T5_base_title – AI Model by Swarnava | AlphaNeural AI

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Swarnava/
T5_base_title

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text2text-generation

generated_from_trainer

google-t5/t5-base

text-generation-inference

endpoints_compatible

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T5_base_title

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

Loss: 2.0487
Rouge1: 0.3848
Rouge2: 0.1901
Rougel: 0.3297
Rougelsum: 0.3288
Gen Len: 16.795

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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
No log	1.0	200	2.0966	0.3525	0.165	0.2921	0.2934	17.4
No log	2.0	400	2.0533	0.3706	0.1775	0.3145	0.3147	16.52
2.2032	3.0	600	2.0453	0.3754	0.1867	0.3226	0.3227	16.68
2.2032	4.0	800	2.0383	0.379	0.1887	0.3246	0.3243	16.36
1.8535	5.0	1000	2.0376	0.3849	0.1881	0.3269	0.3267	16.755
1.8535	6.0	1200	2.0416	0.378	0.1792	0.3236	0.3228	16.84
1.8535	7.0	1400	2.0445	0.3805	0.1848	0.3249	0.3248	16.65
1.692	8.0	1600	2.0484	0.3876	0.187	0.3289	0.3285	16.845
1.692	9.0	1800	2.0473	0.3891	0.1912	0.3325	0.332	16.815
1.6276	10.0	2000	2.0487	0.3848	0.1901	0.3297	0.3288	16.795

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2