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Hanhpt23/
whisper-tiny-slisa

Name: whisper-tiny-slisa
Availability: InStock

safetensors

whisper

generated_from_trainer

Hanhpt23/whisper-tiny-smmmu

finetune

apache-2.0

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Hanhpt23/whisper-tiny-smmmu

This model is a fine-tuned version of Hanhpt23/whisper-tiny-smmmu on the Hanhpt23/SLISA dataset. It achieves the following results on the evaluation set:

Loss: 0.0002
Wer: 0.0

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: 100
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0873	1.0	30	0.0128	0.2480
0.0156	2.0	60	0.0052	3.2398
0.0062	3.0	90	0.0070	0.1705
0.0101	4.0	120	0.0349	2.4027
0.0251	5.0	150	0.0085	0.2325
0.0124	6.0	180	0.0091	0.1860
0.016	7.0	210	0.0031	0.0465
0.0039	8.0	240	0.0020	0.0465
0.0044	9.0	270	0.0003	0.0155
0.0003	10.0	300	0.0002	0.0

Framework versions

Transformers 4.41.1
Pytorch 2.3.0
Datasets 2.19.1
Tokenizers 0.19.1

Hanhpt23/whisper-tiny-slisa

Hanhpt23/whisper-tiny-smmmu

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Hanhpt23/
whisper-tiny-slisa