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akashsivanandan/
wav2vec2-large-xls-r-300m-tamil-colab-final

Name: wav2vec2-large-xls-r-300m-tamil-colab-final
Availability: InStock

automatic-speech-recognition

generated_from_trainer

common_voice

apache-2.0

endpoints_compatible

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wav2vec2-large-xls-r-300m-tamil-colab-final

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:

Loss: 0.7539
Wer: 0.6135

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: 0.0003
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
11.1466	1.0	118	4.3444	1.0
3.4188	2.0	236	3.2496	1.0
2.8617	3.0	354	1.6165	1.0003
0.958	4.0	472	0.7984	0.8720
0.5929	5.0	590	0.6733	0.7831
0.4628	6.0	708	0.6536	0.7621
0.3834	7.0	826	0.6037	0.7155
0.3242	8.0	944	0.6376	0.7184
0.2736	9.0	1062	0.6214	0.7070
0.2433	10.0	1180	0.6158	0.6944
0.2217	11.0	1298	0.6548	0.6830
0.1992	12.0	1416	0.6331	0.6775
0.1804	13.0	1534	0.6644	0.6874
0.1639	14.0	1652	0.6629	0.6649
0.143	15.0	1770	0.6927	0.6836
0.1394	16.0	1888	0.6933	0.6888
0.1296	17.0	2006	0.7039	0.6860
0.1212	18.0	2124	0.7042	0.6628
0.1121	19.0	2242	0.7132	0.6475
0.1069	20.0	2360	0.7423	0.6438
0.1063	21.0	2478	0.7171	0.6484
0.1025	22.0	2596	0.7396	0.6451
0.0946	23.0	2714	0.7400	0.6432
0.0902	24.0	2832	0.7385	0.6286
0.0828	25.0	2950	0.7368	0.6286
0.079	26.0	3068	0.7471	0.6306
0.0747	27.0	3186	0.7524	0.6201
0.0661	28.0	3304	0.7576	0.6201
0.0659	29.0	3422	0.7579	0.6130
0.0661	30.0	3540	0.7539	0.6135

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu111
Datasets 1.13.3
Tokenizers 0.10.3

akashsivanandan/wav2vec2-large-xls-r-300m-tamil-colab-final

wav2vec2-large-xls-r-300m-tamil-colab-final

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

akashsivanandan/
wav2vec2-large-xls-r-300m-tamil-colab-final