---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: mms-1b-all-archimob-100
  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-1b-all-archimob-100

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.6713
- 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: 0.001
- train_batch_size: 32
- eval_batch_size: 16
- 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: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 3    | 6.4551          | 1.3270 |
| No log        | 2.0   | 6    | 3.6504          | 0.9937 |
| No log        | 3.0   | 9    | 4.8854          | 1.0    |
| No log        | 4.0   | 12   | 4.6713          | 1.0    |


### Framework versions

- Transformers 4.38.2
- Pytorch 1.10.0a0+0aef44c
- Datasets 2.18.0
- Tokenizers 0.15.2