This model is a fine-tuned version of reza-alipour/ft5 on the reza-alipour/Text-Edit-Instruct-Preprocessed-4m dataset.
It achieves the following results on the evaluation set:
Loss: 0.3032
Rouge1: 86.5313
Rouge2: 75.3351
Rougel: 85.9565
Rougelsum: 85.9785
Gen Len: 24.5688
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: 7e-05
train_batch_size: 4
eval_batch_size: 4
seed: 1337
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
