speech – AI Model by tluo23 | AlphaNeural AI

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tluo23/
speech

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automatic-speech-recognition

generated_from_trainer

librispeech_asr

openai/whisper-small

endpoints_compatible

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SpeechGPT

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

Loss: 0.0813
Wer: 2.8093

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0956	0.12	1000	0.1065	3.6519
0.1002	0.24	2000	0.0997	3.5453
0.0841	0.36	3000	0.0941	3.3057
0.0839	0.48	4000	0.0905	3.1783
0.0821	0.6	5000	0.0855	2.9595
0.0626	0.72	6000	0.0839	2.9310
0.0643	0.84	7000	0.0821	2.8112
0.0908	0.97	8000	0.0813	2.8093

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.19.0
Tokenizers 0.15.2