---
library_name: transformers
license: mit
base_model: EleutherAI/gpt-neo-125M
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: MD5_gpt_neo_v1.1.3
  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_v1.1.3

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: 0.0538
- Rouge1: 0.5076
- Rouge2: 0.2548
- Rougel: 0.4743

## 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        | 1.0   | 70   | 0.0628          | 0.4870 | 0.2269 | 0.4475 |
| No log        | 2.0   | 140  | 0.0566          | 0.4913 | 0.2367 | 0.4607 |
| No log        | 3.0   | 210  | 0.0545          | 0.4972 | 0.2484 | 0.4667 |
| No log        | 4.0   | 280  | 0.0544          | 0.5023 | 0.2586 | 0.4749 |
| No log        | 5.0   | 350  | 0.0538          | 0.5076 | 0.2548 | 0.4743 |


### Framework versions

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