wav2vec2_base_1.5.3

Myriam123/wav2vec2_base_1.5.3

wav2vec2_base_1.5.3 is a automatic speech recognition model from Myriam123. Use it when you need speech turned into text. It is set up for transformers.

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

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At a glance

Task: Automatic Speech Recognition
Library: transformers
Model type: wav2vec2
Access: Public
Created: Apr 25, 2024
Updated: Apr 25, 2024
SHA: 9632dba7

Model card

From the Hugging Face model README

wav2vec2_base_1.5.3

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2868
Wer: 0.2168
Cer: 0.0758

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: 0.0003
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.7186	0.89	500	0.6028	0.4056	0.1610
0.9547	1.78	1000	0.6175	0.4180	0.1697
0.8084	2.66	1500	0.4960	0.3489	0.1377
0.6525	3.55	2000	0.5084	0.3329	0.1323
0.548	4.44	2500	0.4705	0.2990	0.1166
0.4519	5.33	3000	0.4278	0.2805	0.1084
0.3772	6.22	3500	0.3823	0.2698	0.1019
0.3045	7.1	4000	0.3604	0.2528	0.0910
0.243	7.99	4500	0.3134	0.2345	0.0829
0.1969	8.88	5000	0.2982	0.2252	0.0808
0.1612	9.77	5500	0.2868	0.2168	0.0758

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
Created: Apr 25, 2024
Updated: Apr 25, 2024