---
tags:
- generated_from_trainer
model-index:
- name: ossp-reverse-v0_3
  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. -->

# ossp-reverse-v0_3

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5481

## 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-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 1.2235        | 0.2   | 10000  | 1.0768          |
| 0.8477        | 0.39  | 20000  | 0.7847          |
| 0.7494        | 0.59  | 30000  | 0.7090          |
| 0.6854        | 0.79  | 40000  | 0.6623          |
| 0.6673        | 0.98  | 50000  | 0.6288          |
| 0.6002        | 1.18  | 60000  | 0.6092          |
| 0.5839        | 1.38  | 70000  | 0.5894          |
| 0.5642        | 1.57  | 80000  | 0.5731          |
| 0.5564        | 1.77  | 90000  | 0.5572          |
| 0.5496        | 1.97  | 100000 | 0.5481          |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3