---
tags:
- generated_from_trainer
model-index:
- name: RADME_fine_f2
  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. -->

# RADME_fine_f2

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3229

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 3
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.3451        | 0.95  | 5000  | 0.3071          |
| 0.3005        | 1.91  | 10000 | 0.2879          |
| 0.2738        | 2.86  | 15000 | 0.2796          |
| 0.2572        | 3.81  | 20000 | 0.2768          |
| 0.2382        | 4.77  | 25000 | 0.2778          |
| 0.2262        | 5.72  | 30000 | 0.2770          |
| 0.2111        | 6.68  | 35000 | 0.2810          |
| 0.199         | 7.63  | 40000 | 0.2881          |
| 0.1896        | 8.58  | 45000 | 0.2940          |
| 0.1799        | 9.54  | 50000 | 0.2986          |
| 0.1702        | 10.49 | 55000 | 0.3054          |
| 0.1631        | 11.44 | 60000 | 0.3095          |
| 0.1555        | 12.4  | 65000 | 0.3157          |
| 0.1503        | 13.35 | 70000 | 0.3199          |
| 0.1478        | 14.3  | 75000 | 0.3229          |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3