summeraiztion_t5base_en_to_kjven – AI Model by Yonadav | AlphaNeural AI

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Yonadav/
summeraiztion_t5base_en_to_kjven

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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summeraiztion_t5base_en_to_kjven

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

Loss: 0.7702
Bleu: 23.612
Gen Len: 18.1576

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: 32
eval_batch_size: 32
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	Bleu	Gen Len
1.0705	1.0	2860	0.9540	21.4263	18.131
0.9753	2.0	5720	0.8850	22.278	18.1371
0.9191	3.0	8580	0.8482	22.6985	18.1433
0.8845	4.0	11440	0.8207	23.0513	18.146
0.8654	5.0	14300	0.8015	23.2476	18.1499
0.8443	6.0	17160	0.7891	23.4193	18.1525
0.8175	7.0	20020	0.7820	23.5084	18.1548
0.8192	8.0	22880	0.7741	23.538	18.1576
0.8077	9.0	25740	0.7712	23.5967	18.1572
0.8096	10.0	28600	0.7702	23.612	18.1576

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3