wav2vec2-base-finetune-v2-flickr8k

sethilakshay/wav2vec2-base-finetune-v2-flickr8k

wav2vec2-base-finetune-v2-flickr8k is a automatic speech recognition model from sethilakshay. 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: wav2vec2
Access: Public
Created: Apr 4, 2023
Updated: Apr 5, 2023
SHA: 395edbe3

Model card

From the Hugging Face model README

wav2vec2-base-finetune-v2-flickr8k

This model is a fine-tuned version of facebook/wav2vec2-base-960h on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1698
Wer: 0.1382

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: 12
eval_batch_size: 2
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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.7995	1.6	1000	0.2923	0.2001
0.2981	3.2	2000	0.2247	0.1525
0.2125	4.8	3000	0.1827	0.1490
0.2156	6.4	4000	0.2009	0.1445
0.2783	8.0	5000	0.1678	0.1412
0.1561	9.6	6000	0.1698	0.1382

Framework versions

Transformers 4.27.4
Pytorch 2.0.0
Datasets 2.11.0
Tokenizers 0.13.2

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Apr 4, 2023
Updated: Apr 5, 2023