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Hanhpt23/
whisper-tiny-Encod-vietmed

Name: whisper-tiny-Encod-vietmed
Availability: InStock

transformers

safetensors

whisper

automatic-speech-recognition

generated_from_trainer

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openai/whisper-tiny

This model is a fine-tuned version of openai/whisper-tiny on the pphuc25/VietMed-split-8-2 dataset. It achieves the following results on the evaluation set:

Loss: 0.6416
Wer: 26.7911

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: 0.0001
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: 50
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.7416	1.0	569	0.7561	40.3185
0.4787	2.0	1138	0.6551	32.1069
0.2957	3.0	1707	0.6232	28.3214
0.1518	4.0	2276	0.6416	26.7911

Framework versions

Transformers 4.41.1
Pytorch 2.3.0
Datasets 2.19.1
Tokenizers 0.19.1

Hanhpt23/whisper-tiny-Encod-vietmed

openai/whisper-tiny

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Hanhpt23/
whisper-tiny-Encod-vietmed