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# BconvQA-test2-squad-coqa

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5323
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 3.9256

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.5302        | 0.06  | 1500  | 1.9473          | 0.0    | 0.0    | 0.0    | 0.0       | 3.6514  |
| 2.44          | 0.12  | 3000  | 1.8964          | 0.0    | 0.0    | 0.0    | 0.0       | 3.9948  |
| 2.2622        | 0.18  | 4500  | 1.8528          | 0.0    | 0.0    | 0.0    | 0.0       | 3.8706  |
| 2.1834        | 0.24  | 6000  | 1.7909          | 0.0    | 0.0    | 0.0    | 0.0       | 3.7756  |
| 2.2367        | 0.3   | 7500  | 1.7395          | 0.0    | 0.0    | 0.0    | 0.0       | 3.8619  |
| 2.0983        | 0.36  | 9000  | 1.7326          | 0.0    | 0.0    | 0.0    | 0.0       | 4.0278  |
| 2.1482        | 0.42  | 10500 | 1.7058          | 0.0    | 0.0    | 0.0    | 0.0       | 3.8729  |
| 2.1615        | 0.48  | 12000 | 1.7181          | 0.0    | 0.0    | 0.0    | 0.0       | 3.8260  |
| 2.1064        | 0.54  | 13500 | 1.6604          | 0.0    | 0.0    | 0.0    | 0.0       | 3.9181  |
| 2.0456        | 0.6   | 15000 | 1.6704          | 0.0    | 0.0    | 0.0    | 0.0       | 3.8835  |
| 1.996         | 0.66  | 16500 | 1.6335          | 0.0    | 0.0    | 0.0    | 0.0       | 3.9159  |
| 2.0158        | 0.72  | 18000 | 1.6331          | 0.0    | 0.0    | 0.0    | 0.0       | 3.8674  |
| 2.019         | 0.78  | 19500 | 1.6162          | 0.0    | 0.0    | 0.0    | 0.0       | 3.8582  |
| 1.9423        | 0.84  | 21000 | 1.6273          | 0.0    | 0.0    | 0.0    | 0.0       | 3.8916  |
| 2.0245        | 0.9   | 22500 | 1.5869          | 0.0    | 0.0    | 0.0    | 0.0       | 3.9016  |
| 2.005         | 0.97  | 24000 | 1.5759          | 0.0    | 0.0    | 0.0    | 0.0       | 3.9108  |
| 1.8632        | 1.03  | 25500 | 1.5854          | 0.0    | 0.0    | 0.0    | 0.0       | 4.0361  |
| 1.846         | 1.09  | 27000 | 1.5760          | 0.0    | 0.0    | 0.0    | 0.0       | 3.9673  |
| 1.7916        | 1.15  | 28500 | 1.5873          | 0.0    | 0.0    | 0.0    | 0.0       | 3.9847  |
| 1.8518        | 1.21  | 30000 | 1.5660          | 0.0    | 0.0    | 0.0    | 0.0       | 3.8614  |
| 1.8646        | 1.27  | 31500 | 1.5598          | 0.0    | 0.0    | 0.0    | 0.0       | 3.9549  |
| 1.8173        | 1.33  | 33000 | 1.5596          | 0.0    | 0.0    | 0.0    | 0.0       | 3.9514  |
| 1.8105        | 1.39  | 34500 | 1.5553          | 0.0    | 0.0    | 0.0    | 0.0       | 3.9031  |
| 1.8131        | 1.45  | 36000 | 1.5640          | 0.0    | 0.0    | 0.0    | 0.0       | 3.9700  |
| 1.8608        | 1.51  | 37500 | 1.5413          | 0.0    | 0.0    | 0.0    | 0.0       | 3.8530  |
| 1.8117        | 1.57  | 39000 | 1.5504          | 0.0    | 0.0    | 0.0    | 0.0       | 3.9052  |
| 1.8339        | 1.63  | 40500 | 1.5369          | 0.0    | 0.0    | 0.0    | 0.0       | 3.9350  |
| 1.821         | 1.69  | 42000 | 1.5368          | 0.0    | 0.0    | 0.0    | 0.0       | 3.9976  |
| 1.8586        | 1.75  | 43500 | 1.5298          | 0.0    | 0.0    | 0.0    | 0.0       | 3.8929  |
| 1.7538        | 1.81  | 45000 | 1.5311          | 0.0    | 0.0    | 0.0    | 0.0       | 3.9496  |
| 1.8095        | 1.87  | 46500 | 1.5326          | 0.0    | 0.0    | 0.0    | 0.0       | 3.9137  |
| 1.7733        | 1.93  | 48000 | 1.5332          | 0.0    | 0.0    | 0.0    | 0.0       | 3.9207  |
| 1.7982        | 1.99  | 49500 | 1.5323          | 0.0    | 0.0    | 0.0    | 0.0       | 3.9256  |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "BconvQA-test2-squad-coqa", "results": []}]}
transformers safetensors t5 text2text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us