w2v2-shallow-bart-5k-1e-3

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 5.2228
• Wer: 219.0067

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: 0.001
• train_batch_size: 16
• 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: 250
• training_steps: 5000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
5.4271	0.2	1000	5.5063	287.8938
4.9304	1.04	2000	5.4201	198.6618
4.6411	1.24	3000	5.2925	332.8481
4.3797	2.09	4000	5.2913	155.6744
4.2848	2.29	5000	5.2228	219.0067

Framework versions

• Transformers 4.25.0.dev0
• Pytorch 1.11.0
• Datasets 2.6.1
• Tokenizers 0.13.2