---
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
datasets:
- common_voice_16_1
model-index:
- name: xlsr_hindi_LMless_300m
  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. -->

# xlsr_hindi_LMless_300m

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_16_1 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9207
- Wer : 0.4042

## 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: 10
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 30
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 11.7707       | 3.6145  | 200  | 3.6870          | 1.0    |
| 3.047         | 7.2289  | 400  | 1.6327          | 0.8998 |
| 0.8469        | 10.8434 | 600  | 0.9648          | 0.5696 |
| 0.3949        | 14.4578 | 800  | 0.8641          | 0.4718 |
| 0.2465        | 18.0723 | 1000 | 0.8983          | 0.4442 |
| 0.1692        | 21.6867 | 1200 | 0.9318          | 0.4260 |
| 0.1307        | 25.3012 | 1400 | 0.9252          | 0.4097 |
| 0.1041        | 28.9157 | 1600 | 0.9207          | 0.4042 |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1