TAPT_CeLLaTe_llrd_only

This model is a fine-tuned version of Mardiyyah/cellate1.0-tapt_freeze_llrd_ww_mask-LR_2e-05 on an unknown dataset. It achieves the following results on the evaluation set:

Model description

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The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 3407
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_ratio: 0.1
num_epochs: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
1.5314	1.0	55	0.6843	0.0	0.0	0.0	0.8947
0.4343	2.0	110	0.2517	0.3447	0.3526	0.3486	0.9195
0.2147	3.0	165	0.1484	0.6493	0.7204	0.6830	0.9563
0.1396	4.0	220	0.1172	0.7452	0.7599	0.7524	0.9681
0.1112	5.0	275	0.1102	0.7370	0.8176	0.7752	0.9660
0.0892	6.0	330	0.0984	0.7994	0.7994	0.7994	0.9713
0.0747	7.0	385	0.1059	0.8238	0.8100	0.8169	0.9735
0.0643	8.0	440	0.1112	0.7768	0.8252	0.8003	0.9703
0.0533	9.0	495	0.1079	0.8361	0.8298	0.8330	0.9748
0.0473	10.0	550	0.1082	0.8121	0.8343	0.8231	0.9736
0.0445	11.0	605	0.1094	0.8468	0.8146	0.8304	0.9750
0.0375	12.0	660	0.1047	0.8477	0.8374	0.8425	0.9762
0.0312	13.0	715	0.1052	0.8149	0.8298	0.8223	0.9741
0.0299	14.0	770	0.1095	0.8070	0.8389	0.8227	0.9727
0.0269	15.0	825	0.1195	0.7874	0.8389	0.8124	0.9718
0.0238	16.0	880	0.1096	0.8301	0.8389	0.8345	0.9749
0.0218	17.0	935	0.1134	0.8070	0.8450	0.8255	0.9741
0.022	18.0	990	0.1174	0.8038	0.8404	0.8217	0.9736
0.02	19.0	1045	0.1189	0.8151	0.8374	0.8261	0.9741
0.02	20.0	1100	0.1153	0.8168	0.8404	0.8285	0.9743

Safetensors

Model size

0.1B params

Tensor type

F32

Base model

Finetuned

Finetuned

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this model