---
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: MMS_Quechua_finetuned
  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. -->

# MMS_Quechua_finetuned

This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4424
- Wer: 0.3950

## 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: 0.001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use 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: 100
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 5.7203        | 0.1355 | 100  | 0.7301          | 0.6115 |
| 0.731         | 0.2710 | 200  | 0.5409          | 0.4553 |
| 0.5859        | 0.4065 | 300  | 0.5124          | 0.4280 |
| 0.549         | 0.5420 | 400  | 0.4815          | 0.4170 |
| 0.5341        | 0.6775 | 500  | 0.4720          | 0.4051 |
| 1.0055        | 0.8130 | 600  | 0.4601          | 0.4095 |
| 0.4943        | 0.9485 | 700  | 0.4424          | 0.3950 |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3