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In adapter_config.json: "peft.task_type" must be a string
output_0408
This model is a fine-tuned version of openai/whisper-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3882
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: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.412 | 1.14 | 25 | 1.4146 |
| 1.3417 | 2.27 | 50 | 1.4030 |
| 1.428 | 3.41 | 75 | 1.3925 |
| 1.368 | 4.55 | 100 | 1.3882 |
Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for shtapm/output_0408
Base model
openai/whisper-large