results

Adokato/results

results is a machine learning model from Adokato. 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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Hugging Face

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At a glance

Library: transformers
License: apache-2.0
Model type: bart
Access: Public
Created: Apr 12, 2024
Updated: Apr 25, 2024
SHA: 06ff726f

Base models

eugenesiow/bart-paraphrase

Model card

From the Hugging Face model README

results

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

Loss: 2.1435

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
5.2622	0.9968	154	4.8920
4.4409	2.0	309	3.8232
3.8001	2.9968	463	3.3055
3.4922	4.0	618	2.9036
3.2041	4.9968	772	2.6903
3.0911	6.0	927	2.4548
2.7878	6.9968	1081	2.4292
2.7969	8.0	1236	2.2862
2.5457	8.9968	1390	2.1846
2.6063	9.9676	1540	2.2019

Framework versions

Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Library: transformers
Type: bart
License: apache-2.0
Created: Apr 12, 2024
Updated: Apr 25, 2024