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@@ -14,55 +14,4 @@ should probably proofread and complete it, then remove this comment. -->
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  # smol-3b
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- This model is a fine-tuned version of [GeneZC/MiniChat-1.5-3B](https://huggingface.co/GeneZC/MiniChat-1.5-3B) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 10.6857
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- ## Model description
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- More information needed
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- ## Intended uses & limitations
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- More information needed
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- ## Training and evaluation data
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- More information needed
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- ## Training procedure
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- ### Training hyperparameters
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- The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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- - train_batch_size: 4
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- - eval_batch_size: 8
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- - seed: 42
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- - distributed_type: multi-GPU
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- - gradient_accumulation_steps: 128
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- - total_train_batch_size: 512
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- - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- - lr_scheduler_type: cosine
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- - num_epochs: 1
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- ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 11.2151 | 0.16 | 3 | 10.6857 |
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- ### Framework versions
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- - Transformers 4.36.0.dev0
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- - Pytorch 2.1.1+cu121
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- - Datasets 2.14.6
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- - Tokenizers 0.15.0
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- ## Training procedure
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- ### Framework versions
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- - PEFT 0.6.1
 
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  # smol-3b
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+ See how open weights instead of open source feel like!