setup_2C – AI Model by Lakshya388 | AlphaNeural AI

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Lakshya388/
setup_2C

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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setup_2C

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

Loss: 2.0781
Bleu1: 0.2704
Bleu2: 0.1763
Bleu3: 0.1219
Bleu4: 0.087
Meteor: 0.3266
Bertscore Precision: 0.7963
Bertscore Recall: 0.7572
Bertscore F1: 0.7756
Gen Len: 16.9447

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu1	Bleu2	Bleu3	Bleu4	Meteor	Bertscore Precision	Bertscore Recall	Bertscore F1	Gen Len
2.3795	1.0	3125	2.1232	0.2656	0.1704	0.1161	0.082	0.3158	0.7927	0.7541	0.7723	16.9152
2.2942	2.0	6250	2.0867	0.2707	0.1762	0.1214	0.0865	0.3256	0.7957	0.7568	0.7752	16.9258
2.2602	3.0	9375	2.0781	0.2704	0.1763	0.1219	0.087	0.3266	0.7963	0.7572	0.7756	16.9447

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2