dialogsum-flan-t5-base

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

• Loss: 31.1190

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: 1e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
33.213	1.0	1558	31.2030
29.4489	2.0	3116	31.1150
29.4301	3.0	4674	31.1190

Framework versions

• Transformers 4.33.2
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3