STS-Lora-Fine-Tuning-Capstone-roberta-base-deepset-filtered-120-with-higher-r-mid

rajevan123/STS-Lora-Fine-Tuning-Capstone-roberta-base-deepset-filtered-120-with-higher-r-mid

STS-Lora-Fine-Tuning-Capstone-roberta-base-deepset-filtered-120-with-higher-r-mid is a machine learning model from rajevan123. 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 cc-by-4.0.

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

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Hugging Face

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At a glance

Library: peft
License: cc-by-4.0
Access: Public
Created: Mar 28, 2024
Updated: Mar 28, 2024
SHA: 1144b437

Base models

deepset/roberta-base-squad2

Model card

From the Hugging Face model README

STS-Lora-Fine-Tuning-Capstone-roberta-base-deepset-filtered-120-with-higher-r-mid

This model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7040
Accuracy: 0.6854

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: 3e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	57	1.0545	0.4551
No log	2.0	114	1.0270	0.5
No log	3.0	171	0.9823	0.5262
No log	4.0	228	0.9416	0.5356
No log	5.0	285	0.8917	0.5805
No log	6.0	342	0.7931	0.6180
No log	7.0	399	0.7627	0.6423
No log	8.0	456	0.7679	0.6573
0.7963	9.0	513	0.7380	0.6610
0.7963	10.0	570	0.7256	0.6760
0.7963	11.0	627	0.7223	0.6742
0.7963	12.0	684	0.7255	0.6779
0.7963	13.0	741	0.7132	0.6779
0.7963	14.0	798	0.7097	0.6835
0.7963	15.0	855	0.7116	0.6760
0.7963	16.0	912	0.7200	0.6760
0.7963	17.0	969	0.7176	0.6760
0.615	18.0	1026	0.7133	0.6798
0.615	19.0	1083	0.7121	0.6798
0.615	20.0	1140	0.7117	0.6873
0.615	21.0	1197	0.7028	0.6816
0.615	22.0	1254	0.7033	0.6854
0.615	23.0	1311	0.7054	0.6798
0.615	24.0	1368	0.7059	0.6854
0.615	25.0	1425	0.6996	0.6835
0.615	26.0	1482	0.7045	0.6835
0.5826	27.0	1539	0.7032	0.6854
0.5826	28.0	1596	0.7030	0.6854
0.5826	29.0	1653	0.7046	0.6854
0.5826	30.0	1710	0.7040	0.6854

Framework versions

PEFT 0.10.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Library: peft
License: cc-by-4.0
Created: Mar 28, 2024
Updated: Mar 28, 2024