t5-base-finetuned-ner_docred_full

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

• Loss: 0.2684
• Rouge1: 6.3917
• Rouge2: 4.6969
• Rougel: 6.355
• Rougelsum: 6.3447
• Gen Len: 20.0

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	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.3569	1.0	3000	0.2684	6.3917	4.6969	6.355	6.3447	20.0

Framework versions

• Transformers 4.30.0.dev0
• Pytorch 2.1.0.dev20230611+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3