mT5-TextSimp-LT-BatchSize12-lr5e-5

This model is a fine-tuned version of google/mt5-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: nan
• Rouge1: 0.0
• Rouge2: 0.0
• Rougel: 0.0
• Gen Len: 0.0

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: 5e-05
• train_batch_size: 12
• eval_batch_size: 12
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Gen Len
28.0514	1.43	200	21.4337	0.0028	0.0	0.0028	512.0
0.0	2.86	400	nan	0.0	0.0	0.0	0.0
0.0	4.29	600	nan	0.0	0.0	0.0	0.0
0.0	5.71	800	nan	0.0	0.0	0.0	0.0
0.0	7.14	1000	nan	0.0	0.0	0.0	0.0

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.1
• Datasets 2.16.1
• Tokenizers 0.15.0