SummarEaseElementaryV5

This model is a fine-tuned version of notBanana/SummarEaseElementaryV4 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.3362
• Rouge1: 0.145
• Rouge2: 0.0582
• Rougel: 0.1185
• Rougelsum: 0.1184
• Gen Len: 20.0

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: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	1	2.3878	0.1313	0.0498	0.1089	0.1095	20.0
No log	2.0	2	2.3645	0.1439	0.0598	0.1171	0.1178	20.0
No log	3.0	3	2.3461	0.145	0.0582	0.1185	0.1184	20.0
No log	4.0	4	2.3362	0.145	0.0582	0.1185	0.1184	20.0

Framework versions

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