---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: roberta-base-finetuned-wls-whisper-9ep
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# roberta-base-finetuned-wls-whisper-9ep

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0644

## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 9

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4644        | 1.0   | 26   | 1.2700          |
| 1.2544        | 2.0   | 52   | 1.2160          |
| 1.1825        | 3.0   | 78   | 1.1495          |
| 1.1307        | 4.0   | 104  | 1.1236          |
| 1.0694        | 5.0   | 130  | 1.1414          |
| 1.0844        | 6.0   | 156  | 1.0495          |
| 1.003         | 7.0   | 182  | 1.1201          |
| 1.0117        | 8.0   | 208  | 1.0310          |
| 0.9861        | 9.0   | 234  | 1.0368          |


### Framework versions

- Transformers 4.31.0
- Pytorch 1.11.0+cu113
- Datasets 2.14.4
- Tokenizers 0.13.3