mt5-small-xasqp-rest16

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

Model description

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The following hyperparameters were used during training:

learning_rate: 0.0003
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 15

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1
No log	1.0	92	0.9849	0.021	0.0324	0.0255
No log	2.0	184	0.6488	0.0706	0.1635	0.0986
No log	3.0	276	0.4987	0.2033	0.2555	0.2264
No log	4.0	368	0.4678	0.1592	0.3203	0.2127
No log	5.0	460	0.4411	0.238	0.356	0.2853
1.8244	6.0	552	0.4291	0.3047	0.368	0.3333
1.8244	7.0	644	0.4419	0.3007	0.3765	0.3343
1.8244	8.0	736	0.4201	0.3382	0.3969	0.3652
1.8244	9.0	828	0.4162	0.3358	0.3901	0.3609
1.8244	10.0	920	0.4233	0.3378	0.385	0.3599
0.3879	11.0	1012	0.4216	0.3645	0.4123	0.3869
0.3879	12.0	1104	0.4139	0.3672	0.4191	0.3914
0.3879	13.0	1196	0.4127	0.3847	0.4208	0.402
0.3879	14.0	1288	0.4152	0.3714	0.4208	0.3946
0.3879	15.0	1380	0.4130	0.379	0.4242	0.4003