fine-tuning-albert-tiny-041123 – AI Model by erickdp | AlphaNeural AI

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erickdp/
fine-tuning-albert-tiny-041123

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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fine-tuning-albert-tiny-041123

This model is a fine-tuned version of dccuchile/albert-tiny-spanish on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.2027
Precision: 0.1111
F1: 0.1667
Recall: 0.3333
Accuracy: 0.3333

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	F1	Recall	Accuracy
1.034	1.0	1304	1.2027	0.1111	0.1667	0.3333	0.3333
1.0266	2.0	2608	1.1847	0.1111	0.1667	0.3333	0.3333
1.0248	3.0	3912	1.1969	0.1111	0.1667	0.3333	0.3333
1.0317	4.0	5216	1.2050	0.1111	0.1667	0.3333	0.3333
1.0285	5.0	6520	1.1994	0.1111	0.1667	0.3333	0.3333
1.0281	6.0	7824	1.1928	0.1111	0.1667	0.3333	0.3333
1.0216	7.0	9128	1.2110	0.1111	0.1667	0.3333	0.3333
1.0268	8.0	10432	1.2035	0.1111	0.1667	0.3333	0.3333

Framework versions

Transformers 4.27.4
Pytorch 1.13.1+cu116
Datasets 2.11.0
Tokenizers 0.13.3