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T5_small_phase_1 – AI Model by HafijulHoquenabid2 | AlphaNeural AI
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T5_small_phase_1
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
question-answering
google-t5/t5-small
finetune
apache-2.0
text-generation-inference
endpoints_compatible
us
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T5_small_phase_1
This model is a fine-tuned version of
google-t5/t5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.3335
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: 3e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
2.4577
1.0
149
2.4318
2.3514
2.0
298
2.3682
2.2746
3.0
447
2.3420
2.212
4.0
596
2.3335
Framework versions
Transformers 4.42.4
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
