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iTroned/
targeted_baseline_v4_no_hs_1

Name: targeted_baseline_v4_no_hs_1
Availability: InStock

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targeted_baseline_v4_no_hs_1

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

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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
0.7632	1.0	1100	2.2338	0.6778	0.4040	0.5476	0.4040	0.5476
1.0252	2.0	2200	1.9360	0.6778	0.4040	0.5476	0.4040	0.5476
0.9454	3.0	3300	2.2929	0.7	0.4844	0.6029	0.4844	0.6029
0.82	4.0	4400	2.8237	0.6867	0.4505	0.5786	0.4505	0.5786
0.6812	5.0	5500	2.9582	0.6911	0.4743	0.5943	0.4743	0.5943
0.5338	6.0	6600	3.4649	0.7022	0.5141	0.6216	0.5141	0.6216
0.3892	7.0	7700	3.7271	0.6933	0.4996	0.6103	0.4996	0.6103
0.2448	8.0	8800	4.1013	0.68	0.5196	0.6183	0.5196	0.6183
0.1718	9.0	9900	4.9501	0.6956	0.4661	0.5906	0.4661	0.5906
0.0687	10.0	11000	5.2835	0.6822	0.4838	0.5976	0.4838	0.5976
0.0499	11.0	12100	5.6705	0.6978	0.4727	0.5952	0.4727	0.5952
0.0562	12.0	13200	5.6180	0.6956	0.5339	0.6315	0.5339	0.6315
0.0499	13.0	14300	6.0324	0.7067	0.5125	0.6219	0.5125	0.6219
0.051	14.0	15400	6.6358	0.6956	0.5055	0.6145	0.5055	0.6145
0.0542	15.0	16500	6.0667	0.6933	0.5286	0.6277	0.5286	0.6277
0.0301	16.0	17600	6.7559	0.7022	0.4956	0.6104	0.4956	0.6104
0.0075	17.0	18700	7.0633	0.6978	0.5068	0.6160	0.5068	0.6160