---
base_model: openai/whisper-large-v2
datasets:
- mozilla-foundation/common_voice_11_0
language:
- hi
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: LSP_ASR
  results: []
---

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

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1913

## 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: 0.001
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2329        | 1.0   | 491  | 0.2707          |
| 0.1468        | 2.0   | 982  | 0.2118          |
| 0.0747        | 3.0   | 1473 | 0.1913          |


### Framework versions

- PEFT 0.13.3.dev0
- Transformers 4.47.0.dev0
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0