fine_tuned_t5_small_model_sec_5_v5

miasetya/fine_tuned_t5_small_model_sec_5_v5

fine_tuned_t5_small_model_sec_5_v5 is a machine learning model from miasetya. 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 transformers. The card lists the license as apache-2.0.

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

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At a glance

Library: transformers
License: apache-2.0
Model type: t5
Access: Public
Created: Dec 4, 2024
Updated: Dec 4, 2024
SHA: d7fa4d10

Base models

Model card

From the Hugging Face model README

fine_tuned_t5_small_model_sec_5_v5

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.8447
Rouge1: 0.3701
Rouge2: 0.1378
Rougel: 0.2427
Rougelsum: 0.2427
Gen Len: 78.0105
Bert F1: 0.8699

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len	Bert F1
3.8604	0.4211	40	3.2077	0.3522	0.1312	0.2314	0.2321	60.8684	0.8715
3.4406	0.8421	80	3.0222	0.3615	0.1333	0.2327	0.2331	70.9421	0.8725
3.2592	1.2632	120	2.9491	0.3796	0.1401	0.2392	0.2395	81.9421	0.8728
3.1817	1.6842	160	2.9082	0.3791	0.135	0.2382	0.2383	83.7579	0.873
3.1808	2.1053	200	2.8893	0.3817	0.1403	0.2433	0.2436	82.9211	0.8741
3.1333	2.5263	240	2.8745	0.3737	0.1365	0.2427	0.2431	80.8632	0.8735
3.1758	2.9474	280	2.8623	0.3751	0.142	0.245	0.2452	79.6526	0.8744
3.0898	3.3684	320	2.8559	0.3739	0.1407	0.2441	0.2443	80.1684	0.8741
3.1227	3.7895	360	2.8499	0.3739	0.1406	0.2458	0.2456	78.8789	0.8743
3.0641	4.2105	400	2.8467	0.3678	0.1368	0.2418	0.2418	78.2053	0.8691
3.0768	4.6316	440	2.8447	0.3701	0.1378	0.2427	0.2427	78.0105	0.8699

Framework versions

Transformers 4.46.3
Pytorch 2.4.0
Datasets 3.1.0
Tokenizers 0.20.3

Library: transformers
Type: t5
License: apache-2.0
Created: Dec 4, 2024
Updated: Dec 4, 2024