t5-small-finetuned-toxic

This model is a fine-tuned version of t5-small on an unkown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1295
• Rouge1: 93.7659
• Rouge2: 3.6618
• Rougel: 93.7652
• Rougelsum: 93.7757
• Gen Len: 2.5481

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.1595	1.0	7979	0.1295	93.7659	3.6618	93.7652	93.7757	2.5481

Framework versions

• Transformers 4.9.1
• Pytorch 1.9.0+cu102
• Datasets 1.11.0
• Tokenizers 0.10.3