Chatbot_Model_Trial

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: 1.4141
• Rouge1: 20.2835
• Rouge2: 9.4794
• Rougel: 20.2587
• Rougelsum: 20.2835
• Gen Len: 14.125

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
• 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	10	1.9123	18.7955	5.5978	17.9735	17.9848	14.75
No log	2.0	20	1.6554	22.5345	7.961	21.3846	21.8442	15.0
No log	3.0	30	1.5016	25.764	8.9312	24.6364	25.0268	13.75
No log	4.0	40	1.4346	20.2835	9.4794	20.2587	20.2835	14.125
No log	5.0	50	1.4141	20.2835	9.4794	20.2587	20.2835	14.125

Framework versions

• Transformers 4.35.0
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1