qaharoldv1-expediaexp1

handraise-dev/qaharoldv1-expediaexp1

qaharoldv1-expediaexp1 is a machine learning model from handraise-dev. 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: Jul 2, 2024
Updated: Jul 17, 2024
SHA: ae011a27

Base models

Model card

From the Hugging Face model README

qaharoldv1-expediaexp1

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

Loss: 0.4137
Rouge1: 0.8305
Rouge2: 0.6845
Rougel: 0.8105
Gen Len: 71.1

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: 0.0004
train_batch_size: 6
eval_batch_size: 6
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Gen Len
No log	0.48	100	0.5590	0.7684	0.5676	0.7355	71.1
No log	0.95	200	0.4939	0.7921	0.6073	0.7614	71.1
No log	1.43	300	0.4513	0.8005	0.6189	0.7711	71.1
No log	1.9	400	0.4188	0.8075	0.6419	0.7838	71.1
No log	2.38	500	0.4230	0.8123	0.6549	0.7912	71.1
No log	2.86	600	0.4149	0.8186	0.6678	0.8013	71.1
No log	3.33	700	0.4090	0.8155	0.6574	0.796	71.1
No log	3.81	800	0.4066	0.8238	0.6643	0.8009	71.1
No log	4.29	900	0.4030	0.8253	0.668	0.8024	71.1
No log	4.76	1000	0.4037	0.8211	0.6729	0.8034	71.1
No log	5.24	1100	0.4066	0.8199	0.6662	0.8003	71.1
No log	5.71	1200	0.4065	0.8249	0.666	0.8024	71.1
No log	6.19	1300	0.4216	0.828	0.6858	0.8105	71.1
No log	6.67	1400	0.3972	0.8318	0.6869	0.8129	71.1
No log	7.14	1500	0.4047	0.8297	0.6839	0.8111	71.1
No log	7.62	1600	0.4083	0.8294	0.6859	0.811	71.1
No log	8.1	1700	0.4071	0.8305	0.6831	0.8094	71.1
No log	8.57	1800	0.4080	0.8307	0.6868	0.8115	71.1
No log	9.05	1900	0.4098	0.831	0.6864	0.8111	71.1
No log	9.52	2000	0.4145	0.8299	0.6838	0.8099	71.1
No log	10.0	2100	0.4137	0.8305	0.6845	0.8105	71.1

Framework versions

Transformers 4.36.2
Pytorch 2.2.2+cu121
Datasets 2.2.1
Tokenizers 0.15.2

Library: transformers
Type: t5
License: apache-2.0
Created: Jul 2, 2024
Updated: Jul 17, 2024