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temp_checkpoints – AI Model by Dohahemdann | AlphaNeural AI
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Dohahemdann
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temp_checkpoints
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peft
safetensors
generated_from_trainer
google/flan-t5-xl
adapter
apache-2.0
us
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temp_checkpoints
This model is a fine-tuned version of
google/flan-t5-xl
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.4735
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.1782
0.3458
500
1.5188
1.9895
0.6917
1000
1.4735
Framework versions
PEFT 0.15.2
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2
