---
base_model: distilbert/distilroberta-base
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: my_model
  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. -->

# my_model

This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7996

## 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
- num_epochs: 45

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 199  | 1.7128          |
| No log        | 2.0   | 398  | 1.4856          |
| 1.8719        | 3.0   | 597  | 1.3661          |
| 1.8719        | 4.0   | 796  | 1.2638          |
| 1.8719        | 5.0   | 995  | 1.1847          |
| 1.3663        | 6.0   | 1194 | 1.1849          |
| 1.3663        | 7.0   | 1393 | 1.1757          |
| 1.2108        | 8.0   | 1592 | 1.1026          |
| 1.2108        | 9.0   | 1791 | 1.0826          |
| 1.2108        | 10.0  | 1990 | 1.0609          |
| 1.1079        | 11.0  | 2189 | 1.0221          |
| 1.1079        | 12.0  | 2388 | 1.0199          |
| 1.0428        | 13.0  | 2587 | 0.9990          |
| 1.0428        | 14.0  | 2786 | 1.0083          |
| 1.0428        | 15.0  | 2985 | 0.9905          |
| 0.9911        | 16.0  | 3184 | 0.9492          |
| 0.9911        | 17.0  | 3383 | 0.9526          |
| 0.9391        | 18.0  | 3582 | 0.9219          |
| 0.9391        | 19.0  | 3781 | 0.9228          |
| 0.9391        | 20.0  | 3980 | 0.9183          |
| 0.9078        | 21.0  | 4179 | 0.9276          |
| 0.9078        | 22.0  | 4378 | 0.8874          |
| 0.8727        | 23.0  | 4577 | 0.8856          |
| 0.8727        | 24.0  | 4776 | 0.8899          |
| 0.8727        | 25.0  | 4975 | 0.8836          |
| 0.8513        | 26.0  | 5174 | 0.8790          |
| 0.8513        | 27.0  | 5373 | 0.8835          |
| 0.8145        | 28.0  | 5572 | 0.8583          |
| 0.8145        | 29.0  | 5771 | 0.8498          |
| 0.8145        | 30.0  | 5970 | 0.8530          |
| 0.8085        | 31.0  | 6169 | 0.8409          |
| 0.8085        | 32.0  | 6368 | 0.8196          |
| 0.7783        | 33.0  | 6567 | 0.8311          |
| 0.7783        | 34.0  | 6766 | 0.8301          |
| 0.7783        | 35.0  | 6965 | 0.8370          |
| 0.7639        | 36.0  | 7164 | 0.8321          |
| 0.7639        | 37.0  | 7363 | 0.8226          |
| 0.757         | 38.0  | 7562 | 0.8361          |
| 0.757         | 39.0  | 7761 | 0.8236          |
| 0.757         | 40.0  | 7960 | 0.8255          |
| 0.7483        | 41.0  | 8159 | 0.8305          |
| 0.7483        | 42.0  | 8358 | 0.8057          |
| 0.7449        | 43.0  | 8557 | 0.8251          |
| 0.7449        | 44.0  | 8756 | 0.8014          |
| 0.7449        | 45.0  | 8955 | 0.7996          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1