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molgen-finetuned-standard – AI Model by amrp | AlphaNeural AI
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molgen-finetuned-standard
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transformers
safetensors
bart
text2text-generation
generated_from_trainer
zjunlp/MolGen-large
finetune
endpoints_compatible
us
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molgen-finetuned-standard
This model is a fine-tuned version of
zjunlp/MolGen-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0540
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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
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: cosine
lr_scheduler_warmup_steps: 0.05
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.1388
1.0
1485
0.0631
0.0812
2.0
2970
0.0540
Framework versions
Transformers 5.2.0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2
