---
tags:
- generated_from_trainer
model-index:
- name: ossp-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-v0_3

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: 0.3451

## 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: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 0.3999        | 0.2   | 10000  | 0.4079          |
| 0.4441        | 0.39  | 20000  | 0.4555          |
| 0.4361        | 0.59  | 30000  | 0.4378          |
| 0.4302        | 0.79  | 40000  | 0.4255          |
| 0.4392        | 0.98  | 50000  | 0.4076          |
| 0.3714        | 1.18  | 60000  | 0.4006          |
| 0.3694        | 1.38  | 70000  | 0.3908          |
| 0.3591        | 1.57  | 80000  | 0.3810          |
| 0.3594        | 1.77  | 90000  | 0.3762          |
| 0.3567        | 1.97  | 100000 | 0.3667          |
| 0.3041        | 2.16  | 110000 | 0.3663          |
| 0.299         | 2.36  | 120000 | 0.3603          |
| 0.2972        | 2.56  | 130000 | 0.3569          |
| 0.2892        | 2.75  | 140000 | 0.3519          |
| 0.2844        | 2.95  | 150000 | 0.3463          |
| 0.2372        | 3.15  | 160000 | 0.3522          |
| 0.2367        | 3.34  | 170000 | 0.3508          |
| 0.2295        | 3.54  | 180000 | 0.3489          |
| 0.2281        | 3.74  | 190000 | 0.3468          |
| 0.2233        | 3.93  | 200000 | 0.3451          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Tokenizers 0.13.3