---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: distilroberta-base-finetuned-media-right
  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. -->

# distilroberta-base-finetuned-media-right

This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2664

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 148  | 1.6991          |
| No log        | 2.0   | 296  | 1.6279          |
| No log        | 3.0   | 444  | 1.5855          |
| 1.7179        | 4.0   | 592  | 1.5846          |
| 1.7179        | 5.0   | 740  | 1.5261          |
| 1.7179        | 6.0   | 888  | 1.4618          |
| 1.5059        | 7.0   | 1036 | 1.4146          |
| 1.5059        | 8.0   | 1184 | 1.4289          |
| 1.5059        | 9.0   | 1332 | 1.4022          |
| 1.5059        | 10.0  | 1480 | 1.3688          |
| 1.3326        | 11.0  | 1628 | 1.3335          |
| 1.3326        | 12.0  | 1776 | 1.3669          |
| 1.3326        | 13.0  | 1924 | 1.2971          |
| 1.1997        | 14.0  | 2072 | 1.3146          |
| 1.1997        | 15.0  | 2220 | 1.3336          |
| 1.1997        | 16.0  | 2368 | 1.2793          |
| 1.1149        | 17.0  | 2516 | 1.2469          |
| 1.1149        | 18.0  | 2664 | 1.2395          |
| 1.1149        | 19.0  | 2812 | 1.2302          |
| 1.1149        | 20.0  | 2960 | 1.2664          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0