byt5-g2p-v24-v17

This model is a fine-tuned version of BotnoiNLPteam/byt5_g2p_v23 on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.0132
• eval_runtime: 54.0893
• eval_samples_per_second: 259.183
• eval_steps_per_second: 32.409
• epoch: 3.0
• step: 3120

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: 0.0003
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 128
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3

Framework versions

• Transformers 4.56.0.dev0
• Pytorch 2.8.0+cu128
• Datasets 3.6.0
• Tokenizers 0.21.2