---
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: shqip-mms-3
  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. -->

# shqip-mms-3

This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co./facebook/mms-1b-all) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4195
- Wer: 0.3447

## 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: 32
- 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: 100
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.5717        | 0.31  | 300  | 0.9548          | 0.7373 |
| 0.7823        | 0.63  | 600  | 0.7372          | 0.5886 |
| 0.6863        | 0.94  | 900  | 0.6122          | 0.5261 |
| 0.5908        | 1.25  | 1200 | 0.5215          | 0.4440 |
| 0.5237        | 1.57  | 1500 | 0.4693          | 0.3987 |
| 0.4662        | 1.88  | 1800 | 0.4195          | 0.3447 |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.1.0.dev20230810
- Datasets 2.14.3
- Tokenizers 0.13.3