byt5_small_finetune_summarize_main_model – AI Model by OmarHaroon01 | AlphaNeural AI

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OmarHaroon01/
byt5_small_finetune_summarize_main_model

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text2text-generation

generated_from_trainer

google/t5-v1_1-small

text-generation-inference

endpoints_compatible

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byt5_small_finetune_summarize_main_model

This model is a fine-tuned version of google/t5-v1_1-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.5942
Rouge1: 7.0544
Rouge2: 0.4256
Rougel: 6.3609
Rougelsum: 6.7021
Gen Len: 97.4725

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: 5e-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
6.7669	1.0	1842	3.5277	4.2672	0.0086	4.1248	4.1938	98.8828
5.0736	2.0	3684	3.0404	4.6185	0.0587	4.4003	4.5195	98.6239
4.4296	3.0	5526	2.7410	5.3592	0.058	5.0985	5.2166	98.3321
4.1461	4.0	7368	2.6389	6.371	0.3169	5.9564	6.153	97.2772
3.9633	5.0	9210	2.5942	7.0544	0.4256	6.3609	6.7021	97.4725

Framework versions

Transformers 4.38.1
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2