t5-small-finetuned-xsum

This model is a fine-tuned version of t5-small on an unknown 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: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Hashcode	Gen Len
No log	1.0	7	4.3409	[0.8452207446098328, 0.8602954745292664, 0.8452207446098328, 0.8602954745292664, 0.8452207446098328, 0.8602954745292664, 0.8452207446098328, 0.8602954745292664, 0.8452207446098328, 0.8602954745292664, 0.8452207446098328, 0.8602954745292664, 0.8452207446098328, 0.8602954745292664, 0.8452207446098328, 0.8602954745292664, 0.8452207446098328, 0.8602954745292664, 0.8452207446098328, 0.8602954745292664, 0.8452207446098328, 0.8602954745292664, 0.8452207446098328, 0.8602954745292664, 0.8452207446098328, 0.8602954745292664, 0.8452207446098328, 0.8602954745292664, 0.8452207446098328, 0.8602954745292664, 0.8452207446098328, 0.8602954745292664, 0.8452207446098328, 0.8602954745292664, 0.8452207446098328, 0.8602954745292664, 0.8452207446098328, 0.8602954745292664, 0.8452207446098328, 0.8602954745292664, 0.8452207446098328, 0.8602954745292664, 0.8452207446098328, 0.8602954745292664, 0.8452207446098328, 0.8602954745292664, 0.8452207446098328, 0.8602954745292664, 0.8452207446098328, 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Framework versions

• Transformers 4.38.1
• Pytorch 2.1.0+cu121
• Datasets 2.17.1
• Tokenizers 0.15.2