distilbert_enron_hf_format_ft_v2

DymiumSpencer/distilbert_enron_hf_format_ft_v2

distilbert_enron_hf_format_ft_v2 is a token classification model from DymiumSpencer. 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: distilbert
Access: Public
Created: Mar 9, 2024
Updated: Mar 12, 2024
SHA: 8d9c247e

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Base models

distilbert/distilbert-base-uncased

Model card

From the Hugging Face model README

distilbert_enron_hf_format_ft_v2

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

Loss: 0.0056
Precision: 0.8276
Recall: 0.9116
F1: 0.8675
Accuracy: 0.9980

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
0.0389	1.0	594	0.0067	0.8154	0.8854	0.8490	0.9977
0.0063	2.0	1188	0.0056	0.8276	0.9116	0.8675	0.9980

Framework versions

Transformers 4.31.0
Pytorch 2.0.1
Datasets 2.14.6
Tokenizers 0.13.3

Task: Token Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Mar 9, 2024
Updated: Mar 12, 2024