sew-d-mid-400k-librispeech-clean-100h-ft

patrickvonplaten/sew-d-mid-400k-librispeech-clean-100h-ft

sew-d-mid-400k-librispeech-clean-100h-ft is a automatic speech recognition model from patrickvonplaten. 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: sew-d
Access: Public
Created: Mar 2, 2022
Updated: Oct 27, 2021
SHA: 4ae68de4

Model card

From the Hugging Face model README

sew-d-mid-400k-librispeech-clean-100h-ft

This model is a fine-tuned version of asapp/sew-d-mid-400k on the LIBRISPEECH_ASR - CLEAN dataset. It achieves the following results on the evaluation set:

Loss: 2.3540
Wer: 1.0536

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: 3e-05
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 32
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
7.319	0.11	100	11.0572	1.0
3.6726	0.22	200	4.2003	1.0
2.981	0.34	300	3.5742	0.9919
2.9411	0.45	400	3.2599	1.0
2.903	0.56	500	2.9350	1.0
2.8597	0.67	600	2.9514	1.0
2.7771	0.78	700	2.8521	1.0
2.7926	0.9	800	2.7821	1.0120
2.6623	1.01	900	2.7027	0.9924
2.5893	1.12	1000	2.6667	1.0240
2.5733	1.23	1100	2.6341	1.0368
2.5455	1.35	1200	2.5928	1.0411
2.4919	1.46	1300	2.5695	1.0817
2.5182	1.57	1400	2.5559	1.1072
2.4766	1.68	1500	2.5229	1.1257
2.4267	1.79	1600	2.4991	1.1151
2.3919	1.91	1700	2.4768	1.1139
2.3883	2.02	1800	2.4452	1.0636
2.3737	2.13	1900	2.4304	1.0594
2.3569	2.24	2000	2.4095	1.0539
2.3641	2.35	2100	2.3997	1.0511
2.3281	2.47	2200	2.3856	1.0414
2.2912	2.58	2300	2.3750	1.0696
2.3028	2.69	2400	2.3684	1.0436
2.2906	2.8	2500	2.3613	1.0538
2.2822	2.91	2600	2.3558	1.0506

Framework versions

Transformers 4.12.0.dev0
Pytorch 1.9.0+cu111
Datasets 1.13.4.dev0
Tokenizers 0.10.3

Task: Automatic Speech Recognition
Library: transformers
Type: sew-d
License: apache-2.0
Created: Mar 2, 2022
Updated: Oct 27, 2021