gee

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0576

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: 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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.1981	1.0	1280	0.0820
0.0933	2.0	2560	0.0617
0.084	3.0	3840	0.0576

Framework versions

• Transformers 4.43.2
• Pytorch 2.4.0
• Datasets 2.20.0
• Tokenizers 0.19.1