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iTroned/
self_iterative_v2_targeted_iteration_0

Name: self_iterative_v2_targeted_iteration_0
Availability: InStock

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self_iterative_v2_targeted_iteration_0

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
0.7828	1.0	1100	2.3297	0.6778	0.4040	0.5476	0.4040	0.5476
0.989	2.0	2200	2.1488	0.7	0.4894	0.6060	0.4894	0.6060
0.916	3.0	3300	2.4146	0.6911	0.4638	0.5879	0.4638	0.5879
0.7552	4.0	4400	2.6174	0.7044	0.4920	0.6088	0.4920	0.6088
0.612	5.0	5500	2.9978	0.6978	0.4831	0.6015	0.4831	0.6015
0.4097	6.0	6600	3.6226	0.7044	0.5439	0.6401	0.5439	0.6401
0.2504	7.0	7700	4.1092	0.6911	0.5194	0.6215	0.5194	0.6215
0.2001	8.0	8800	4.9055	0.6956	0.4868	0.6032	0.4868	0.6032
0.137	9.0	9900	4.8960	0.6956	0.4964	0.6090	0.4964	0.6090
0.0979	10.0	11000	5.5659	0.6844	0.4549	0.5807	0.4549	0.5807
0.0768	11.0	12100	6.1068	0.6889	0.4626	0.5866	0.4626	0.5866