base

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

• eval_loss: 0.2759
• eval_wer: 0.1653
• eval_runtime: 16.3191
• eval_samples_per_second: 22.979
• eval_steps_per_second: 2.88
• epoch: 1.69
• step: 1500

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: 50

Framework versions

• Transformers 4.32.1
• Pytorch 2.0.1+cu117
• Datasets 2.14.4
• Tokenizers 0.13.3