my_awesome_model

Rahul13/my_awesome_model

my_awesome_model is a machine learning model from Rahul13. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

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

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Hugging Face

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At a glance

Model type: bert
Access: Public
Created: Sep 23, 2024
Updated: Sep 24, 2024
SHA: 9a0469bc

Base models

allenai/scibert_scivocab_uncased

Model card

From the Hugging Face model README

my_awesome_model

This model is a fine-tuned version of allenai/scibert_scivocab_uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5640
Accuracy: 0.7795

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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.184	0.0770	100	0.9294	0.6612
0.8519	0.1540	200	0.8007	0.7087
0.7555	0.2309	300	0.7204	0.7245
0.7065	0.3079	400	0.7121	0.7324
0.6499	0.3849	500	0.6654	0.7567
0.6504	0.4619	600	0.6227	0.7659
0.6421	0.5389	700	0.6104	0.7695
0.6298	0.6159	800	0.6094	0.7652
0.5851	0.6928	900	0.5852	0.7795
0.5903	0.7698	1000	0.5759	0.7828
0.5682	0.8468	1100	0.5769	0.7758
0.5809	0.9238	1200	0.5640	0.7795

Framework versions

Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1

Type: bert
Created: Sep 23, 2024
Updated: Sep 24, 2024