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iTroned/
stance_baseline_v4_no_hs

Name: stance_baseline_v4_no_hs
Availability: InStock

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stance_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 Stance	F1 Macro Stance	F1 Weighted Stance	F1 Macro Total	F1 Weighted Total
No log	1.0	40	1.0463	0.4066	0.1927	0.2350	0.1927	0.2350
No log	2.0	80	1.0363	0.4066	0.1927	0.2350	0.1927	0.2350
No log	3.0	120	1.0247	0.4066	0.1927	0.2350	0.1927	0.2350
No log	4.0	160	1.0017	0.4066	0.1927	0.2350	0.1927	0.2350
No log	5.0	200	0.9547	0.6098	0.4295	0.5715	0.4295	0.5715
No log	6.0	240	0.8752	0.7082	0.4971	0.6653	0.4971	0.6653
No log	7.0	280	0.7896	0.7311	0.5130	0.6856	0.5130	0.6856
No log	8.0	320	0.6762	0.7803	0.6522	0.7590	0.6522	0.7590
No log	9.0	360	0.6622	0.8295	0.7963	0.8253	0.7963	0.8253
No log	10.0	400	0.6469	0.8459	0.8264	0.8437	0.8264	0.8437
No log	11.0	440	0.8121	0.8098	0.7967	0.8049	0.7967	0.8049
No log	12.0	480	0.6956	0.8426	0.8291	0.8407	0.8291	0.8407
0.713	13.0	520	0.7172	0.8525	0.8386	0.8510	0.8386	0.8510
0.713	14.0	560	0.9019	0.8197	0.7956	0.8161	0.7956	0.8161
0.713	15.0	600	0.9156	0.8262	0.8057	0.8224	0.8057	0.8224
0.713	16.0	640	0.8307	0.8393	0.8289	0.8367	0.8289	0.8367
0.713	17.0	680	0.8393	0.8393	0.8228	0.8371	0.8228	0.8371
0.713	18.0	720	0.9390	0.8525	0.8392	0.8502	0.8392	0.8502
0.713	19.0	760	0.9267	0.8459	0.8283	0.8439	0.8283	0.8439
0.713	20.0	800	0.9513	0.8525	0.8394	0.8504	0.8394	0.8504
0.713	21.0	840	0.9725	0.8393	0.8206	0.8374	0.8206	0.8374
0.713	22.0	880	0.9894	0.8328	0.8150	0.8304	0.8150	0.8304
0.713	23.0	920	0.9965	0.8426	0.8230	0.8407	0.8230	0.8407
0.713	24.0	960	0.9779	0.8492	0.8312	0.8476	0.8312	0.8476
0.0399	25.0	1000	0.9889	0.8492	0.8341	0.8475	0.8341	0.8475