Datasetpublic

gonzalobenegas/gpn-animal-promoter-checkpoints-second-part

checkpoints This model is a fine-tuned version of songlab/gpn-animal-promoter on the dataset dataset. It achieves the following results on the evaluation set: Loss: 1.1658 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… See the full description on the dataset page: https://huggingface.co/datasets/gonzalobenegas/gpn-animal-promoter-checkpoints-second-part.

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checkpoints

This model is a fine-tuned version of songlab/gpn-animal-promoter on the dataset dataset. It achieves the following results on the evaluation set:

—Loss: 1.1658

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: 0.001
—trainbatchsize: 128
—evalbatchsize: 128
—seed: 43
—gradientaccumulationsteps: 16
—totaltrainbatch_size: 2048
—optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
—lrschedulertype: cosine
—training_steps: 130000

Training results

Training Loss	Epoch	Step	Validation Loss
1.1109	2.0091	10000	1.1813
1.1102	4.0182	20000	1.1783
1.1085	6.0273	30000	1.1766
1.106	9.0025	40000	1.1754
1.1028	11.0116	50000	1.1766
1.1	13.0207	60000	1.1759
1.0964	15.0298	70000	1.1729
1.0927	18.0050	80000	1.1696
1.089	20.0142	90000	1.1684
1.0859	22.0233	100000	1.1670
1.0837	24.0324	110000	1.1658
1.0823	27.0076	120000	1.1643
1.0819	29.0167	130000	1.1631

Framework versions

—Transformers 4.57.1
—Pytorch 2.9.0+cu128
—Datasets 4.4.1
—Tokenizers 0.22.1