You can deploy this model and start earning money today!

yangzhang33/
scibert_scivocab_uncased-finetuned-plm24-mlm-0.3-10epochs

Name: scibert_scivocab_uncased-finetuned-plm24-mlm-0.3-10epochs
Availability: InStock

generated_from_trainer

allenai/scibert_scivocab_uncased

finetune

autotrain_compatible

endpoints_compatible

Views

No views yet

scibert_scivocab_uncased-finetuned-plm24-mlm-0.3-10epochs

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: 0.0454

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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.1073	1.0	3301	0.0635
0.0658	2.0	6602	0.0563
0.0589	3.0	9903	0.0535
0.0555	4.0	13204	0.0515
0.053	5.0	16505	0.0494
0.0509	6.0	19806	0.0486
0.0496	7.0	23107	0.0473
0.0486	8.0	26408	0.0466
0.0477	9.0	29709	0.0462
0.0468	10.0	33010	0.0457

Framework versions

Transformers 4.38.2
Pytorch 2.0.1
Datasets 2.18.0
Tokenizers 0.15.2

yangzhang33/scibert_scivocab_uncased-finetuned-plm24-mlm-0.3-10epochs

scibert_scivocab_uncased-finetuned-plm24-mlm-0.3-10epochs

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

yangzhang33/
scibert_scivocab_uncased-finetuned-plm24-mlm-0.3-10epochs