transformers tensorboard safetensors bert question-answering generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: Legal_GQA_7_BERT_augmented_100
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Legal_GQA_7_BERT_augmented_100

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.8854

## 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: 128
- eval_batch_size: 32
- 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   | 4    | 2.9375          |
| No log        | 2.0   | 8    | 2.5861          |
| No log        | 3.0   | 12   | 3.0236          |
| No log        | 4.0   | 16   | 2.3145          |
| No log        | 5.0   | 20   | 2.7110          |
| No log        | 6.0   | 24   | 2.4009          |
| No log        | 7.0   | 28   | 2.6089          |
| No log        | 8.0   | 32   | 2.5080          |
| No log        | 9.0   | 36   | 2.6943          |
| No log        | 10.0  | 40   | 2.6713          |
| No log        | 11.0  | 44   | 3.0227          |
| No log        | 12.0  | 48   | 2.8381          |
| No log        | 13.0  | 52   | 3.2355          |
| No log        | 14.0  | 56   | 2.9510          |
| No log        | 15.0  | 60   | 3.3167          |
| No log        | 16.0  | 64   | 3.2990          |
| No log        | 17.0  | 68   | 3.4914          |
| No log        | 18.0  | 72   | 3.5478          |
| No log        | 19.0  | 76   | 3.7819          |
| No log        | 20.0  | 80   | 3.7423          |
| No log        | 21.0  | 84   | 3.7653          |
| No log        | 22.0  | 88   | 3.9264          |
| No log        | 23.0  | 92   | 3.7901          |
| No log        | 24.0  | 96   | 4.0258          |
| No log        | 25.0  | 100  | 4.1388          |
| No log        | 26.0  | 104  | 4.1338          |
| No log        | 27.0  | 108  | 4.0925          |
| No log        | 28.0  | 112  | 4.0685          |
| No log        | 29.0  | 116  | 4.2066          |
| No log        | 30.0  | 120  | 4.3976          |
| No log        | 31.0  | 124  | 4.2297          |
| No log        | 32.0  | 128  | 4.4429          |
| No log        | 33.0  | 132  | 4.4769          |
| No log        | 34.0  | 136  | 4.6924          |
| No log        | 35.0  | 140  | 4.5341          |
| No log        | 36.0  | 144  | 4.4352          |
| No log        | 37.0  | 148  | 4.4956          |
| No log        | 38.0  | 152  | 4.5124          |
| No log        | 39.0  | 156  | 4.4433          |
| No log        | 40.0  | 160  | 4.5376          |
| No log        | 41.0  | 164  | 4.4187          |
| No log        | 42.0  | 168  | 4.6840          |
| No log        | 43.0  | 172  | 4.8962          |
| No log        | 44.0  | 176  | 4.6352          |
| No log        | 45.0  | 180  | 4.6857          |
| No log        | 46.0  | 184  | 4.7973          |
| No log        | 47.0  | 188  | 4.8357          |
| No log        | 48.0  | 192  | 4.8215          |
| No log        | 49.0  | 196  | 4.8593          |
| No log        | 50.0  | 200  | 4.7425          |
| No log        | 51.0  | 204  | 4.6979          |
| No log        | 52.0  | 208  | 4.7642          |
| No log        | 53.0  | 212  | 4.9259          |
| No log        | 54.0  | 216  | 5.0124          |
| No log        | 55.0  | 220  | 5.1167          |
| No log        | 56.0  | 224  | 5.0260          |
| No log        | 57.0  | 228  | 4.8341          |
| No log        | 58.0  | 232  | 4.8657          |
| No log        | 59.0  | 236  | 4.8196          |
| No log        | 60.0  | 240  | 4.7984          |
| No log        | 61.0  | 244  | 5.0060          |
| No log        | 62.0  | 248  | 4.9326          |
| No log        | 63.0  | 252  | 4.7038          |
| No log        | 64.0  | 256  | 4.7326          |
| No log        | 65.0  | 260  | 5.0008          |
| No log        | 66.0  | 264  | 5.1227          |
| No log        | 67.0  | 268  | 4.8750          |
| No log        | 68.0  | 272  | 4.6740          |
| No log        | 69.0  | 276  | 4.9472          |
| No log        | 70.0  | 280  | 5.0634          |
| No log        | 71.0  | 284  | 4.9791          |
| No log        | 72.0  | 288  | 4.9960          |
| No log        | 73.0  | 292  | 4.9437          |
| No log        | 74.0  | 296  | 4.8558          |
| No log        | 75.0  | 300  | 4.8548          |
| No log        | 76.0  | 304  | 4.9371          |
| No log        | 77.0  | 308  | 4.8281          |
| No log        | 78.0  | 312  | 4.8555          |
| No log        | 79.0  | 316  | 5.0903          |
| No log        | 80.0  | 320  | 5.1344          |
| No log        | 81.0  | 324  | 5.0305          |
| No log        | 82.0  | 328  | 4.9848          |
| No log        | 83.0  | 332  | 4.9658          |
| No log        | 84.0  | 336  | 4.8907          |
| No log        | 85.0  | 340  | 4.8319          |
| No log        | 86.0  | 344  | 4.8355          |
| No log        | 87.0  | 348  | 4.8083          |
| No log        | 88.0  | 352  | 4.8290          |
| No log        | 89.0  | 356  | 4.9148          |
| No log        | 90.0  | 360  | 4.9964          |
| No log        | 91.0  | 364  | 5.0250          |
| No log        | 92.0  | 368  | 4.9765          |
| No log        | 93.0  | 372  | 4.9332          |
| No log        | 94.0  | 376  | 4.9085          |
| No log        | 95.0  | 380  | 4.8835          |
| No log        | 96.0  | 384  | 4.8701          |
| No log        | 97.0  | 388  | 4.8764          |
| No log        | 98.0  | 392  | 4.8855          |
| No log        | 99.0  | 396  | 4.8869          |
| No log        | 100.0 | 400  | 4.8854          |


### Framework versions

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