whisper-base_trained

xinei/whisper-base_trained

whisper-base_trained is a automatic speech recognition model from xinei. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Automatic Speech Recognition
Library: transformers
License: apache-2.0
Model type: whisper
Access: Public
Created: Oct 23, 2023
Updated: Oct 24, 2023
SHA: b187f7be

Base models

openai/whisper-base

Model card

From the Hugging Face model README

whisper-base_trained

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

Loss: 0.5384
Wer: 150.0

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: 2
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
training_steps: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.5874	4.0	6	2.2372	150.0
1.1083	8.0	12	1.4557	150.0
0.6359	12.0	18	1.0874	150.0
0.2396	16.0	24	0.8668	200.0
0.056	20.0	30	0.7220	150.0
0.0147	24.0	36	0.6112	200.0
0.0055	28.0	42	0.5606	200.0
0.0037	32.0	48	0.5384	150.0

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.5
Tokenizers 0.14.1

Task: Automatic Speech Recognition
Library: transformers
Type: whisper
License: apache-2.0
Created: Oct 23, 2023
Updated: Oct 24, 2023