---
license: cc-by-nc-4.0
tags:
- generated_from_trainer
base_model: facebook/mms-1b-all
datasets:
- cs224s
metrics:
- wer
model-index:
- name: mms1b-finetuned-somali-2
  results:
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: cs224s
      type: cs224s
      config: default
      split: validation
      args: default
    metrics:
    - type: wer
      value: 0.7171474358974359
      name: Wer
---

<!-- 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. -->

# mms1b-finetuned-somali-2

This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the cs224s dataset.
It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 0.7171

## 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: 64
- 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: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 6.6588        | 0.0621 | 10   | inf             | 1.0780 |
| 4.564         | 0.1242 | 20   | inf             | 1.0011 |
| 3.0343        | 0.1863 | 30   | inf             | 0.9997 |
| 0.0           | 0.2484 | 40   | inf             | 1.0    |
| 2.7924        | 0.3106 | 50   | inf             | 1.0    |
| 2.4904        | 0.3727 | 60   | inf             | 0.9960 |
| 1.9781        | 0.4348 | 70   | inf             | 0.7764 |
| 0.0           | 0.4969 | 80   | inf             | 0.7893 |
| 1.2978        | 0.5590 | 90   | inf             | 0.7252 |
| 1.3457        | 0.6211 | 100  | inf             | 0.7145 |
| 1.7188        | 0.6832 | 110  | inf             | 0.6912 |
| 0.0           | 0.7453 | 120  | inf             | 0.7086 |
| 1.3715        | 0.8075 | 130  | inf             | 0.9119 |
| 1.09          | 0.8696 | 140  | inf             | 0.7236 |
| 1.7369        | 0.9317 | 150  | inf             | 0.7123 |
| 0.0           | 0.9938 | 160  | inf             | 0.7171 |


### Framework versions

- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1