zinc10M_gpt2_SMILES_bpe_combined_step2 – AI Model by jarod0411 | AlphaNeural AI

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zinc10M_gpt2_SMILES_bpe_combined_step2

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text-generation

generated_from_trainer

jarod0411/zinc10M_gpt2_SMILES_bpe_combined_step1

autotrain_compatible

text-generation-inference

endpoints_compatible

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zinc10M_gpt2_SMILES_bpe_combined_step2

This model is a fine-tuned version of jarod0411/zinc10M_gpt2_SMILES_bpe_combined_step1 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3606
Accuracy: 0.8815

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
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4067	1.0	18043	0.3910	0.8735
0.3925	2.0	36086	0.3797	0.8765
0.3849	3.0	54129	0.3737	0.8781
0.3799	4.0	72172	0.3696	0.8792
0.3762	5.0	90215	0.3668	0.8799
0.3734	6.0	108258	0.3646	0.8805
0.3712	7.0	126301	0.3630	0.8809
0.3696	8.0	144344	0.3617	0.8812
0.3685	9.0	162387	0.3609	0.8815
0.3676	10.0	180430	0.3606	0.8815

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.15.0