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---
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
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