bert-base-cnn-ft

harish3742/bert-base-cnn-ft

bert-base-cnn-ft is a machine learning model from harish3742. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.

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

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At a glance

Library: transformers
Model type: encoder-decoder
Access: Public
Created: May 5, 2024
Updated: May 5, 2024
SHA: 8830ebe5

Model card

From the Hugging Face model README

bert-base-cnn-ft

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

Loss: 0.0014
Rouge1: 0.0294
Rouge2: 0.0002
Rougel: 0.0284
Rougelsum: 0.0284
Gen Len: 60.0

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: 1e-05
train_batch_size: 12
eval_batch_size: 12
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
training_steps: 200
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.0352	0.0167	100	0.0099	0.0352	0.0002	0.0308	0.0308	60.0
0.0124	0.0334	200	0.0014	0.0294	0.0002	0.0284	0.0284	60.0

Framework versions

Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Library: transformers
Type: encoder-decoder
Created: May 5, 2024
Updated: May 5, 2024