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# lmd-8bars-2048-epochs10

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4177

## 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: 0.001
- train_batch_size: 8
- eval_batch_size: 4
- seed: 1
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.9314        | 1.23  | 512  | 3.1779          |
| 2.8676        | 2.46  | 1024 | 2.5484          |
| 2.4108        | 3.7   | 1536 | 2.2233          |
| 2.1046        | 4.93  | 2048 | 1.9336          |
| 1.8244        | 6.16  | 2560 | 1.6851          |
| 1.5962        | 7.39  | 3072 | 1.5221          |
| 1.4629        | 8.63  | 3584 | 1.4346          |
| 1.3787        | 9.86  | 4096 | 1.4177          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "lmd-8bars-2048-epochs10", "results": []}]}
transformers safetensors gpt2 text-generation generated_from_trainer base_model:gpt2 license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us