MTL_training_full_80K

This model is a fine-tuned version of RonTon05/model_content_V2_test on the None dataset.

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: 2e-05
• train_batch_size: 128
• eval_batch_size: 128
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 256
• 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
• lr_scheduler_warmup_steps: 317
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 5.20.2
• Pytorch 2.11.0+cu128
• Datasets 5.1.0
• Tokenizers 0.23.3