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gec-flan-t5-large-stage-2-v3 – AI Model by 512duncanl | AlphaNeural AI
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512duncanl
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gec-flan-t5-large-stage-2-v3
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
512duncanl/gec-flan-t5-large
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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gec-flan-t5-large-stage-2-v3
This model is a fine-tuned version of
512duncanl/gec-flan-t5-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2224
F0.5: 0.6616
Precision: 0.7074
Recall: 0.5254
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: 22
eval_batch_size: 22
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 3
total_train_batch_size: 66
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: constant_with_warmup
lr_scheduler_warmup_ratio: 0.05
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
F0.5
Precision
Recall
0.2945
1.0
561
0.2372
0.6601
0.7110
0.5133
0.2459
2.0
1122
0.2224
0.6616
0.7074
0.5254
Framework versions
Transformers 4.54.0
Pytorch 2.7.1+cu128
Datasets 4.0.0
Tokenizers 0.21.2
