Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
ChemBERTa-zinc-base-v1-finetuned-tchard – AI Model by yiminghuang47 | AlphaNeural AI
You can deploy this model and start earning money today!
yiminghuang47
/
ChemBERTa-zinc-base-v1-finetuned-tchard
like
0
transformers
pytorch
tensorboard
roberta
fill-mask
generated_from_trainer
seyonec/ChemBERTa-zinc-base-v1
finetune
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
ChemBERTa-zinc-base-v1-finetuned-tchard
This model is a fine-tuned version of
seyonec/ChemBERTa-zinc-base-v1
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0402
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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
1140
0.1824
0.7769
2.0
2280
0.0526
0.0926
3.0
3420
0.0407
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.3
Tokenizers 0.13.3
