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flant5-small-finetuning – AI Model by tuquyennnn | AlphaNeural AI
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flant5-small-finetuning
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
google/flan-t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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flant5-small-finetuning
This model is a fine-tuned version of
google/flan-t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: nan
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6
Training results
Training Loss
Epoch
Step
Validation Loss
35680616.448
0.64
500
nan
0.0
1.28
1000
nan
0.0
1.93
1500
nan
0.0
2.57
2000
nan
0.0
3.21
2500
nan
0.0
3.85
3000
nan
0.0
4.49
3500
nan
0.0
5.14
4000
nan
0.0
5.78
4500
nan
Framework versions
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.19.0
Tokenizers 0.15.2
