flan-t5-base-esnli

This model is a fine-tuned version of google/flan-t5-base on the esnli dataset. It achieves the following results on the evaluation set:

• Loss: nan
• Rouge1: 7.9134
• Rouge2: 2.5218
• Rougel: 6.6841
• Rougelsum: 6.8287
• Gen Len: 5.1981

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: 32
• eval_batch_size: 32
• 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
0.0	1.0	8584	nan	7.9134	2.5218	6.6841	6.8287	5.1981

Framework versions

• Transformers 4.36.0
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.15.0