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weewtr1121/
outs

Name: outs
Availability: InStock

automatic-speech-recognition

generated_from_trainer

biodatlab/whisper-th-medium-combined

finetune

apache-2.0

endpoints_compatible

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outs

This model is a fine-tuned version of biodatlab/whisper-th-medium-combined on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0878
Cer: 5.4469

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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine_with_restarts
lr_scheduler_warmup_steps: 5000
num_epochs: 15.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.0275	0.9926	67	0.0804	4.9648
0.0359	2.0	135	0.0807	6.0688
0.0317	2.9926	202	0.0813	5.8626
0.0196	4.0	270	0.0819	4.9681
0.021	4.9926	337	0.0823	4.8683
0.0209	6.0	405	0.0831	4.8783
0.0223	6.9926	472	0.0866	5.0080
0.0173	8.0	540	0.0864	5.2541
0.0231	8.9926	607	0.0839	4.6422
0.0131	10.0	675	0.0860	5.3405
0.0134	10.9926	742	0.0899	5.2674
0.0183	12.0	810	0.0873	5.8094
0.0172	12.9926	877	0.0893	4.9215
0.0178	14.0	945	0.0855	5.7096
0.0127	14.8889	1005	0.0878	5.4469

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1

weewtr1121/outs

outs

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

weewtr1121/
outs