---
library_name: transformers
license: apache-2.0
base_model: openai/whisper-medium
tags:
- generated_from_trainer
model-index:
- name: whisper-medium-ta-en
  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. -->

# whisper-medium-ta-en

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1186
- Bleu Score: 0.0

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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
- training_steps: 3000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Bleu Score |
|:-------------:|:-------:|:----:|:---------------:|:----------:|
| 0.1809        | 2.9412  | 250  | 0.0752          | 0.0        |
| 0.0082        | 5.8824  | 500  | 0.0883          | 0.0053     |
| 0.0008        | 8.8235  | 750  | 0.0959          | 0.0039     |
| 0.0003        | 11.7647 | 1000 | 0.1009          | 0.0045     |
| 0.0002        | 14.7059 | 1250 | 0.1052          | 0.0        |
| 0.0002        | 17.6471 | 1500 | 0.1089          | 0.0        |
| 0.0001        | 20.5882 | 1750 | 0.1119          | 0.0032     |
| 0.0001        | 23.5294 | 2000 | 0.1147          | 0.0        |
| 0.0001        | 26.4706 | 2250 | 0.1163          | 0.0        |
| 0.0001        | 29.4118 | 2500 | 0.1175          | 0.0        |
| 0.0001        | 32.3529 | 2750 | 0.1182          | 0.0        |
| 0.0001        | 35.2941 | 3000 | 0.1186          | 0.0        |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0