asr_en_model

mallikrao2/asr_en_model

asr_en_model is a automatic speech recognition model from mallikrao2. 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: Jan 4, 2023
Updated: Jan 5, 2023
SHA: 7d8bb96a

Model card

From the Hugging Face model README

asr_en_model

This model is a fine-tuned version of facebook/wav2vec2-large-960h-lv60-self on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0593
Wer: 0.1522

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: 36
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: 1000
num_epochs: 25

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
6.7979	4.5	500	2.4200	0.9999
0.5517	9.01	1000	0.0731	0.1567
0.1188	13.51	1500	0.0645	0.1535
0.0826	18.02	2000	0.0626	0.1528
0.0627	22.52	2500	0.0593	0.1522

Framework versions

Transformers 4.11.3
Pytorch 1.13.1+cu117
Datasets 1.14.0
Tokenizers 0.10.3

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