large_finetune_M01

mprzibilla/large_finetune_M01

large_finetune_M01 is a automatic speech recognition model from mprzibilla. 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: Oct 17, 2022
Updated: Oct 20, 2022
SHA: b204923c

Model card

From the Hugging Face model README

large_finetune_M01

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

Loss: 1.9064
Wer: 0.5667

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: 0.0001
train_batch_size: 15
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: 75
num_epochs: 250
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.1813	25.0	150	1.6666	0.8667
1.0121	50.0	300	1.6864	0.7667
0.0471	75.0	450	1.1663	0.6333
0.0524	100.0	600	1.6732	0.7
0.0205	125.0	750	1.9236	0.5667
0.0156	150.0	900	1.8241	0.5
0.0069	175.0	1050	1.6829	0.5
0.007	200.0	1200	1.9494	0.6
0.0022	225.0	1350	2.0226	0.5667
0.0017	250.0	1500	1.9064	0.5667

Framework versions

Transformers 4.18.0
Pytorch 1.10.2+cu102
Datasets 2.3.2
Tokenizers 0.12.1

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
Created: Oct 17, 2022
Updated: Oct 20, 2022