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flant5-highlr – AI Model by joel4899 | AlphaNeural AI
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joel4899
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flant5-highlr
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
google-t5/t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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flan-t5-finetuned-kaggle-high
This model is a fine-tuned version of
t5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1123
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: 3e-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
lr_scheduler_warmup_steps: 500
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.8979
1.0
332
0.4336
0.171
2.0
664
0.1352
0.1513
3.0
996
0.1190
0.1502
4.0
1328
0.1132
0.1422
5.0
1660
0.1123
Framework versions
Transformers 4.45.1
Pytorch 2.4.0+cpu
Datasets 3.0.1
Tokenizers 0.20.0
