RobertaLr3e-6Wd0.35

hsmith-morganhill/RobertaLr3e-6Wd0.35

RobertaLr3e-6Wd0.35 is a machine learning model from hsmith-morganhill. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-4.0.

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

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At a glance

License: cc-by-4.0
Model type: roberta
Access: Public
Created: Aug 7, 2024
Updated: Aug 7, 2024
SHA: 401ca4da

Base models

deepset/roberta-base-squad2

Model card

From the Hugging Face model README

RobertaLr3e-6Wd0.35

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: 0.5928

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-06
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss
1.8148	1.0	72	1.1913
0.553	2.0	144	0.8920
0.716	3.0	216	0.7522
1.385	4.0	288	0.6692
0.3029	5.0	360	0.6345
0.353	6.0	432	0.6160
0.3066	7.0	504	0.6177
0.1599	8.0	576	0.6247
0.5259	9.0	648	0.6243
0.8448	10.0	720	0.5946
0.0379	11.0	792	0.5953
0.4382	12.0	864	0.5928

Framework versions

Transformers 4.41.2
Pytorch 2.4.0
Datasets 2.20.0
Tokenizers 0.19.1

Type: roberta
License: cc-by-4.0
Created: Aug 7, 2024
Updated: Aug 7, 2024