speller-t5

This model is a fine-tuned version of summervent/speller-t5 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3569
• Rouge1: 14.5717
• Rouge2: 5.4522
• Rougel: 14.6057
• Rougelsum: 14.7357
• Gen Len: 30.8324

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: 8
• eval_batch_size: 8
• seed: 42
• 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
0.6467	0.22	1500	0.3569	14.5717	5.4522	14.6057	14.7357	30.8324
0.6408	0.44	3000	0.3569	14.5717	5.4522	14.6057	14.7357	30.8324
0.6343	0.66	4500	0.3569	14.5717	5.4522	14.6057	14.7357	30.8324
0.6372	0.87	6000	0.3569	14.5717	5.4522	14.6057	14.7357	30.8324

Framework versions

• Transformers 4.26.0
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.13.2