base_phase3

This model is a fine-tuned version of nguyenminhly/base_phase2 on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.2736
• eval_wer: 0.1305
• eval_runtime: 27.7898
• eval_samples_per_second: 13.494
• eval_steps_per_second: 1.691
• epoch: 49.44
• step: 44000

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: 70

Framework versions

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