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yangzhang33/
scibert_scivocab_uncased-finetuned-mol-mlm-0.3

Name: scibert_scivocab_uncased-finetuned-mol-mlm-0.3
Availability: InStock

generated_from_trainer

allenai/scibert_scivocab_uncased

finetune

autotrain_compatible

endpoints_compatible

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scibert_scivocab_uncased-finetuned-mol-mlm-0.3

This model is a fine-tuned version of allenai/scibert_scivocab_uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5049

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: 12
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.8725	1.0	180	0.6730
0.6668	2.0	360	0.6203
0.6078	3.0	540	0.5739
0.5656	4.0	720	0.5537
0.5385	5.0	900	0.5483
0.5163	6.0	1080	0.5335
0.5043	7.0	1260	0.5350
0.4927	8.0	1440	0.5173
0.4841	9.0	1620	0.5093
0.4765	10.0	1800	0.5058
0.4709	11.0	1980	0.5104
0.4673	12.0	2160	0.5017

Framework versions

Transformers 4.36.2
Pytorch 2.0.1
Datasets 2.16.1
Tokenizers 0.15.0

yangzhang33/scibert_scivocab_uncased-finetuned-mol-mlm-0.3

scibert_scivocab_uncased-finetuned-mol-mlm-0.3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

yangzhang33/
scibert_scivocab_uncased-finetuned-mol-mlm-0.3