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jiobiala24/
wav2vec2-base-checkpoint-13

Name: wav2vec2-base-checkpoint-13
Availability: InStock

automatic-speech-recognition

generated_from_trainer

common_voice

apache-2.0

endpoints_compatible

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wav2vec2-base-checkpoint-13

This model is a fine-tuned version of jiobiala24/wav2vec2-base-checkpoint-12 on the common_voice dataset. It achieves the following results on the evaluation set:

Loss: 1.1804
Wer: 0.3809

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: 0.0001
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2688	1.92	1000	0.6518	0.3692
0.1944	3.85	2000	0.7188	0.3808
0.1503	5.77	3000	0.7552	0.3853
0.1218	7.69	4000	0.8155	0.3834
0.1024	9.62	5000	0.8867	0.3779
0.0874	11.54	6000	0.8917	0.3866
0.0775	13.46	7000	1.0320	0.4019
0.0712	15.38	8000	1.0110	0.3922
0.0656	17.31	9000	1.0494	0.3885
0.0578	19.23	10000	1.1054	0.3883
0.053	21.15	11000	1.1285	0.3938
0.0496	23.08	12000	1.1358	0.3884
0.0459	25.0	13000	1.2062	0.3904
0.0445	26.92	14000	1.1811	0.3830
0.0414	28.85	15000	1.1804	0.3809

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu111
Datasets 1.13.3
Tokenizers 0.10.3

jiobiala24/wav2vec2-base-checkpoint-13

wav2vec2-base-checkpoint-13

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jiobiala24/
wav2vec2-base-checkpoint-13