t5

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

• Loss: 9.1484

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: 0.0002
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
16.5441	0.19	25	15.5859
12.0328	0.38	50	11.125
9.1945	0.56	75	9.8359
7.9454	0.75	100	9.2734
7.463	0.94	125	9.1484

Framework versions

• Transformers 4.38.2
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.15.2