---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-assamese
  results: []
---

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# wav2vec2-large-xls-r-300m-assamese

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8161
- Wer: 0.9253

## 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: 500
- num_epochs: 400
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 5.7373        | 66.67  | 400  | 2.8928          | 1.0    |
| 0.4283        | 133.33 | 800  | 2.3869          | 0.9715 |
| 0.0672        | 200.0  | 1200 | 2.6249          | 0.9431 |
| 0.0266        | 266.67 | 1600 | 2.7549          | 0.9490 |
| 0.0108        | 333.33 | 2000 | 2.7943          | 0.9229 |
| 0.0054        | 400.0  | 2400 | 2.8161          | 0.9253 |


### Framework versions

- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.13.3
- Tokenizers 0.10.3