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zacdan4801/
wav2vec2-lv-60-espeak-cv-ft-phocab-ds-f8

Name: wav2vec2-lv-60-espeak-cv-ft-phocab-ds-f8
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-f8

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: 0.2236
Per: 0.0494

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
17.2204	0.7194	400	4.5279	1.0
4.398	1.4388	800	4.0342	1.0
3.9803	2.1583	1200	3.2075	0.9099
2.8604	2.8777	1600	1.2499	0.2216
1.8787	3.5971	2000	0.7084	0.1068
1.464	4.3165	2400	0.4838	0.0780
1.272	5.0360	2800	0.3931	0.0691
1.1213	5.7554	3200	0.3417	0.0661
1.0711	6.4748	3600	0.3143	0.0635
0.9658	7.1942	4000	0.2911	0.0579
0.9332	7.9137	4400	0.2742	0.0578
0.8973	8.6331	4800	0.2729	0.0588
0.8506	9.3525	5200	0.2558	0.0558
0.8531	10.0719	5600	0.2500	0.0553
0.8227	10.7914	6000	0.2508	0.0539
0.8047	11.5108	6400	0.2458	0.0533
0.7819	12.2302	6800	0.2441	0.0542
0.751	12.9496	7200	0.2419	0.0547
0.7565	13.6691	7600	0.2381	0.0530
0.7467	14.3885	8000	0.2371	0.0534
0.7193	15.1079	8400	0.2305	0.0519
0.7081	15.8273	8800	0.2397	0.0506
0.7051	16.5468	9200	0.2375	0.0524
0.7001	17.2662	9600	0.2324	0.0512
0.6694	17.9856	10000	0.2310	0.0510
0.6717	18.7050	10400	0.2311	0.0513
0.6603	19.4245	10800	0.2373	0.0525
0.6528	20.1439	11200	0.2346	0.0515
0.6588	20.8633	11600	0.2312	0.0504
0.6617	21.5827	12000	0.2300	0.0507
0.6537	22.3022	12400	0.2287	0.0507
0.6427	23.0216	12800	0.2271	0.0494
0.6341	23.7410	13200	0.2272	0.0506
0.6348	24.4604	13600	0.2251	0.0504
0.6295	25.1799	14000	0.2265	0.0505
0.6228	25.8993	14400	0.2253	0.0504
0.6143	26.6187	14800	0.2231	0.0496
0.6363	27.3381	15200	0.2255	0.0506
0.6137	28.0576	15600	0.2246	0.0496
0.626	28.7770	16000	0.2240	0.0497
0.627	29.4964	16400	0.2236	0.0494

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-f8

wav2vec2-lv-60-espeak-cv-ft-phocab-ds-f8

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-f8