---
license: mit
base_model: EleutherAI/gpt-neo-1.3B
tags:
- generated_from_trainer
model-index:
- name: V0410MP2_neo
  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. -->

# V0410MP2_neo

This model is a fine-tuned version of [EleutherAI/gpt-neo-1.3B](https://huggingface.co/EleutherAI/gpt-neo-1.3B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.8587

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 20
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 14.6876       | 0.18  | 20   | 14.8238         |
| 15.6833       | 0.36  | 40   | 15.4468         |
| 12.87         | 0.54  | 60   | 10.7786         |
| 5.4953        | 0.73  | 80   | 4.9276          |
| 8.9421        | 0.91  | 100  | 8.9857          |
| 9.9807        | 1.09  | 120  | 9.7099          |
| 9.1809        | 1.27  | 140  | 9.2579          |
| 6.9349        | 1.45  | 160  | 5.9443          |
| 5.8015        | 1.63  | 180  | 5.9521          |
| 5.6365        | 1.81  | 200  | 5.7121          |
| 5.6957        | 1.99  | 220  | 5.8587          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1