assignment2_meher_test1

meher-m2/assignment2_meher_test1

assignment2_meher_test1 is a token classification model from meher-m2. Use it when you need labels on individual words, such as names. 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: Token Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Oct 26, 2023
Updated: Oct 26, 2023
SHA: 1843458c

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Base models

Model card

From the Hugging Face model README

assignment2_meher_test1

This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4261
Precision: 0.275
Recall: 0.0932
F1: 0.1392
Accuracy: 0.9417

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

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	128	0.3722	0.1143	0.0339	0.0523	0.9402
No log	2.0	256	0.3779	0.2041	0.0847	0.1198	0.9405
No log	3.0	384	0.4261	0.275	0.0932	0.1392	0.9417

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

Task: Token Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Oct 26, 2023
Updated: Oct 26, 2023