t5-small-pointer-mtop

This model is a fine-tuned version of google/mt5-small on the mtop dataset. It achieves the following results on the evaluation set:

• Loss: 0.1202
• Exact Match: 0.7445

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: 0.001
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 32
• total_train_batch_size: 512
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 3000

Training results

Training Loss	Epoch	Step	Validation Loss	Exact Match
2.1451	6.65	200	0.5966	0.0134
0.4695	13.33	400	0.2264	0.2998
0.2229	19.98	600	0.1446	0.4649
0.1389	26.65	800	0.1227	0.5154
0.097	33.33	1000	0.1213	0.5221
0.0724	39.98	1200	0.1202	0.5365
0.0562	46.65	1400	0.1207	0.5436
0.0457	53.33	1600	0.1240	0.5441
0.0399	59.98	1800	0.1349	0.5441
0.0317	66.65	2000	0.1369	0.5477
0.0271	73.33	2200	0.1409	0.5490
0.0237	79.98	2400	0.1462	0.5539
0.0207	86.65	2600	0.1470	0.5517
0.0188	93.33	2800	0.1505	0.5508
0.0174	99.98	3000	0.1505	0.5512

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.0+cu117
• Datasets 2.7.1
• Tokenizers 0.13.2