distilbert-base-uncased-finetuned-human_or_bot

adam-faulkner/distilbert-base-uncased-finetuned-human_or_bot

distilbert-base-uncased-finetuned-human_or_bot is a fill-mask model from adam-faulkner. Use it when you need the model to fill a missing word. 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: Fill-Mask
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Sep 30, 2024
Updated: Sep 30, 2024
SHA: 1d313ca7

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Base models

Model card

From the Hugging Face model README

distilbert-base-uncased-finetuned-human_or_bot

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

Loss: 2.2783
Model Preparation Time: 0.003

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time
2.4448	1.0	94	2.2578	0.003
2.3524	2.0	188	2.1948	0.003
2.3154	3.0	282	2.2357	0.003

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1

Task: Fill-Mask
Library: transformers
Type: distilbert
License: apache-2.0
Created: Sep 30, 2024
Updated: Sep 30, 2024