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iTroned/
targeted_baseline_v4_no_hs

Name: targeted_baseline_v4_no_hs
Availability: InStock

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targeted_baseline_v4_no_hs

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
No log	1.0	45	0.6925	0.3244	0.2474	0.1617	0.2474	0.1617
No log	2.0	90	0.6958	0.6778	0.4040	0.5476	0.4040	0.5476
No log	3.0	135	0.7047	0.6778	0.4040	0.5476	0.4040	0.5476
No log	4.0	180	0.7285	0.6778	0.4040	0.5476	0.4040	0.5476
No log	5.0	225	0.7582	0.6778	0.4040	0.5476	0.4040	0.5476
No log	6.0	270	0.7608	0.6778	0.4040	0.5476	0.4040	0.5476
No log	7.0	315	0.7174	0.7133	0.5301	0.6344	0.5301	0.6344
No log	8.0	360	0.8855	0.7356	0.5779	0.6696	0.5779	0.6696
No log	9.0	405	0.8801	0.7467	0.6336	0.7060	0.6336	0.7060
No log	10.0	450	0.8336	0.7778	0.7010	0.7549	0.7010	0.7549
No log	11.0	495	0.9934	0.7711	0.6724	0.7363	0.6724	0.7363
0.5312	12.0	540	1.0753	0.7689	0.6681	0.7331	0.6681	0.7331
0.5312	13.0	585	1.0464	0.7733	0.7021	0.7539	0.7021	0.7539
0.5312	14.0	630	1.1904	0.7711	0.6833	0.7426	0.6833	0.7426
0.5312	15.0	675	1.2709	0.7733	0.6853	0.7445	0.6853	0.7445
0.5312	16.0	720	1.3581	0.7733	0.6811	0.7421	0.6811	0.7421
0.5312	17.0	765	1.4041	0.7711	0.6769	0.7389	0.6769	0.7389
0.5312	18.0	810	1.5116	0.7667	0.6661	0.7312	0.6661	0.7312