---
library_name: transformers
license: mit
base_model: EleutherAI/gpt-neo-125M
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: MD5_gpt_neo_v1.3
  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. -->

# MD5_gpt_neo_v1.3

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: 6.1987
- Rouge1: 0.0630
- Rouge2: 0.0081
- Rougel: 0.0461

## 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 |
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|
| No log        | 0.9961 | 129  | 4.0786          | 0.0876 | 0.0187 | 0.0674 |
| No log        | 2.0    | 259  | 4.9529          | 0.0659 | 0.0125 | 0.0519 |
| No log        | 2.9961 | 388  | 5.6868          | 0.0599 | 0.0090 | 0.0470 |
| 8.7097        | 4.0    | 518  | 6.0029          | 0.0611 | 0.0075 | 0.0446 |
| 8.7097        | 4.9807 | 645  | 6.1987          | 0.0630 | 0.0081 | 0.0461 |


### Framework versions

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