metadata
language:
- zh
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- google/fleurs
model-index:
- name: Whisper Tiny Chinese - Tommy
results: []
Whisper Tiny Chinese - Tommy
This model is a fine-tuned version of openai/whisper-tiny on the google fleurs dataset. It achieves the following results on the evaluation set:
- Loss: 2.0604
- Cer: 686.3631
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: 100
- training_steps: 3500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 2.7861 | 2.18 | 500 | 2.9273 | 541.9488 |
| 2.2443 | 4.37 | 1000 | 2.5364 | 440.6712 |
| 1.9019 | 6.55 | 1500 | 2.3037 | 705.8989 |
| 1.6275 | 8.73 | 2000 | 2.1769 | 746.9195 |
| 1.4541 | 10.92 | 2500 | 2.1022 | 756.6663 |
| 1.3193 | 13.1 | 3000 | 2.0731 | 699.0618 |
| 1.2989 | 15.28 | 3500 | 2.0604 | 686.3631 |
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0