Sean Halpin
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update model card README.md
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README.md
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<!-- This model card has been generated automatically according to the information the training script had access to. You
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should probably proofread and complete it, then remove this comment. -->
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#
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size:
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- eval_batch_size:
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- gradient_accumulation_steps: 1
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- optimizer: AdamW with betas=(0.95, 0.999), weight_decay=1e-06 and epsilon=1e-08
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- lr_scheduler: cosine
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### Training results
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📈 [TensorBoard logs](https://huggingface.co/shalpin87/
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<!-- This model card has been generated automatically according to the information the training script had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# diffusion_conditional
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 32
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- eval_batch_size: 32
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- gradient_accumulation_steps: 1
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- optimizer: AdamW with betas=(0.95, 0.999), weight_decay=1e-06 and epsilon=1e-08
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- lr_scheduler: cosine
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### Training results
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📈 [TensorBoard logs](https://huggingface.co/shalpin87/diffusion_conditional/tensorboard?#scalars)
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