---
library_name: transformers
license: apache-2.0
base_model: facebook/hubert-large-ls960-ft
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: output
  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. -->

# output

This model is a fine-tuned version of [facebook/hubert-large-ls960-ft](https://huggingface.co/facebook/hubert-large-ls960-ft) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3931
- Wer: 1.0
- Cer: 0.9944

## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer | Cer    |
|:-------------:|:------:|:----:|:---------------:|:---:|:------:|
| 7.136         | 0.3279 | 20   | 3.5020          | 1.0 | 0.9944 |
| 3.4969        | 0.6557 | 40   | 3.4605          | 1.0 | 0.9944 |
| 3.4509        | 0.9836 | 60   | 3.4172          | 1.0 | 0.9944 |
| 3.4449        | 1.3115 | 80   | 3.4042          | 1.0 | 0.9944 |
| 3.4074        | 1.6393 | 100  | 3.3931          | 1.0 | 0.9944 |
| 3.4072        | 1.9672 | 120  | 3.3931          | 1.0 | 0.9944 |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0