tffine

This model is a fine-tuned version of yifeihu/TF-ID-large on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.2263
• eval_runtime: 67.6051
• eval_samples_per_second: 5.074
• eval_steps_per_second: 0.636
• epoch: 10.0
• step: 3860

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: 1e-06
• 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
• num_epochs: 50

Framework versions

• Transformers 4.46.0.dev0
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.20.0