metadata
language:
- zh
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- Voice_Data_Collection
model-index:
- name: Whisper-Keep-train
results: []
Whisper-Keep-train
This model is a fine-tuned version of openai/whisper-small on the Voice_Data_Collection dataset. It achieves the following results on the evaluation set:
- Loss: 4.0346
- Cer: 736.0397
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: 50
- training_steps: 200
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 3.4342 | 0.8065 | 50 | 4.1335 | 275.1466 |
| 3.0912 | 1.6129 | 100 | 4.1066 | 265.1782 |
| 2.7991 | 2.4194 | 150 | 4.0602 | 318.1326 |
| 2.6758 | 3.2258 | 200 | 4.0346 | 736.0397 |
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1