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zacdan4801/
wav2vec2-lv-60-espeak-cv-ft-phocab-ds-f9

Name: wav2vec2-lv-60-espeak-cv-ft-phocab-ds-f9
Availability: InStock

automatic-speech-recognition

generated_from_trainer

facebook/wav2vec2-lv-60-espeak-cv-ft

finetune

apache-2.0

endpoints_compatible

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wav2vec2-lv-60-espeak-cv-ft-phocab-ds-f9

This model is a fine-tuned version of facebook/wav2vec2-lv-60-espeak-cv-ft on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2067
Per: 0.0492

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: 3e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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	Per
17.1411	0.7194	400	4.5361	1.0
4.4048	1.4388	800	4.0488	1.0
3.9812	2.1583	1200	3.3067	0.9728
2.9259	2.8777	1600	1.3671	0.2703
1.9138	3.5971	2000	0.7594	0.1203
1.4763	4.3165	2400	0.5102	0.0792
1.2803	5.0360	2800	0.4048	0.0671
1.1289	5.7554	3200	0.3482	0.0634
1.0755	6.4748	3600	0.3161	0.0640
0.9736	7.1942	4000	0.2845	0.0595
0.9414	7.9137	4400	0.2674	0.0577
0.8791	8.6331	4800	0.2651	0.0595
0.8393	9.3525	5200	0.2498	0.0570
0.8256	10.0719	5600	0.2530	0.0568
0.8188	10.7914	6000	0.2486	0.0570
0.7922	11.5108	6400	0.2479	0.0559
0.7727	12.2302	6800	0.2359	0.0531
0.7375	12.9496	7200	0.2341	0.0531
0.7358	13.6691	7600	0.2313	0.0507
0.7385	14.3885	8000	0.2277	0.0539
0.7057	15.1079	8400	0.2268	0.0518
0.7045	15.8273	8800	0.2284	0.0516
0.7045	16.5468	9200	0.2218	0.0501
0.6984	17.2662	9600	0.2184	0.0482
0.6862	17.9856	10000	0.2173	0.0513
0.6638	18.7050	10400	0.2185	0.0499
0.6812	19.4245	10800	0.2144	0.0526
0.6678	20.1439	11200	0.2166	0.0521
0.6536	20.8633	11600	0.2184	0.0518
0.652	21.5827	12000	0.2139	0.0507
0.6638	22.3022	12400	0.2113	0.0507
0.6431	23.0216	12800	0.2111	0.0495
0.642	23.7410	13200	0.2098	0.0524
0.6266	24.4604	13600	0.2083	0.0497
0.6392	25.1799	14000	0.2104	0.0491
0.6188	25.8993	14400	0.2113	0.0491
0.6002	26.6187	14800	0.2096	0.0501
0.6279	27.3381	15200	0.2081	0.0502
0.6099	28.0576	15600	0.2079	0.0505
0.6174	28.7770	16000	0.2063	0.0501
0.6269	29.4964	16400	0.2067	0.0492

Framework versions

Transformers 4.57.6
Pytorch 2.9.1+cu128
Datasets 4.5.0
Tokenizers 0.22.2

zacdan4801/wav2vec2-lv-60-espeak-cv-ft-phocab-ds-f9

wav2vec2-lv-60-espeak-cv-ft-phocab-ds-f9

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

zacdan4801/
wav2vec2-lv-60-espeak-cv-ft-phocab-ds-f9