---
language:
- bn
license: apache-2.0
base_model: bigscience/mt0-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: mt0-small-bn-to-ipa-v2
  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. -->

# mt0-small-bn-to-ipa-v2

This model is a fine-tuned version of [bigscience/mt0-small](https://huggingface.co/bigscience/mt0-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0551
- Wer: 0.0327

## 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: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.079         | 3.64  | 4000  | 0.0600          | 0.0495 |
| 0.0602        | 7.27  | 8000  | 0.0563          | 0.0434 |
| 0.042         | 10.91 | 12000 | 0.0539          | 0.0378 |
| 0.0292        | 14.55 | 16000 | 0.0542          | 0.0346 |
| 0.0212        | 18.18 | 20000 | 0.0551          | 0.0327 |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1