---
library_name: transformers
license: mit
base_model: EleutherAI/gpt-neo-125M
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: MD5_gpt_neo_v1.1.4
  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_v1.1.4

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: 8.4439
- Rouge1: 0.0706
- Rouge2: 0.0027
- Rougel: 0.0591

## 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        | 0.9956 | 112  | 1.2557          | 0.4506 | 0.3864 | 0.4424 |
| No log        | 2.0    | 225  | 2.6798          | 0.2436 | 0.0318 | 0.1904 |
| No log        | 2.9956 | 337  | 5.4290          | 0.1316 | 0.0166 | 0.1014 |
| No log        | 4.0    | 450  | 8.2713          | 0.0840 | 0.0032 | 0.0668 |
| 7.8064        | 4.9778 | 560  | 8.4439          | 0.0706 | 0.0027 | 0.0591 |


### Framework versions

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