---
tags:
- generated_from_trainer
model-index:
- name: ossp-v0_2
  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-v0_2

This model is a fine-tuned version of [leadawon/ossp-v0_2](https://huggingface.co/leadawon/ossp-v0_2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3871

## 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: 16
- eval_batch_size: 16
- 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: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.0152        | 0.13  | 10000 | 0.8570          |
| 0.6616        | 0.26  | 20000 | 0.6056          |
| 0.5819        | 0.39  | 30000 | 0.5253          |
| 0.518         | 0.52  | 40000 | 0.4710          |
| 0.465         | 0.66  | 50000 | 0.4404          |
| 0.4252        | 0.79  | 60000 | 0.4097          |
| 0.4139        | 0.92  | 70000 | 0.3871          |


### Framework versions

- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Tokenizers 0.13.3