Angelectronic
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End of training
Browse files
README.md
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license: apache-2.0
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library_name: peft
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tags:
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- unsloth
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- trl
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- sft
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- generated_from_trainer
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base_model: unsloth/llama-3-8b-Instruct-bnb-4bit
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model-index:
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# llama3-chat_10000_500
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This model is a fine-tuned version of [unsloth/llama-3-8b-Instruct-bnb-4bit](https://huggingface.co/unsloth/llama-3-8b-Instruct-bnb-4bit) on
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## Model description
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- num_epochs: 5
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- mixed_precision_training: Native AMP
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### Framework versions
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- PEFT 0.10.0
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license: apache-2.0
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library_name: peft
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tags:
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- trl
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- sft
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- unsloth
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- generated_from_trainer
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base_model: unsloth/llama-3-8b-Instruct-bnb-4bit
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model-index:
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# llama3-chat_10000_500
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This model is a fine-tuned version of [unsloth/llama-3-8b-Instruct-bnb-4bit](https://huggingface.co/unsloth/llama-3-8b-Instruct-bnb-4bit) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8491
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## Model description
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- num_epochs: 5
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.765 | 0.33 | 104 | 1.4841 |
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| 1.5146 | 0.67 | 208 | 1.4604 |
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| 1.4912 | 1.0 | 312 | 1.4545 |
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| 1.3584 | 1.33 | 416 | 1.4698 |
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| 1.358 | 1.66 | 520 | 1.4671 |
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| 1.3483 | 2.0 | 624 | 1.4637 |
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| 1.1105 | 2.33 | 728 | 1.5471 |
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| 1.101 | 2.66 | 832 | 1.5512 |
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| 1.1007 | 3.0 | 936 | 1.5522 |
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| 0.8526 | 3.33 | 1040 | 1.7081 |
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| 0.8445 | 3.66 | 1144 | 1.7156 |
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| 0.8463 | 3.99 | 1248 | 1.7115 |
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| 0.6865 | 4.33 | 1352 | 1.8423 |
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| 0.6811 | 4.66 | 1456 | 1.8458 |
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| 0.6859 | 4.99 | 1560 | 1.8491 |
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### Framework versions
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- PEFT 0.10.0
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adapter_model.safetensors
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runs/Apr20_12-51-26_9927202466e0/events.out.tfevents.1713617491.9927202466e0.402.0
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size 12701
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