five_epoch – AI Model by vsamuel | AlphaNeural AI

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vsamuel/
five_epoch

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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five_epoch

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

Loss: 2.7970
Rouge1: 0.2098
Rouge2: 0.0823
Rougel: 0.1904
Rougelsum: 0.1905
Gen Len: 17.47

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	107	3.2569	0.1107	0.018	0.0981	0.0978	18.5
No log	2.0	214	2.9546	0.1386	0.0334	0.1187	0.1186	18.09
No log	3.0	321	2.8548	0.1721	0.0587	0.1544	0.1544	17.76
No log	4.0	428	2.8110	0.204	0.0774	0.1862	0.1871	17.64
3.1308	5.0	535	2.7970	0.2098	0.0823	0.1904	0.1905	17.47

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0