peft tensorboard safetensors whisper-event generated_from_trainer es dataset:mozilla-foundation/common_voice_11_0 base_model:openai/whisper-medium license:apache-2.0 model-index region:us
---
language:
- es
license: apache-2.0
library_name: peft
tags:
- whisper-event
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
base_model: openai/whisper-medium
model-index:
- name: Whisper Small Es - Sanchit Gandhi
  results:
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: Common Voice 11.0
      type: mozilla-foundation/common_voice_11_0
      split: None
    metrics:
    - type: wer
      value: 56.441337816315695
      name: Wer
---

<!-- 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 Small Es - Sanchit Gandhi

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: 2.5129
- Wer: 56.4413

## 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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 750
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 6.3605        | 2.3   | 50   | 6.2660          | 55.7247 |
| 5.3113        | 4.6   | 100  | 5.1187          | 56.4590 |
| 4.2749        | 6.9   | 150  | 4.2391          | 55.6185 |
| 3.5266        | 9.2   | 200  | 3.4143          | 53.6719 |
| 3.0671        | 11.49 | 250  | 3.1045          | 49.2037 |
| 2.8716        | 13.79 | 300  | 2.9260          | 50.7786 |
| 2.7263        | 16.09 | 350  | 2.7987          | 53.5746 |
| 2.6467        | 18.39 | 400  | 2.7079          | 55.0787 |
| 2.5624        | 20.69 | 450  | 2.6443          | 55.6008 |
| 2.5087        | 22.99 | 500  | 2.5989          | 57.3881 |
| 2.4922        | 25.29 | 550  | 2.5660          | 55.9370 |
| 2.4274        | 27.59 | 600  | 2.5421          | 56.4325 |
| 2.4337        | 29.89 | 650  | 2.5257          | 57.4058 |
| 2.3991        | 32.18 | 700  | 2.5165          | 57.0165 |
| 2.4211        | 34.48 | 750  | 2.5129          | 56.4413 |


### Framework versions

- PEFT 0.7.1
- Transformers 4.37.0.dev0
- Pytorch 2.1.0
- Datasets 2.16.2.dev0
- Tokenizers 0.15.0