Tectonic1.0-CSV-FineTune – AI Model by PopeJohn | AlphaNeural AI

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PopeJohn/
Tectonic1.0-CSV-FineTune

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text2text-generation

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PopeJohn/Tectonic1.0

text-generation-inference

endpoints_compatible

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Tectonic1.0-CSV-FineTune

This model is a fine-tuned version of PopeJohn/Tectonic1.0 on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.2653

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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	4	3.4933
3.9604	2.0	8	3.4453
3.5848	3.0	12	3.4070
3.7344	4.0	16	3.3768
3.4376	5.0	20	3.3524
3.4376	6.0	24	3.3331
3.5347	7.0	28	3.3175
3.4483	8.0	32	3.3037
3.3816	9.0	36	3.2923
3.3821	10.0	40	3.2834
3.3821	11.0	44	3.2767
3.3407	12.0	48	3.2716
3.3203	13.0	52	3.2682
3.3878	14.0	56	3.2661
3.3684	15.0	60	3.2653

Framework versions

Transformers 4.57.1
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1