assis

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

• Loss: 0.3864
• Wer: 1

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: 1e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 3000
• training_steps: 5000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.006	15.62	1000	2.9606	1
2.8532	31.25	2000	2.8553	1
0.6421	46.88	3000	0.5418	1
0.3404	62.5	4000	0.4027	1
0.2801	78.12	5000	0.3864	1

Framework versions

• Transformers 4.27.4
• Pytorch 1.13.1
• Datasets 2.11.0
• Tokenizers 0.13.2