lora_fine_tuned_rte_XLMroberta

lenatr99/lora_fine_tuned_rte_XLMroberta

lora_fine_tuned_rte_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. --

Downloads · 30 days

31% of all-time downloads

All-time downloads

Public

Repo size

26.9 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.json17.1 MB · 63%

At a glance

Library: peft
License: mit
Access: Public
Created: May 23, 2024
Updated: May 23, 2024
SHA: 8c44015a

Base models

Model card

From the Hugging Face model README

lora_fine_tuned_rte_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: 0.6924
Accuracy: 0.5172
F1: 0.4944

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: 8
eval_batch_size: 8
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
0.6917	1.7241	50	0.7067	0.4138	0.2422
0.6974	3.4483	100	0.6924	0.5862	0.4333
0.697	5.1724	150	0.6968	0.4138	0.2422
0.6961	6.8966	200	0.6947	0.5172	0.4660
0.6952	8.6207	250	0.6947	0.4138	0.2951
0.6917	10.3448	300	0.6934	0.5517	0.5517
0.6907	12.0690	350	0.6923	0.4828	0.4479
0.6936	13.7931	400	0.6924	0.5172	0.4944

Framework versions

PEFT 0.11.1
Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Library: peft
License: mit
Created: May 23, 2024
Updated: May 23, 2024