---
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Santali_ASR-Model_KIIT2024_v1
  results: []
---

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# Santali_ASR-Model_KIIT2024_v1

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3670
- Wer: 0.3788

## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 5.4585        | 3.7736  | 100  | 3.0474          | 1.0    |
| 2.5982        | 7.5472  | 200  | 1.2798          | 0.8776 |
| 0.6292        | 11.3208 | 300  | 0.3650          | 0.4523 |
| 0.2969        | 15.0943 | 400  | 0.3368          | 0.4148 |
| 0.1832        | 18.8679 | 500  | 0.3493          | 0.3986 |
| 0.1209        | 22.6415 | 600  | 0.3622          | 0.3833 |
| 0.0871        | 26.4151 | 700  | 0.3670          | 0.3788 |


### Framework versions

- Transformers 4.42.0
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1