qaharoldv1 – AI Model by hr-wesbeaver | AlphaNeural AI

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hr-wesbeaver/
qaharoldv1

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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qaharoldv1

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1674
Rouge1: 0.9279
Rouge2: 0.8593
Rougel: 0.9205
Gen Len: 70.0435

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: 12
eval_batch_size: 12
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	0.76	100	0.2700	0.8771	0.7606	0.8652	70.0435
No log	1.52	200	0.2165	0.9031	0.8152	0.895	70.0435
No log	2.27	300	0.2012	0.905	0.818	0.8978	70.0435
No log	3.03	400	0.1828	0.9113	0.8278	0.9027	70.0435
No log	3.79	500	0.1774	0.9095	0.8246	0.9013	70.0435
No log	4.55	600	0.1732	0.9145	0.8371	0.9084	70.0435
No log	5.3	700	0.1654	0.9177	0.8423	0.9101	70.0435
No log	6.06	800	0.1694	0.9187	0.8397	0.9115	70.0435
No log	6.82	900	0.1690	0.92	0.8467	0.913	70.0435
No log	7.58	1000	0.1674	0.9198	0.846	0.9129	70.0435
No log	8.33	1100	0.1664	0.9262	0.8552	0.919	70.0435
No log	9.09	1200	0.1682	0.9267	0.8568	0.9195	70.0435
No log	9.85	1300	0.1674	0.9279	0.8593	0.9205	70.0435

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.16.1
Tokenizers 0.15.2