.0481          |
| No log        | 23.0  | 69   | 1.0355          |
| No log        | 24.0  | 72   | 1.0304          |
| No log        | 25.0  | 75   | 1.0276          |
| No log        | 26.0  | 78   | 1.0277          |
| No log        | 27.0  | 81   | 1.0329          |
| No log        | 28.0  | 84   | 1.0356          |
| No log        | 29.0  | 87   | 1.0410          |
| No log        | 30.0  | 90   | 1.0267          |
| No log        | 31.0  | 93   | 1.0280          |
| No log        | 32.0  | 96   | 1.0453          |
| No log        | 33.0  | 99   | 1.0520          |
| No log        | 34.0  | 102  | 1.0430          |
| No log        | 35.0  | 105  | 1.0393          |
| No log        | 36.0  | 108  | 1.0370          |
| No log        | 37.0  | 111  | 1.0284          |
| No log        | 38.0  | 114  | 1.0313          |
| No log        | 39.0  | 117  | 1.0376          |
| No log        | 40.0  | 120  | 1.0312          |
| No log        | 41.0  | 123  | 1.0218          |
| No log        | 42.0  | 126  | 1.0348          |
| No log        | 43.0  | 129  | 1.0426          |
| No log        | 44.0  | 132  | 1.0411          |
| No log        | 45.0  | 135  | 1.0463          |
| No log        | 46.0  | 138  | 1.0661          |
| No log        | 47.0  | 141  | 1.0733          |
| No log        | 48.0  | 144  | 1.0609          |
| No log        | 49.0  | 147  | 1.0578          |
| No log        | 50.0  | 150  | 1.0639          |
| No log        | 51.0  | 153  | 1.0490          |
| No log        | 52.0  | 156  | 1.0507          |
| No log        | 53.0  | 159  | 1.0460          |
| No log        | 54.0  | 162  | 1.0534          |
| No log        | 55.0  | 165  | 1.0530          |
| No log        | 56.0  | 168  | 1.0521          |
| No log        | 57.0  | 171  | 1.0470          |
| No log        | 58.0  | 174  | 1.0462          |
| No log        | 59.0  | 177  | 1.0547          |
| No log        | 60.0  | 180  | 1.0628          |
| No log        | 61.0  | 183  | 1.0550          |
| No log        | 62.0  | 186  | 1.0474          |
| No log        | 63.0  | 189  | 1.0536          |
| No log        | 64.0  | 192  | 1.0711          |
| No log        | 65.0  | 195  | 1.0832          |
| No log        | 66.0  | 198  | 1.0855          |
| No log        | 67.0  | 201  | 1.0901          |
| No log        | 68.0  | 204  | 1.0912          |
| No log        | 69.0  | 207  | 1.0888          |
| No log        | 70.0  | 210  | 1.0882          |
| No log        | 71.0  | 213  | 1.0985          |
| No log        | 72.0  | 216  | 1.1056          |
| No log        | 73.0  | 219  | 1.0876          |
| No log        | 74.0  | 222  | 1.0781          |
| No log        | 75.0  | 225  | 1.0894          |
| No log        | 76.0  | 228  | 1.0906          |
| No log        | 77.0  | 231  | 1.0848          |
| No log        | 78.0  | 234  | 1.0851          |
| No log        | 79.0  | 237  | 1.0949          |
| No log        | 80.0  | 240  | 1.0982          |
| No log        | 81.0  | 243  | 1.0932          |
| No log        | 82.0  | 246  | 1.0825          |
| No log        | 83.0  | 249  | 1.0791          |
| No log        | 84.0  | 252  | 1.0821          |
| No log        | 85.0  | 255  | 1.0819          |
| No log        | 86.0  | 258  | 1.0808          |
| No log        | 87.0  | 261  | 1.0794          |
| No log        | 88.0  | 264  | 1.0815          |
| No log        | 89.0  | 267  | 1.0859          |
| No log        | 90.0  | 270  | 1.0883          |
| No log        | 91.0  | 273  | 1.0890          |
| No log        | 92.0  | 276  | 1.0935          |
| No log        | 93.0  | 279  | 1.0982          |
| No log        | 94.0  | 282  | 1.1007          |
| No log        | 95.0  | 285  | 1.0994          |
| No log        | 96.0  | 288  | 1.0997          |
| No log        | 97.0  | 291  | 1.0998          |
| No log        | 98.0  | 294  | 1.0978          |
| No log        | 99.0  | 297  | 1.0970          |
| No log        | 100.0 | 300  | 1.0964          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.7
- Tokenizers 0.15.0
