wav2vec2-xlsr-53-torgo-8batch-30epochs-500steps

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: 1.0747
• Cer: 0.3015

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: 8
• 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	Cer
25.2161	2.53	500	5.2319	0.9816
3.649	5.05	1000	3.7028	0.9816
2.8241	7.58	1500	2.0426	0.8802
1.6018	10.1	2000	1.2611	0.4394
1.0374	12.63	2500	1.1117	0.3713
0.7962	15.15	3000	1.0730	0.3445
0.6436	17.68	3500	1.1026	0.3309
0.5344	20.2	4000	1.0734	0.3100
0.4556	22.73	4500	1.0877	0.3177
0.3992	25.25	5000	1.0614	0.3065
0.3764	27.78	5500	1.0747	0.3015

Framework versions

• Transformers 4.18.0
• Pytorch 1.12.1+cu113
• Datasets 1.18.3
• Tokenizers 0.12.1