subset_model_flan_t5

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: 1.2878
• Rouge1: 0.2857
• Rouge2: 0.15
• Rougel: 0.2857
• Rougelsum: 0.2857
• 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: 0.0002
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	1	1.3451	0.2857	0.15	0.2857	0.2857	19.0
No log	2.0	2	1.3067	0.2857	0.15	0.2857	0.2857	19.0
No log	3.0	3	1.2925	0.2857	0.15	0.2857	0.2857	19.0
No log	4.0	4	1.2878	0.2857	0.15	0.2857	0.2857	19.0

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3