---
license: apache-2.0
base_model: DrishtiSharma/wav2vec2-large-xls-r-300m-hi-CV7
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: config-0
  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. -->

# config-0

This model is a fine-tuned version of [DrishtiSharma/wav2vec2-large-xls-r-300m-hi-CV7](https://huggingface.co/DrishtiSharma/wav2vec2-large-xls-r-300m-hi-CV7) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8339
- Wer: 0.9455
- Cer: 0.5454
- Mer: 0.9402

## 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: 100
- num_epochs: 40
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer    | Cer    | Mer    |
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|
| 7.7805        | 1.0050 | 100  | 3.5031          | 1.0    | 1.0    | 1.0    |
| 3.4127        | 2.0101 | 200  | 3.4317          | 1.0    | 0.9381 | 1.0    |
| 3.3348        | 3.0151 | 300  | 3.2768          | 0.9999 | 0.9359 | 0.9999 |
| 2.763         | 4.0201 | 400  | 1.8339          | 0.9455 | 0.5454 | 0.9402 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1