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flan-t5-small-mrqa – AI Model by enriquesaou | AlphaNeural AI
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flan-t5-small-mrqa
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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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flan-t5-small-mrqa
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: 0.7555
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: 12
eval_batch_size: 12
seed: 42
gradient_accumulation_steps: 3
total_train_batch_size: 36
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 7
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0.9984
416
0.8355
1.0359
1.9992
833
0.7848
0.8826
3.0
1250
0.7680
0.819
3.9984
1666
0.7622
0.7761
4.9992
2083
0.7541
0.77
6.0
2500
0.7569
0.77
6.9888
2912
0.7555
Framework versions
Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
