---
library_name: transformers
license: mit
base_model: EleutherAI/gpt-neo-125M
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: MD5_gpt_neo_v2.0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# MD5_gpt_neo_v2.0

This model is a fine-tuned version of [EleutherAI/gpt-neo-125M](https://huggingface.co/EleutherAI/gpt-neo-125M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0286
- Rouge1: 0.0108
- Rouge2: 0.0
- Rougel: 0.0108

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|
| 25.8979       | 1.0   | 3438  | 8.3873          | 0.0224 | 0.0020 | 0.0194 |
| 8.0473        | 2.0   | 6876  | 2.5482          | 0.0137 | 0.0    | 0.0137 |
| 9.4131        | 3.0   | 10314 | 2.2991          | 0.0576 | 0.0    | 0.0601 |
| 5.4755        | 4.0   | 13752 | 0.8236          | 0.0    | 0.0    | 0.0    |
| 6.1776        | 5.0   | 17190 | 1.0286          | 0.0108 | 0.0    | 0.0108 |


### Framework versions

- Transformers 4.46.1
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.1