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nik1509/
telugu_wav2vec_epoch_ablation_ep25

Name: telugu_wav2vec_epoch_ablation_ep25
Availability: InStock

transformers

safetensors

wav2vec2

automatic-speech-recognition

generated_from_trainer

nik1509/telugu_wav2vecmedium_basemodel

finetune

apache-2.0

endpoints_compatible

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telugu_wav2vec_epoch_ablation_ep25

This model is a fine-tuned version of nik1509/telugu_wav2vecmedium_basemodel on the None dataset. It achieves the following results on the evaluation set:

Loss: 703.8527
Wer: 0.3909
Cer: 0.1717

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 25
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
312.4594	1.0	1152	459.7653	0.4099	0.1690
302.3586	2.0	2304	468.5674	0.4050	0.1693
289.9453	3.0	3456	477.5287	0.4017	0.1677
288.2332	4.0	4608	485.9001	0.4011	0.1681
275.8906	5.0	5760	496.9809	0.4030	0.1687
274.5648	6.0	6912	508.5351	0.3988	0.1675
271.2047	7.0	8064	514.4218	0.3979	0.1670
261.6619	8.0	9216	532.3331	0.3997	0.1677
254.1264	9.0	10368	535.2019	0.3980	0.1681
257.3246	10.0	11520	542.6747	0.4019	0.1696
247.5673	11.0	12672	557.0145	0.3968	0.1683
248.6848	12.0	13824	558.0271	0.3989	0.1692
233.9358	13.0	14976	572.5629	0.3950	0.1685
230.7281	14.0	16128	583.2076	0.3961	0.1695
229.9649	15.0	17280	592.2877	0.3975	0.1702
221.502	16.0	18432	613.2135	0.3950	0.1699
216.6197	17.0	19584	622.9197	0.3941	0.1701
209.8713	18.0	20736	621.0406	0.3967	0.1713
200.4337	19.0	21888	640.5269	0.3919	0.1708
204.2565	20.0	23040	655.8564	0.3924	0.1702
199.7646	21.0	24192	662.7284	0.3964	0.1719
194.6166	22.0	25344	665.5869	0.3977	0.1726
184.2888	23.0	26496	681.8456	0.3932	0.1718
181.8787	24.0	27648	695.4276	0.3915	0.1724
176.211	25.0	28800	703.8527	0.3909	0.1717

Framework versions

Transformers 4.53.0
Pytorch 2.8.0.dev20250609+cu118
Datasets 3.6.0
Tokenizers 0.21.2

nik1509/telugu_wav2vec_epoch_ablation_ep25

telugu_wav2vec_epoch_ablation_ep25

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

nik1509/
telugu_wav2vec_epoch_ablation_ep25