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# checkpoints

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1293

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.1387        | 1.0   | 2334 | 3.1259          |
| 2.9604        | 2.0   | 4668 | 3.1257          |
| 2.8686        | 3.0   | 7002 | 3.1293          |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.1
- Datasets 2.14.7
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "model-index": [{"name": "checkpoints", "results": []}]}
transformers pytorch gpt2 text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us