---
library_name: transformers
license: mit
base_model: EleutherAI/gpt-neo-125M
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: MD5_gpt_neo_sanity_v1.0.1
  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_sanity_v1.0.1

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: 0.5127
- Rouge1: 0.4956
- Rouge2: 0.3272
- Rougel: 0.4733

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rouge1 | Rouge2 | Rougel |
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|
| No log        | 0.9935 | 77   | 0.3877          | 0.488  | 0.3501 | 0.488  |
| No log        | 2.0    | 155  | 0.4174          | 0.4879 | 0.3282 | 0.4719 |
| No log        | 2.9935 | 232  | 0.4750          | 0.4995 | 0.3211 | 0.4727 |
| No log        | 4.0    | 310  | 0.5073          | 0.4948 | 0.3268 | 0.4726 |
| No log        | 4.9677 | 385  | 0.5127          | 0.4956 | 0.3272 | 0.4733 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 2.14.4
- Tokenizers 0.19.1