flan-t5-small-TESTING

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: 2.8834
• Rouge1: 0.3922
• Rouge2: 0.0
• Rougel: 0.3922
• Rougelsum: 0.3922
• Gen Len: 19.0

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	1	3.0370	0.3922	0.0	0.3922	0.3922	19.0
No log	2.0	2	2.9721	0.3922	0.0	0.3922	0.3922	19.0
No log	3.0	3	2.9263	0.3922	0.0	0.3922	0.3922	19.0
No log	4.0	4	2.8977	0.3922	0.0	0.3922	0.3922	19.0
No log	5.0	5	2.8834	0.3922	0.0	0.3922	0.3922	19.0

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.2+cpu
• Datasets 2.16.1
• Tokenizers 0.15.1