salbatarni/flan-t5-small-asap_t5_f2_prompt_adherence

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

flan-t5-small-asapt5f2promptadherence

This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0615
• —Rouge1: 80.7114
• —Rouge2: 75.8121
• —Rougel: 80.7571
• —Rougelsum: 80.7981
• —Gen Len: 12.0402

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: 5e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.38.2
• —Pytorch 2.1.2
• —Datasets 2.18.0
• —Tokenizers 0.15.2