---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: distilroberta-base-finetuned-media-left
  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-left

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: 1.1486

## 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   | 146  | 1.6589          |
| No log        | 2.0   | 292  | 1.5801          |
| No log        | 3.0   | 438  | 1.5258          |
| 1.7336        | 4.0   | 584  | 1.4607          |
| 1.7336        | 5.0   | 730  | 1.4002          |
| 1.7336        | 6.0   | 876  | 1.4025          |
| 1.4357        | 7.0   | 1022 | 1.3493          |
| 1.4357        | 8.0   | 1168 | 1.3449          |
| 1.4357        | 9.0   | 1314 | 1.3117          |
| 1.4357        | 10.0  | 1460 | 1.2954          |
| 1.2491        | 11.0  | 1606 | 1.3056          |
| 1.2491        | 12.0  | 1752 | 1.2601          |
| 1.2491        | 13.0  | 1898 | 1.2488          |
| 1.1171        | 14.0  | 2044 | 1.2119          |
| 1.1171        | 15.0  | 2190 | 1.2133          |
| 1.1171        | 16.0  | 2336 | 1.1962          |
| 1.1171        | 17.0  | 2482 | 1.1902          |
| 1.0375        | 18.0  | 2628 | 1.1545          |
| 1.0375        | 19.0  | 2774 | 1.1702          |
| 1.0375        | 20.0  | 2920 | 1.1486          |


### Framework versions

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