bert-base-uncased-finetuned-mol-mlm-0.3

yangzhang33/bert-base-uncased-finetuned-mol-mlm-0.3

bert-base-uncased-finetuned-mol-mlm-0.3 is a fill-mask model from yangzhang33. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Fill-Mask
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jan 9, 2024
Updated: Jan 9, 2024
SHA: 7fa4aaad

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Base models

Model card

From the Hugging Face model README

bert-base-uncased-finetuned-mol-mlm-0.3

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7383

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: 96
eval_batch_size: 96
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	70	1.1518
No log	2.0	140	0.9808
1.2493	3.0	210	0.9117
1.2493	4.0	280	0.8540
1.2493	5.0	350	0.8172
0.8816	6.0	420	0.8098
0.8816	7.0	490	0.7758
0.8816	8.0	560	0.7625
0.7906	9.0	630	0.7569
0.7906	10.0	700	0.7460
0.7906	11.0	770	0.7504
0.7557	12.0	840	0.7353

Framework versions

Transformers 4.33.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.10.1
Tokenizers 0.13.3

Task: Fill-Mask
Library: transformers
Type: bert
License: apache-2.0
Created: Jan 9, 2024
Updated: Jan 9, 2024