text-to-icpc2-0.1.0

diogocarapito/text-to-icpc2-0.1.0

text-to-icpc2-0.1.0 is a machine learning model from diogocarapito. 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 apache-2.0.

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

Downloads · 30 days

11% of all-time downloads

All-time downloads

Public

Parameters

110M

1.6 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors440 MB · 100%

At a glance

License: apache-2.0
Model type: bert
Access: Public
Created: Aug 18, 2024
Updated: Sep 5, 2024
SHA: 541a8736

Base models

Model card

From the Hugging Face model README

text-to-icpc2

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

Loss: 1.7544
Accuracy: 0.6679

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: 5e-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
num_epochs: 12

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
5.2683	1.0	1093	5.0759	0.0819
4.0898	2.0	2186	4.1968	0.2182
3.4238	3.0	3279	3.5428	0.3321
2.9107	4.0	4372	3.0363	0.4099
2.4188	5.0	5465	2.6765	0.4895
1.9262	6.0	6558	2.3752	0.5339
1.6271	7.0	7651	2.1641	0.5787
1.3296	8.0	8744	1.9912	0.6162
1.1168	9.0	9837	1.8705	0.6455
0.8994	10.0	10930	1.8159	0.6624
0.8697	11.0	12023	1.7745	0.6679
0.8058	12.0	13116	1.7544	0.6679

Framework versions

Transformers 4.44.0
Pytorch 2.2.2
Datasets 2.20.0
Tokenizers 0.19.1

Type: bert
License: apache-2.0
Created: Aug 18, 2024
Updated: Sep 5, 2024