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trungpq/
rlcc-aroma-sentences-concat

Name: rlcc-aroma-sentences-concat
Availability: InStock

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rlcc-aroma-sentences-concat

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: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
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
lr_scheduler_warmup_steps: 82
num_epochs: 15

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro	Precision Macro	Recall Macro	Total Tf
1.3713	1.0	83	1.3645	0.3146	0.1973	0.1798	0.2538	[129, 281, 949, 281]
1.2213	2.0	166	1.3950	0.3049	0.2671	0.4471	0.3617	[125, 285, 945, 285]
0.9589	3.0	249	1.3550	0.3659	0.3597	0.4058	0.3726	[150, 260, 970, 260]
0.7439	4.0	332	1.3780	0.4049	0.3921	0.4071	0.4021	[166, 244, 986, 244]
0.5407	5.0	415	1.4866	0.4171	0.4168	0.4188	0.4293	[171, 239, 991, 239]
0.3633	6.0	498	1.7251	0.4171	0.3674	0.3956	0.3838	[171, 239, 991, 239]
0.2924	7.0	581	1.7099	0.4659	0.4503	0.4534	0.4486	[191, 219, 1011, 219]
0.2261	8.0	664	1.8778	0.4439	0.4101	0.4373	0.4136	[182, 228, 1002, 228]
0.213	9.0	747	1.9110	0.4561	0.4423	0.4504	0.4411	[187, 223, 1007, 223]
0.1599	10.0	830	2.1341	0.4439	0.4020	0.4277	0.4093	[182, 228, 1002, 228]
0.1279	11.0	913	2.1700	0.4439	0.4166	0.4343	0.4176	[182, 228, 1002, 228]
0.1121	12.0	996	2.2239	0.4463	0.4071	0.4254	0.4133	[183, 227, 1003, 227]