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ChemBERTa-77M-MLM-finetuned-4M_2 – AI Model by HassanCS | AlphaNeural AI
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HassanCS
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ChemBERTa-77M-MLM-finetuned-4M_2
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transformers
pytorch
tensorboard
roberta
fill-mask
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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ChemBERTa-77M-MLM-finetuned-4M_2
This model is a fine-tuned version of
HassanCS/ChemBERTa-77M-MLM-finetuned-4M
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3695
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: 8
eval_batch_size: 8
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
0.3819
1.0
61007
0.4005
0.3493
2.0
122014
0.3785
0.3346
3.0
183021
0.3695
Framework versions
Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
