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gec-flan-t5-large – AI Model by 512duncanl | AlphaNeural AI
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512duncanl
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gec-flan-t5-large
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
en
512duncanl/c4_200m_cleaned_365k
google/flan-t5-large
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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gec-flan-t5-large
This model is a fine-tuned version of
google/flan-t5-large
on
512duncanl/c4_200m_cleaned_365k
, a cleaned subset of Google's
C4 200M
. It achieves the following results on the evaluation set:
Loss: 0.2685
F0.5: 0.3635
Precision: 0.3859
Recall: 0.2950
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: 0.0001
train_batch_size: 24
eval_batch_size: 24
seed: 42
distributed_type: multi-GPU
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
F0.5
Precision
Recall
0.3053
1.0
15000
0.2711
0.3514
0.3728
0.2856
0.2713
2.0
30000
0.2685
0.3635
0.3859
0.2950
Framework versions
Transformers 4.53.2
Pytorch 2.7.1+cu128
Datasets 4.0.0
Tokenizers 0.21.2
