---
base_model: microsoft/wavlm-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wavlm_torgo_0H
  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. -->

# wavlm_torgo_0H

This model is a fine-tuned version of [microsoft/wavlm-base](https://huggingface.co/microsoft/wavlm-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.2232
- Wer: 1.0

## 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: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:---:|
| 35.3869       | 0.1882 | 500  | 5.7758          | 1.0 |
| 4.2078        | 0.3764 | 1000 | 4.3393          | 1.0 |
| 3.9747        | 0.5645 | 1500 | 4.3099          | 1.0 |
| 3.5744        | 0.7527 | 2000 | 4.1995          | 1.0 |
| 3.6577        | 0.9409 | 2500 | 4.2232          | 1.0 |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1