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t5_qa_model – AI Model by smrynrz20 | AlphaNeural AI
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t5_qa_model
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transformers
tensorboard
safetensors
t5
question-answering
generated_from_trainer
google/flan-t5-base
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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t5_qa_model
This model is a fine-tuned version of
google/flan-t5-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.4929
F1: 0.6518
Exact Match: 0.436
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: 3.7185140364032e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
F1
Exact Match
5.0477
1.0
125
3.0921
0.3486
0.194
2.8419
2.0
250
1.6574
0.6109
0.39
2.0771
3.0
375
1.4929
0.6518
0.436
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
