prompt_fine_tuned_CB_XLMroberta

lenatr99/prompt_fine_tuned_CB_XLMroberta

prompt_fine_tuned_CB_XLMroberta is a machine learning model from lenatr99. 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 peft. The card lists the license as mit.

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

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Hugging Face

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At a glance

Library: peft
License: mit
Access: Public
Created: May 20, 2024
Updated: May 20, 2024
SHA: abb86adb

Base models

Model card

From the Hugging Face model README

prompt_fine_tuned_CB_XLMroberta

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

Loss: 1.4733
Accuracy: 0.3182
F1: 0.1536

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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 400

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.9542	0.4545	50	1.1060	0.3182	0.1536
0.8627	0.9091	100	1.1621	0.3182	0.1536
0.6647	1.3636	150	1.2304	0.3182	0.1536
0.8065	1.8182	200	1.3215	0.3182	0.1536
0.7675	2.2727	250	1.3718	0.3182	0.1536
0.8203	2.7273	300	1.4238	0.3182	0.1536
0.7817	3.1818	350	1.4576	0.3182	0.1536
0.7012	3.6364	400	1.4733	0.3182	0.1536

Framework versions

PEFT 0.11.1
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Library: peft
License: mit
Created: May 20, 2024
Updated: May 20, 2024