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T5-pubmed-3072-epoch2 – AI Model by LA1512 | AlphaNeural AI
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LA1512
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T5-pubmed-3072-epoch2
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transformers
safetensors
longt5
text2text-generation
generated_from_trainer
Quy0412/results
finetune
bsd-3-clause
endpoints_compatible
us
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results
This model is a fine-tuned version of
Quy0412/results
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.0867
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: 5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 400
num_epochs: 1
label_smoothing_factor: 0.1
Training results
Training Loss
Epoch
Step
Validation Loss
3.3665
0.16
200
3.1475
3.3281
0.32
400
3.1312
3.2417
0.48
600
3.1140
3.222
0.64
800
3.1001
3.2687
0.8
1000
3.0912
3.302
0.96
1200
3.0867
Framework versions
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2
