lora_fine_tuned_copa_XLMroberta

anzeo/lora_fine_tuned_copa_XLMroberta

lora_fine_tuned_copa_XLMroberta is a machine learning model from anzeo. 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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At a glance

Library: peft
License: mit
Access: Public
Created: May 21, 2024
Updated: May 21, 2024
SHA: 151e12d2

Base models

Model card

From the Hugging Face model README

lora_fine_tuned_copa_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: 0.6929
Accuracy: 0.59
F1: 0.5884

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
0.6985	1.0	50	0.6928	0.57	0.5695
0.7012	2.0	100	0.6928	0.58	0.58
0.6935	3.0	150	0.6929	0.58	0.5790
0.6897	4.0	200	0.6929	0.58	0.5776
0.6973	5.0	250	0.6929	0.6	0.5990
0.6982	6.0	300	0.6929	0.59	0.5884
0.6981	7.0	350	0.6929	0.59	0.5884
0.6999	8.0	400	0.6929	0.59	0.5884

Framework versions

PEFT 0.10.1.dev0
Transformers 4.40.1
Pytorch 2.1.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Library: peft
License: mit
Created: May 21, 2024
Updated: May 21, 2024