whisper-tiny-minds-v5-numproc1 – AI Model by michaelsh | AlphaNeural AI

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michaelsh/
whisper-tiny-minds-v5-numproc1

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automatic-speech-recognition

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openai/whisper-tiny

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michaelsh/whisper-tiny-minds-v5-numproc1

This model is a fine-tuned version of openai/whisper-tiny on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:

Loss: 0.6160
Wer Ortho: 0.3635
Wer: 0.3661

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: constant_with_warmup
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
3.1128	1.0	29	1.5110	0.8028	0.7574
0.6583	2.0	58	0.5695	0.4347	0.4316
0.3271	3.0	87	0.5171	0.3945	0.3913
0.2003	4.0	116	0.5165	0.3912	0.3907
0.1189	5.0	145	0.5296	0.3819	0.3825
0.0623	6.0	174	0.5532	0.3747	0.3737
0.0326	7.0	203	0.5614	0.3865	0.3882
0.0149	8.0	232	0.6009	0.3628	0.3655
0.0093	9.0	261	0.6024	0.3707	0.3762
0.0038	10.0	290	0.6160	0.3635	0.3661

Framework versions

Transformers 4.32.0.dev0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3