---
tags:
- generated_from_trainer
base_model: microsoft/wavlm-base
metrics:
- wer
model-index:
- name: wavlm_torgo_0H_1
  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_1

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: 4.4358
- 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: 8

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Wer |
|:-------------:|:------:|:-----:|:---------------:|:---:|
| 3.6461        | 0.8365 | 2000  | 4.2106          | 1.0 |
| 3.5846        | 1.6729 | 4000  | 4.5378          | 1.0 |
| 3.563         | 2.5094 | 6000  | 4.9692          | 1.0 |
| 3.5338        | 3.3459 | 8000  | 4.5362          | 1.0 |
| 3.7176        | 4.1824 | 10000 | 4.3354          | 1.0 |
| 3.7041        | 5.0188 | 12000 | 4.4317          | 1.0 |
| 3.5544        | 5.8553 | 14000 | 4.3316          | 1.0 |
| 3.5242        | 6.6918 | 16000 | 4.4173          | 1.0 |
| 3.5293        | 7.5282 | 18000 | 4.4358          | 1.0 |


### Framework versions

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