transformers tensorboard safetensors gpt2 text-generation generated_from_trainer base_model:navneeth-hr/reuters-gpt2-text-gen license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: mit
base_model: navneeth-hr/reuters-gpt2-text-gen
tags:
- generated_from_trainer
model-index:
- name: reuters-gpt2-text-gen
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# reuters-gpt2-text-gen

This model is a fine-tuned version of [navneeth-hr/reuters-gpt2-text-gen](https://huggingface.co/navneeth-hr/reuters-gpt2-text-gen) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.7577

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.5349        | 1.0   | 269  | 4.7577          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
