checkpoints

This model is a fine-tuned version of abdulllah01/checkpoints on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0983
• Rouge1: 45.0287
• Rouge2: 42.6235
• Rougel: 44.7544
• Rougelsum: 44.8438

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: 5.6e-05
• train_batch_size: 3
• eval_batch_size: 3
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
0.1839	1.0	150	0.0983	45.0287	42.6235	44.7544	44.8438

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1