TableCheck/mt0-small-query-extraction

mt-0-small-multilanguage-query-extraction

This model is a fine-tuned version of bigscience/mt0-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0037
• Rouge1: 90.139
• Rouge2: 88.3647
• Rougel: 90.1385
• Rougelsum: 90.1396
• Gen Len: 19.0

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.0046	1.0	17500	0.0040	90.1388	88.3642	90.1382	90.1395	19.0
0.0041	2.0	35000	0.0038	90.139	88.3647	90.1385	90.1396	19.0
0.0039	3.0	52500	0.0037	90.139	88.3647	90.1385	90.1396	19.0

Framework versions

• Transformers 4.40.1
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1