distilbert-base-uncased_new_ner_format_fn_on_csv_2_epochs

bisoye/distilbert-base-uncased_new_ner_format_fn_on_csv_2_epochs

distilbert-base-uncased_new_ner_format_fn_on_csv_2_epochs is a machine learning model from bisoye. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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

License: apache-2.0
Model type: distilbert
Access: Public
Created: Oct 9, 2024
Updated: Oct 12, 2024
SHA: 1c3ba693

Base models

Model card

From the Hugging Face model README

distilbert-base-uncased_new_ner_format_fn_on_csv_2_epochs

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: 0.0607
Accuracy: 0.982

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: 0.0002
train_batch_size: 4
eval_batch_size: 4
seed: 1010
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	Accuracy
0.0901	1.0	2370	0.0895	0.9782
0.0577	2.0	4740	0.0607	0.982

Framework versions

Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1

Type: distilbert
License: apache-2.0
Created: Oct 9, 2024
Updated: Oct 12, 2024