File size: 2,466 Bytes
e78bd9e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 |
---
library_name: transformers
language:
- es
license: apache-2.0
base_model: openai/whisper-small
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- atc-co-spanish
metrics:
- wer
model-index:
- name: whisper-small-atc-co-spanish
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: atc-co-spanish
type: atc-co-spanish
args: 'config: es, split: train'
metrics:
- name: Wer
type: wer
value: 55.55555555555556
---
<!-- 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-atc-co-spanish
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the atc-co-spanish dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4043
- Wer: 55.5556
## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 500
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:--------:|:----:|:---------------:|:-------:|
| 1.5633 | 14.2857 | 50 | 1.7417 | 65.0794 |
| 0.2582 | 28.5714 | 100 | 1.3265 | 60.3175 |
| 0.0009 | 42.8571 | 150 | 1.2653 | 52.3810 |
| 0.0003 | 57.1429 | 200 | 1.3243 | 53.9683 |
| 0.0002 | 71.4286 | 250 | 1.3494 | 53.9683 |
| 0.0002 | 85.7143 | 300 | 1.3700 | 53.9683 |
| 0.0001 | 100.0 | 350 | 1.3853 | 55.5556 |
| 0.0001 | 114.2857 | 400 | 1.3966 | 55.5556 |
| 0.0001 | 128.5714 | 450 | 1.4019 | 55.5556 |
| 0.0001 | 142.8571 | 500 | 1.4043 | 55.5556 |
### Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
|