---
tags:
- generated_from_trainer
model-index:
- name: out_3
  results: []
---

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should probably proofread and complete it, then remove this comment. -->

[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
# out_3

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6039

## 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: 5e-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 150
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9036        | 0.0   | 1    | 0.8492          |
| 0.6255        | 0.07  | 79   | 0.6767          |
| 0.6044        | 0.13  | 158  | 0.6644          |
| 0.671         | 0.2   | 237  | 0.6563          |
| 0.6385        | 0.27  | 316  | 0.6504          |
| 0.6546        | 0.33  | 395  | 0.6428          |
| 0.6005        | 0.4   | 474  | 0.6368          |
| 0.5888        | 0.47  | 553  | 0.6311          |
| 0.6194        | 0.53  | 632  | 0.6251          |
| 0.6163        | 0.6   | 711  | 0.6197          |
| 0.5947        | 0.67  | 790  | 0.6152          |
| 0.6138        | 0.73  | 869  | 0.6102          |
| 0.6154        | 0.8   | 948  | 0.6071          |
| 0.6333        | 0.87  | 1027 | 0.6051          |
| 0.6063        | 0.93  | 1106 | 0.6041          |
| 0.5804        | 1.0   | 1185 | 0.6039          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0