transformers tensorboard safetensors gpt2 text-generation generated_from_trainer base_model:distilgpt2 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: shakespearean-lm
  results: []
---

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# shakespearean-lm

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.4100

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.9075        | 0.53  | 500  | 4.6423          |
| 4.6274        | 1.06  | 1000 | 4.5136          |
| 4.4057        | 1.59  | 1500 | 4.4582          |
| 4.3596        | 2.12  | 2000 | 4.4350          |
| 4.2589        | 2.65  | 2500 | 4.4163          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
