small_batch – AI Model by mifiguemi | AlphaNeural AI

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mifiguemi/
small_batch

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token-classification

generated_from_trainer

almanach/camembert-bio-base

autotrain_compatible

endpoints_compatible

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small_batch

This model is a fine-tuned version of almanach/camembert-bio-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0476
Precision: 0.7638
Recall: 0.8635
F1: 0.8106
Accuracy: 0.9844

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
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
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0572	1.0	2438	0.0520	0.7843	0.8268	0.8050	0.9842
0.0378	2.0	4876	0.0480	0.7825	0.8449	0.8125	0.9848
0.0312	3.0	7314	0.0481	0.8216	0.8405	0.8309	0.9862
0.0143	4.0	9752	0.0542	0.7946	0.8555	0.8239	0.9859

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1