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flanT5_base_Task2_Fact_updates – AI Model by rishavranaut | AlphaNeural AI
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rishavranaut
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flanT5_base_Task2_Fact_updates
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transformers
tensorboard
safetensors
t5
text-classification
generated_from_trainer
google/flan-t5-base
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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flanT5_base_Task2_Fact_updates
This model is a fine-tuned version of
google/flan-t5-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5533
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: 1e-05
train_batch_size: 1
eval_batch_size: 1
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
Training results
Training Loss
Epoch
Step
Validation Loss
0.6835
1.0
5793
0.8141
0.0034
2.0
11586
0.5511
0.0003
3.0
17379
0.5200
1.3605
4.0
23172
0.5584
0.0336
5.0
28965
0.5533
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
