temp2

This model is a fine-tuned version of hts98/whisper-medium-1113 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2826
• Wer: 100.0

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: 1e-05
• train_batch_size: 12
• eval_batch_size: 12
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 30
• training_steps: 200
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1889	1.9	40	0.2826	100.0
0.0319	3.81	80	0.3053	100.0
0.0171	5.71	120	0.3166	100.0
0.0067	7.62	160	0.3201	100.0
0.0021	9.52	200	0.3212	100.0

Framework versions

• Transformers 4.29.0.dev0
• Pytorch 2.0.0+cu117
• Datasets 2.7.0
• Tokenizers 0.13.3