metadata
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
datasets:
- arrow
model-index:
- name: whisper-tiny-multitask-hf-200k-ep10_practice_0805
results: []
whisper-tiny-multitask-hf-200k-ep10_practice_0805
This model is a fine-tuned version of openai/whisper-tiny on the arrow dataset. It achieves the following results on the evaluation set:
- Loss: 0.0082
- Cer: 100.0
- Acc: 1.0
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: 5e-05
- train_batch_size: 128
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer | Acc |
|---|---|---|---|---|---|
| 0.54 | 1.0 | 1584 | 0.2232 | 100.0 | 1.0 |
| 0.1377 | 2.0 | 3168 | 0.0907 | 100.0 | 1.0 |
| 0.0538 | 3.0 | 4752 | 0.0473 | 100.0 | 1.0 |
| 0.0286 | 4.0 | 6336 | 0.0309 | 100.0 | 1.0 |
| 0.0178 | 5.0 | 7920 | 0.0214 | 100.0 | 1.0 |
| 0.011 | 6.0 | 9504 | 0.0167 | 100.0 | 1.0 |
| 0.008 | 7.0 | 11088 | 0.0130 | 100.0 | 1.0 |
| 0.0055 | 8.0 | 12672 | 0.0115 | 100.0 | 1.0 |
| 0.0038 | 9.0 | 14256 | 0.0094 | 100.0 | 1.0 |
| 0.0027 | 10.0 | 15840 | 0.0082 | 100.0 | 1.0 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0