assignment2_attempt1

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

• Loss: 5.5679
• Rouge1: 0.1429
• Rouge2: 0.0
• Rougel: 0.0816
• Rougelsum: 0.0816
• 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: 2e-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: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	1	6.2764	0.1429	0.0	0.0816	0.0816	19.0
No log	2.0	2	6.1100	0.1429	0.0	0.0816	0.0816	19.0
No log	3.0	3	5.9592	0.1429	0.0	0.0816	0.0816	19.0
No log	4.0	4	5.8185	0.1429	0.0	0.0816	0.0816	19.0
No log	5.0	5	5.6855	0.1429	0.0	0.0816	0.0816	19.0
No log	6.0	6	5.5679	0.1429	0.0	0.0816	0.0816	19.0

Framework versions

• Transformers 4.34.1
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1