---
tags:
- generated_from_trainer
model-index:
- name: testc8-2
  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. -->

# testc8-2

This model is a fine-tuned version of [shafin/chemical-bert-uncased-finetuned-cust-c2](https://huggingface.co/shafin/chemical-bert-uncased-finetuned-cust-c2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2346

## 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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6173        | 1.0   | 16   | 0.3874          |
| 0.5383        | 2.0   | 32   | 0.3227          |
| 0.4756        | 3.0   | 48   | 0.3142          |
| 0.4399        | 4.0   | 64   | 0.3404          |
| 0.4462        | 5.0   | 80   | 0.3112          |
| 0.4187        | 6.0   | 96   | 0.3185          |
| 0.4023        | 7.0   | 112  | 0.2628          |
| 0.3712        | 8.0   | 128  | 0.2807          |
| 0.3922        | 9.0   | 144  | 0.2516          |
| 0.3483        | 10.0  | 160  | 0.1995          |
| 0.3417        | 11.0  | 176  | 0.2452          |
| 0.3585        | 12.0  | 192  | 0.2236          |
| 0.3413        | 13.0  | 208  | 0.2031          |
| 0.3452        | 14.0  | 224  | 0.2238          |
| 0.317         | 15.0  | 240  | 0.2229          |
| 0.3161        | 16.0  | 256  | 0.2591          |
| 0.3338        | 17.0  | 272  | 0.2599          |
| 0.2949        | 18.0  | 288  | 0.2618          |
| 0.3035        | 19.0  | 304  | 0.2436          |
| 0.3108        | 20.0  | 320  | 0.2015          |
| 0.289         | 21.0  | 336  | 0.2329          |
| 0.3144        | 22.0  | 352  | 0.1940          |
| 0.2606        | 23.0  | 368  | 0.2334          |
| 0.2842        | 24.0  | 384  | 0.1996          |
| 0.2892        | 25.0  | 400  | 0.2330          |
| 0.2612        | 26.0  | 416  | 0.2163          |
| 0.2669        | 27.0  | 432  | 0.2053          |
| 0.3147        | 28.0  | 448  | 0.1555          |
| 0.286         | 29.0  | 464  | 0.1983          |
| 0.2857        | 30.0  | 480  | 0.2346          |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2