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

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: 1.3850

## 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   | 38   | 1.6960          |
| No log        | 2.0   | 76   | 1.5674          |
| No log        | 3.0   | 114  | 1.5541          |
| No log        | 4.0   | 152  | 1.5729          |
| No log        | 5.0   | 190  | 1.5164          |
| No log        | 6.0   | 228  | 1.5343          |
| No log        | 7.0   | 266  | 1.5232          |
| No log        | 8.0   | 304  | 1.4354          |
| No log        | 9.0   | 342  | 1.4203          |
| No log        | 10.0  | 380  | 1.3526          |
| No log        | 11.0  | 418  | 1.3911          |
| No log        | 12.0  | 456  | 1.4522          |
| No log        | 13.0  | 494  | 1.4324          |
| 1.4666        | 14.0  | 532  | 1.3606          |
| 1.4666        | 15.0  | 570  | 1.3669          |
| 1.4666        | 16.0  | 608  | 1.3420          |
| 1.4666        | 17.0  | 646  | 1.3544          |
| 1.4666        | 18.0  | 684  | 1.3346          |
| 1.4666        | 19.0  | 722  | 1.3747          |
| 1.4666        | 20.0  | 760  | 1.3850          |


### Framework versions

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