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OTAR3088/
CeLLaTe3.0_LLRD_no_vague_adapted_pubmed

Name: CeLLaTe3.0_LLRD_no_vague_adapted_pubmed
Availability: InStock

generated_from_trainer

Mardiyyah/cellate2.0-tapt_base-LR_5e-05

finetune

mit

endpoints_compatible

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CeLLaTe3.0_LLRD_no_vague_adapted_pubmed

This model is a fine-tuned version of Mardiyyah/cellate2.0-tapt_base-LR_5e-05 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2007
Precision: 0.8141
Recall: 0.8144
F1: 0.8143
Accuracy: 0.9619

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 3e-05
train_batch_size: 32
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 results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
1.1784	1.0417	100	0.3883	0.2271	0.1441	0.1763	0.8872
0.2627	2.0833	200	0.1683	0.6452	0.7211	0.6811	0.9538
0.1123	3.125	300	0.1480	0.8037	0.7503	0.7761	0.9613
0.0693	4.1667	400	0.1629	0.7995	0.8060	0.8027	0.9637
0.0477	5.2083	500	0.1577	0.8110	0.8171	0.8140	0.9652
0.0323	6.25	600	0.2010	0.8141	0.8144	0.8143	0.9619
0.0245	7.2917	700	0.1971	0.7691	0.7584	0.7637	0.9600
0.0185	8.3333	800	0.2117	0.8028	0.7837	0.7931	0.9623
0.0157	9.375	900	0.2137	0.7738	0.8397	0.8054	0.9611

Framework versions

Transformers 4.48.2
Pytorch 2.4.1+cu121
Datasets 3.0.2
Tokenizers 0.21.0

OTAR3088/CeLLaTe3.0_LLRD_no_vague_adapted_pubmed

CeLLaTe3.0_LLRD_no_vague_adapted_pubmed

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

OTAR3088/
CeLLaTe3.0_LLRD_no_vague_adapted_pubmed