flan-recipes

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: nan
• Rouge1: 71.0741
• Rouge2: 34.937
• Rougel: 71.129
• Rougelsum: 71.0758
• Gen Len: 4.0103

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: 2
• eval_batch_size: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.0	1.0	873	nan	71.0741	34.937	71.129	71.0758	4.0103
0.0	2.0	1746	nan	71.0741	34.937	71.129	71.0758	4.0103
0.0	3.0	2619	nan	71.0741	34.937	71.129	71.0758	4.0103
0.0	4.0	3492	nan	71.0741	34.937	71.129	71.0758	4.0103

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3