fine_tuned_t5_small_model_sec_5_v4

miasetya/fine_tuned_t5_small_model_sec_5_v4

fine_tuned_t5_small_model_sec_5_v4 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: ac8b5581

Base models

Model card

From the Hugging Face model README

fine_tuned_t5_small_model_sec_5_v4

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

Loss: 2.8764
Rouge1: 0.355
Rouge2: 0.1153
Rougel: 0.2143
Rougelsum: 0.2145
Gen Len: 78.3077
Bert F1: 0.8693

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: 16
eval_batch_size: 16
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: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len	Bert F1
3.6662	0.6667	20	3.4084	0.3269	0.1126	0.216	0.215	57.9487	0.8683
3.5242	1.3333	40	3.1961	0.3466	0.1162	0.2206	0.2198	64.5983	0.8691
3.2821	2.0	60	3.0743	0.3538	0.1216	0.2251	0.2246	68.8718	0.8692
3.215	2.6667	80	3.0090	0.3558	0.1177	0.2198	0.2189	77.4786	0.8688
3.0862	3.3333	100	2.9625	0.3572	0.1138	0.2156	0.2154	82.1197	0.8679
3.1459	4.0	120	2.9354	0.3607	0.1192	0.2201	0.2201	82.4872	0.8684
3.1067	4.6667	140	2.9168	0.3565	0.1157	0.2132	0.2131	80.3675	0.8686
3.0274	5.3333	160	2.9061	0.3554	0.1147	0.2134	0.2132	80.8974	0.8687
3.0695	6.0	180	2.8974	0.356	0.1135	0.2147	0.2146	80.9316	0.8686
3.0547	6.6667	200	2.8897	0.3528	0.1123	0.2119	0.2114	79.3248	0.8684
3.0037	7.3333	220	2.8846	0.3522	0.1122	0.2108	0.211	79.265	0.8685
3.0316	8.0	240	2.8806	0.354	0.1149	0.2134	0.2134	78.6581	0.8689
3.0027	8.6667	260	2.8786	0.354	0.1151	0.2129	0.213	78.1624	0.8693
3.0372	9.3333	280	2.8769	0.355	0.1153	0.2143	0.2145	78.3077	0.8693
3.0197	10.0	300	2.8764	0.355	0.1153	0.2143	0.2145	78.3077	0.8693

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