zinc10M_gpt2-medium_SMILES_step1 – AI Model by jarod0411 | AlphaNeural AI

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zinc10M_gpt2-medium_SMILES_step1

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text-generation

generated_from_trainer

openai-community/gpt2-medium

autotrain_compatible

text-generation-inference

endpoints_compatible

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zinc10M_gpt2-medium_SMILES_step1

This model is a fine-tuned version of gpt2-medium on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5598
Accuracy: 0.8151

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
0.635	1.0	10635	0.6169	0.8007
0.6073	2.0	21270	0.5937	0.8066
0.5932	3.0	31905	0.5828	0.8093
0.5843	4.0	42540	0.5754	0.8112
0.5782	5.0	53175	0.5704	0.8124
0.5729	6.0	63810	0.5666	0.8134
0.5691	7.0	74445	0.5638	0.8141
0.5666	8.0	85080	0.5620	0.8145
0.5644	9.0	95715	0.5606	0.8149
0.5629	10.0	106350	0.5598	0.8151

Framework versions

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