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diffusion_prompt – AI Model by Shamima | AlphaNeural AI
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Shamima
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diffusion_prompt
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transformers
safetensors
roberta
fill-mask
generated_from_trainer
diffusiondb
distilbert/distilroberta-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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diffusion_prompt
This model is a fine-tuned version of
distilroberta-base
on the diffusiondb dataset. It achieves the following results on the evaluation set:
Loss: 1.3442
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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
171
1.5182
No log
2.0
342
1.4020
1.6418
3.0
513
1.3474
Framework versions
Transformers 4.41.2
Pytorch 2.3.1+cu121
Datasets 2.19.2
Tokenizers 0.19.1
