my_awesome_third_model

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

• Loss: 2.1228
• Rouge1: 0.1877
• Rouge2: 0.064
• Rougel: 0.1504
• Rougelsum: 0.1503
• Gen Len: 18.9654

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: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.3592	1.0	602	2.1228	0.1877	0.064	0.1504	0.1503	18.9654

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2