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

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

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7080

## 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: 320
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 1    | 6.2494          |
| No log        | 2.0   | 2    | 6.1948          |
| No log        | 3.0   | 3    | 6.1225          |
| No log        | 4.0   | 4    | 6.0169          |
| No log        | 5.0   | 5    | 5.8711          |
| No log        | 6.0   | 6    | 5.6949          |
| No log        | 7.0   | 7    | 5.4383          |
| No log        | 8.0   | 8    | 5.1985          |
| No log        | 9.0   | 9    | 5.1196          |
| No log        | 10.0  | 10   | 5.1005          |
| No log        | 11.0  | 11   | 4.9257          |
| No log        | 12.0  | 12   | 4.5831          |
| No log        | 13.0  | 13   | 4.3068          |
| No log        | 14.0  | 14   | 4.1781          |
| No log        | 15.0  | 15   | 4.0040          |
| No log        | 16.0  | 16   | 3.8976          |
| No log        | 17.0  | 17   | 3.8215          |
| No log        | 18.0  | 18   | 3.7631          |
| No log        | 19.0  | 19   | 3.6786          |
| No log        | 20.0  | 20   | 3.5771          |
| No log        | 21.0  | 21   | 3.5172          |
| No log        | 22.0  | 22   | 3.4808          |
| No log        | 23.0  | 23   | 3.4825          |
| No log        | 24.0  | 24   | 3.5539          |
| No log        | 25.0  | 25   | 3.5337          |
| No log        | 26.0  | 26   | 3.4939          |
| No log        | 27.0  | 27   | 3.5150          |
| No log        | 28.0  | 28   | 3.5459          |
| No log        | 29.0  | 29   | 3.5461          |
| No log        | 30.0  | 30   | 3.4210          |
| No log        | 31.0  | 31   | 3.2489          |
| No log        | 32.0  | 32   | 3.1328          |
| No log        | 33.0  | 33   | 3.1024          |
| No log        | 34.0  | 34   | 3.0777          |
| No log        | 35.0  | 35   | 3.0049          |
| No log        | 36.0  | 36   | 2.9391          |
| No log        | 37.0  | 37   | 2.8754          |
| No log        | 38.0  | 38   | 2.8461          |
| No log        | 39.0  | 39   | 2.7858          |
| No log        | 40.0  | 40   | 2.7080          |


### Framework versions

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