whisper-medium-ft-GPT_2 – AI Model by adityarra07 | AlphaNeural AI

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adityarra07/
whisper-medium-ft-GPT_2

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automatic-speech-recognition

generated_from_trainer

openai/whisper-medium

endpoints_compatible

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whisper-medium-ft-GPT_2

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

Loss: 0.2050
Wer: 16.5802
Gpt: 8.8352

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Gpt
0.6033	1.0	188	0.2203	22.8603	8.5556
0.116	2.0	376	0.1960	15.4966	8.7544
0.0392	3.0	564	0.1955	14.0854	8.9071
0.0155	4.0	752	0.2029	16.9373	8.7654
0.0052	5.0	940	0.2053	16.7842	8.6612
0.0015	6.0	1128	0.2050	16.5802	8.8352

Framework versions

Transformers 4.33.1
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3