HO_ASR-Model_KIIT2025_v1

DipsankarSinha/HO_ASR-Model_KIIT2025_v1

HO_ASR-Model_KIIT2025_v1 is a machine learning model from DipsankarSinha. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

should probably proofread and complete it, then remove this comment. --

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At a glance

Model type: wav2vec2
Access: Public
Created: Jan 23, 2025
Updated: Jan 23, 2025
SHA: ccb8bb6c

Model card

From the Hugging Face model README

HO_ASR-Model_KIIT2025

This model is a fine-tuned version of /content/HO_ASR-Model_KIIT2025/checkpoint-6250/ on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7268
Wer: 0.5447

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: 5e-05
train_batch_size: 32
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 250
num_epochs: 75
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.9609	2.0	250	2.8620	0.9958
2.3792	4.0	500	1.5657	0.8976
0.8142	6.0	750	0.8104	0.7383
0.5211	8.0	1000	0.6461	0.6508
0.4145	10.0	1250	0.5793	0.6257
0.3562	12.0	1500	0.5991	0.6315
0.3135	14.0	1750	0.5680	0.6295
0.2694	16.0	2000	0.5731	0.6139
0.2333	18.0	2250	0.6170	0.6482
0.2061	20.0	2500	0.5771	0.5852
0.1823	22.0	2750	0.5820	0.5776
0.1628	24.0	3000	0.5853	0.5793
0.1434	26.0	3250	0.6188	0.5776
0.129	28.0	3500	0.6095	0.5644
0.1185	30.0	3750	0.6210	0.5753
0.1071	32.0	4000	0.6250	0.5680
0.097	34.0	4250	0.6207	0.5636
0.0901	36.0	4500	0.6477	0.5760
0.0833	38.0	4750	0.6510	0.5666
0.0758	40.0	5000	0.6519	0.5553
0.0693	42.0	5250	0.6641	0.5549
0.0637	44.0	5500	0.6648	0.5490
0.0591	46.0	5750	0.6809	0.5535
0.0585	48.0	6000	0.6786	0.5512
0.0555	50.0	6250	0.6844	0.5516
0.0681	52.0	6500	0.6603	0.5562
0.0699	54.0	6750	0.6837	0.5565
0.0641	56.0	7000	0.6792	0.5509
0.0612	58.0	7250	0.6765	0.5508
0.0593	60.0	7500	0.6780	0.5530
0.0525	62.0	7750	0.6947	0.5460
0.0491	64.0	8000	0.7007	0.5504
0.0482	66.0	8250	0.7215	0.5572
0.0478	68.0	8500	0.7178	0.5444
0.0434	70.0	8750	0.7283	0.5465
0.042	72.0	9000	0.7203	0.5462
0.0402	74.0	9250	0.7268	0.5447

Framework versions

Transformers 4.28.0
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.13.3

Type: wav2vec2
Created: Jan 23, 2025
Updated: Jan 23, 2025