---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper-medium-BTC
  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-BTC

This model is a fine-tuned version of [openai/whisper-medium.en](https://huggingface.co/openai/whisper-medium.en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3882
- Wer: 6.6247

## 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: 4e-07
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- training_steps: 350
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.8163        | 1.01  | 25   | 0.8356          | 10.0635 |
| 0.7916        | 2.02  | 50   | 0.8102          | 9.7351  |
| 0.7563        | 3.03  | 75   | 0.7621          | 9.5088  |
| 0.7154        | 4.05  | 100  | 0.7107          | 9.2337  |
| 0.6548        | 5.06  | 125  | 0.6589          | 9.3801  |
| 0.6017        | 7.01  | 150  | 0.6062          | 9.0074  |
| 0.5333        | 8.02  | 175  | 0.5347          | 8.6214  |
| 0.4493        | 9.03  | 200  | 0.4738          | 8.2842  |
| 0.4016        | 10.04 | 225  | 0.4333          | 7.1172  |
| 0.3738        | 11.05 | 250  | 0.4057          | 6.7001  |
| 0.3544        | 13.01 | 275  | 0.3882          | 6.6247  |
| 0.3294        | 14.02 | 300  | 0.3764          | 6.6957  |
| 0.313         | 15.03 | 325  | 0.3692          | 6.6602  |
| 0.3023        | 16.04 | 350  | 0.3668          | 6.6468  |


### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.9.1.dev0
- Tokenizers 0.13.2