---
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
datasets:
- konnakol
model-index:
- name: Wav2Vec2 - Gopika
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Wav2Vec2 - Gopika

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the Konnakol dataset.
It achieves the following results on the evaluation set:
- eval_loss: -1.9491
- eval_wer: 0.3542
- eval_cer: 0.2777
- eval_runtime: 4.1162
- eval_samples_per_second: 5.588
- eval_steps_per_second: 0.729
- epoch: 16.6667
- step: 100

## 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: 5e-05
- 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: 300
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1