medxcribe/whisper-base.en
By medxcribe · ↓ 0 · ♥ 0 · Updated 2024-12-30
What's in this repo
This page lists the files in medxcribe/whisper-base.en, including decoder_model.onnx, decoder_model_bnb4.onnx, decoder_model_fp16.onnx and more.
- 28 ONNX models (.onnx files)
- 40 files, including 28 .onnx, 6 .json, 2 .0, 1 .md, 1 .safetensors, 1 .bin
- Last updated 2024-12-30
ONNX files
| File | Size | Download |
|---|---|---|
| onnx/decoder_model.onnx | — | Download |
| onnx/decoder_model_bnb4.onnx | — | Download |
| onnx/decoder_model_fp16.onnx | — | Download |
| onnx/decoder_model_int8.onnx | — | Download |
| onnx/decoder_model_merged.onnx | — | Download |
| onnx/decoder_model_merged_bnb4.onnx | — | Download |
| onnx/decoder_model_merged_fp16.onnx | — | Download |
| onnx/decoder_model_merged_int8.onnx | — | Download |
| onnx/decoder_model_merged_q4.onnx | — | Download |
| onnx/decoder_model_merged_quantized.onnx | — | Download |
Showing 10 of 28 .onnx files — see the full file list on the right.
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
whisper-base-en
This model was trained from OpenAI/Whisper-base-en on the Medical Audios dataset.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.35.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.15.2
Model info
Created: 2024-11-26
Updated: 2024-12-30
View on Hugging FaceFiles (40)
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