You can deploy this model and start earning money today!

iTroned/
targeted_baseline_v4_1

Name: targeted_baseline_v4_1
Availability: InStock

Views

No views yet

targeted_baseline_v4_1

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

learning_rate: 6e-06
train_batch_size: 4
eval_batch_size: 4
seed: 1337
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: 30

Training Loss	Epoch	Step	Validation Loss	Accuracy Targeted	F1 Macro Targeted	F1 Weighted Targeted	F1 Macro Total	F1 Weighted Total
0.7113	1.0	1100	2.2719	0.6778	0.4040	0.5476	0.4040	0.5476
1.0394	2.0	2200	2.2550	0.6778	0.4040	0.5476	0.4040	0.5476
0.9156	3.0	3300	2.5674	0.6933	0.4595	0.5859	0.4595	0.5859
0.7673	4.0	4400	2.7223	0.7067	0.4983	0.6133	0.4983	0.6133
0.6303	5.0	5500	3.1295	0.6956	0.4818	0.6002	0.4818	0.6002
0.5417	6.0	6600	3.7576	0.6911	0.4469	0.5776	0.4469	0.5776
0.3341	7.0	7700	3.6453	0.7	0.4943	0.6090	0.4943	0.6090
0.2601	8.0	8800	4.3086	0.6978	0.4930	0.6075	0.4930	0.6075
0.1736	9.0	9900	4.9458	0.6844	0.4985	0.6071	0.4985	0.6071
0.0747	10.0	11000	5.4903	0.6978	0.4977	0.6104	0.4977	0.6104
0.0801	11.0	12100	4.6953	0.7044	0.5475	0.6423	0.5475	0.6423
0.0554	12.0	13200	6.0291	0.7	0.4844	0.6029	0.4844	0.6029
0.0364	13.0	14300	6.3335	0.6978	0.5068	0.6160	0.5068	0.6160
0.0449	14.0	15400	6.3268	0.6978	0.5155	0.6212	0.5155	0.6212
0.0141	15.0	16500	6.4658	0.6889	0.5056	0.6126	0.5056	0.6126
0.0215	16.0	17600	6.3852	0.6933	0.4903	0.6047	0.4903	0.6047