wav2vec2-tcrs

neelan-elucidate-ai/wav2vec2-tcrs

wav2vec2-tcrs is a automatic speech recognition model from neelan-elucidate-ai. 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: May 4, 2022
Updated: May 7, 2022
SHA: 32ea87c3

Model card

From the Hugging Face model README

wav2vec2-tcrs

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

Loss: 2.9550
Wer: 1.0657

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: 1
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: 100
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
13.6613	3.38	500	3.2415	1.0
2.9524	6.76	1000	3.0199	1.0
2.9425	10.14	1500	3.0673	1.0
2.9387	13.51	2000	3.0151	1.0
2.9384	16.89	2500	3.0320	1.0
2.929	20.27	3000	2.9691	1.0
2.9194	23.65	3500	2.9596	1.0
2.9079	27.03	4000	2.9279	1.0
2.8957	30.41	4500	2.9647	1.0
2.8385	33.78	5000	2.8114	1.0193
2.6546	37.16	5500	2.6744	1.0983
2.5866	40.54	6000	2.6192	1.1071
2.5475	43.92	6500	2.5777	1.0950
2.5177	47.3	7000	2.5845	1.1220
2.482	50.68	7500	2.5730	1.1264
2.4343	54.05	8000	2.5722	1.0955
2.3754	57.43	8500	2.5781	1.1353
2.3055	60.81	9000	2.6177	1.0972
2.2446	64.19	9500	2.6351	1.1027
2.1625	67.57	10000	2.6924	1.0756
2.1078	70.95	10500	2.6817	1.0795
2.0366	74.32	11000	2.7629	1.0657
1.9899	77.7	11500	2.7972	1.0845
1.9309	81.08	12000	2.8450	1.0734
1.8861	84.46	12500	2.8703	1.0668
1.8437	87.84	13000	2.9308	1.0917
1.8192	91.22	13500	2.9298	1.0701
1.7952	94.59	14000	2.9488	1.0685
1.7745	97.97	14500	2.9550	1.0657

Framework versions

Transformers 4.11.3
Pytorch 1.9.1
Datasets 1.18.3
Tokenizers 0.10.3

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: May 4, 2022
Updated: May 7, 2022