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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Whisper-Timit-fineT-16
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-Timit-fineT-16
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1388
- Wer: 38.9999
## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0356 | 1.73 | 500 | 0.0982 | 61.5030 |
| 0.0022 | 3.46 | 1000 | 0.1059 | 80.2039 |
| 0.0018 | 5.19 | 1500 | 0.1167 | 47.5479 |
| 0.0002 | 6.92 | 2000 | 0.1204 | 49.5247 |
| 0.0002 | 8.65 | 2500 | 0.1280 | 51.4465 |
| 0.0001 | 10.38 | 3000 | 0.1316 | 44.9029 |
| 0.0001 | 12.11 | 3500 | 0.1345 | 42.7538 |
| 0.0001 | 13.84 | 4000 | 0.1368 | 40.0744 |
| 0.0001 | 15.57 | 4500 | 0.1382 | 40.0813 |
| 0.0001 | 17.3 | 5000 | 0.1388 | 38.9999 |
### Framework versions
- Transformers 4.28.0.dev0
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
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