distil_whisper_til
This model is a fine-tuned version of distil-whisper/distil-large-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0001
- eval_wer: 0.0083
- eval_runtime: 1661.951
- eval_samples_per_second: 2.106
- eval_steps_per_second: 0.264
- epoch: 1.5982
- step: 700
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: 8
- 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: 10
- training_steps: 4000
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for jimjakdiend/distil_whisper_til
Base model
distil-whisper/distil-large-v2