---
license: mit
base_model: EleutherAI/gpt-neo-2.7B
tags:
- generated_from_trainer
model-index:
- name: V0410MP3_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. -->

# V0410MP3_neo

This model is a fine-tuned version of [EleutherAI/gpt-neo-2.7B](https://huggingface.co/EleutherAI/gpt-neo-2.7B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 11.4224

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 12.6501       | 0.18  | 20   | 12.6430         |
| 12.5965       | 0.36  | 40   | 12.6773         |
| 12.883        | 0.54  | 60   | 12.8912         |
| 12.443        | 0.73  | 80   | 13.2937         |
| 11.8789       | 0.91  | 100  | 11.5682         |
| 11.8368       | 1.09  | 120  | 12.7259         |
| 11.6823       | 1.27  | 140  | 11.6140         |
| 11.3923       | 1.45  | 160  | 11.4045         |
| 11.4354       | 1.63  | 180  | 11.5279         |
| 11.4733       | 1.81  | 200  | 11.4428         |
| 11.3741       | 1.99  | 220  | 11.4224         |


### Framework versions

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