led_base_16384_docstring

juraj-juraj/led_base_16384_docstring

led_base_16384_docstring is a machine learning model from juraj-juraj. 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. 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

Library: transformers
License: apache-2.0
Model type: led
Access: Public
Created: Apr 1, 2024
Updated: Apr 4, 2024
SHA: 044c63f7

Base models

allenai/led-base-16384

Model card

From the Hugging Face model README

led_large_16384_docstring

This model is a fine-tuned version of allenai/led-base-16384 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.4572
Rouge2 Precision: 0.091
Rouge2 Recall: 0.2244
Rouge2 Fmeasure: 0.1219

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: 5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1500
num_epochs: 3.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
1.099	1.33	5000	1.5197	0.0898	0.22	0.1202
0.9149	2.67	10000	1.4572	0.091	0.2244	0.1219

Framework versions

Transformers 4.39.2
Pytorch 2.1.2+cu121
Datasets 2.14.5
Tokenizers 0.15.2

Library: transformers
Type: led
License: apache-2.0
Created: Apr 1, 2024
Updated: Apr 4, 2024