finetune_indian_asr

This model is a fine-tuned version of Harveenchadha/vakyansh-wav2vec2-indian-english-enm-700 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4215
• Wer: 0.3403

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: 32
• 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: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
5.0566	3.45	500	2.9944	1.0
2.7241	6.9	1000	1.4455	0.7654
0.9755	10.34	1500	0.4299	0.4034
0.4624	13.79	2000	0.3628	0.3297
0.3158	17.24	2500	0.3835	0.2952
0.2604	20.69	3000	0.3802	0.2877
0.2	24.14	3500	0.3842	0.2799
1.7441	27.59	4000	0.4215	0.3403

Framework versions

• Transformers 4.17.0
• Pytorch 1.10.0+cu111
• Datasets 2.0.0
• Tokenizers 0.11.6