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# gpt2_nw

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8193

## 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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.9039        | 0.67  | 500  | 2.4355          |
| 2.3817        | 1.34  | 1000 | 2.1330          |
| 2.1825        | 2.01  | 1500 | 1.9797          |
| 2.0275        | 2.68  | 2000 | 1.8799          |
| 1.9089        | 3.35  | 2500 | 1.8193          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "model-index": [{"name": "gpt2_nw", "results": []}]}
transformers tensorboard safetensors gpt2 text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us