fine_tuned_t5_small_model_sec_5_v9

miasetya/fine_tuned_t5_small_model_sec_5_v9

fine_tuned_t5_small_model_sec_5_v9 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 5, 2024
Updated: Dec 5, 2024
SHA: 2b4f1e60

Base models

Model card

From the Hugging Face model README

fine_tuned_t5_small_model_sec_5_v9

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

Loss: 2.9233
Rouge1: 0.4101
Rouge2: 0.1642
Rougel: 0.2606
Rougelsum: 0.261
Gen Len: 106.2
Bert F1: 0.8748

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
3.8055	0.4211	40	3.3531	0.4104	0.1645	0.2612	0.2615	105.2158	0.8728
3.4146	0.8421	80	3.1246	0.411	0.1635	0.2605	0.2604	107.8895	0.8729
3.2835	1.2632	120	3.0346	0.4109	0.163	0.2605	0.2604	108.9737	0.8734
3.1514	1.6842	160	2.9919	0.4128	0.1602	0.2565	0.2564	108.3895	0.8738
3.1377	2.1053	200	2.9712	0.4191	0.1653	0.2628	0.2629	107.6316	0.8749
3.1172	2.5263	240	2.9573	0.4118	0.1607	0.2577	0.258	106.5632	0.8745
3.172	2.9474	280	2.9435	0.4093	0.1597	0.2574	0.2579	106.6474	0.8739
3.0956	3.3684	320	2.9338	0.4111	0.1627	0.2595	0.2598	106.8579	0.8742
3.0879	3.7895	360	2.9291	0.4115	0.1633	0.2597	0.2601	106.5368	0.8747
3.0762	4.2105	400	2.9250	0.4094	0.1629	0.2589	0.2592	105.9368	0.8746
3.0997	4.6316	440	2.9233	0.4101	0.1642	0.2606	0.261	106.2	0.8748

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 5, 2024
Updated: Dec 5, 2024