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biorecall-flan-t5-small-reasoning – AI Model by sharraks97 | AlphaNeural AI
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biorecall-flan-t5-small-reasoning
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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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biorecall-flan-t5-small-reasoning
This model is a fine-tuned version of
google/flan-t5-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.3262
Bertscore F1: 0.5967
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: 0.0003
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Bertscore F1
No log
1.0
219
2.3386
0.5943
No log
2.0
438
2.3287
0.5959
2.4809
3.0
657
2.3181
0.5977
2.4809
4.0
876
2.3200
0.5991
2.2488
5.0
1095
2.3262
0.5967
Framework versions
Transformers 4.57.1
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.22.1
