---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tamil_eng_data
model-index:
- name: ta-eng-data
  results: []
---

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

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the tamil_eng_data dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.7665
- eval_wer: 1028.9814
- eval_runtime: 1515.9272
- eval_samples_per_second: 0.479
- eval_steps_per_second: 0.03
- epoch: 3.02
- 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 500
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.9.1.dev0
- Tokenizers 0.13.2