Flant5_Complaint

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

• Loss: 0.1839

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: 0.0003
• 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	159	0.1390
No log	2.0	318	0.1345
No log	3.0	477	0.1320
0.1669	4.0	636	0.1397
0.1669	5.0	795	0.1503
0.1669	6.0	954	0.1546
0.0764	7.0	1113	0.1623
0.0764	8.0	1272	0.1694
0.0764	9.0	1431	0.1789
0.0518	10.0	1590	0.1839

Framework versions

• Transformers 4.41.1
• Pytorch 1.13.1+cu117
• Datasets 2.19.1
• Tokenizers 0.19.1