wav2vec2-10epochs-3e5 – AI Model by ykleeee | AlphaNeural AI

You can deploy this model and start earning money today!

ykleeee/
wav2vec2-10epochs-3e5

like

0

automatic-speech-recognition

generated_from_trainer

endpoints_compatible

Views

No views yet

wav2vec2-10epochs-3e5

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3076
Wer: 0.2157

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1184	0.36	100	0.4169	0.3008
0.0747	0.72	200	0.3413	0.2677
0.046	1.08	300	0.3245	0.2496
0.0263	1.44	400	0.3094	0.2450
0.0326	1.8	500	0.3031	0.2366
0.0179	2.16	600	0.2966	0.2324
0.0209	2.52	700	0.2920	0.2287
0.0095	2.88	800	0.2966	0.2267
0.0113	3.24	900	0.2997	0.2259
0.0107	3.6	1000	0.3011	0.2221
0.009	3.96	1100	0.3050	0.2219
0.0131	4.32	1200	0.3034	0.2195
0.0147	4.68	1300	0.3042	0.2204
0.0195	5.04	1400	0.3187	0.2204
0.0087	5.4	1500	0.3205	0.2198
0.0083	5.76	1600	0.3177	0.2197
0.016	6.12	1700	0.3110	0.2175
0.0152	6.47	1800	0.3078	0.2171
0.0173	6.83	1900	0.3134	0.2169
0.046	7.19	2000	0.3134	0.2164
0.0264	7.55	2100	0.3095	0.2174
0.0143	7.91	2200	0.3066	0.2170
0.0186	8.27	2300	0.3086	0.2181
0.0308	8.63	2400	0.3103	0.2175
0.0246	8.99	2500	0.3083	0.2157
0.0126	9.35	2600	0.3073	0.2154
0.0134	9.71	2700	0.3076	0.2157

Framework versions

Transformers 4.11.3
Pytorch 1.10.1
Datasets 2.9.0
Tokenizers 0.10.3