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Browse files- README.md +69 -0
- adapter_model.safetensors +1 -1
README.md
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---
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base_model: meta-llama/Meta-Llama-3-8B
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library_name: peft
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license: llama3
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tags:
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- generated_from_trainer
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model-index:
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- name: sft-chatbot3
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# sft-chatbot3
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8532
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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: 0.0002
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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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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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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: 8
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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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| No log | 0.9836 | 15 | 0.8413 |
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| No log | 1.9672 | 30 | 0.7822 |
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| No log | 2.9508 | 45 | 0.7713 |
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| No log | 4.0 | 61 | 0.7803 |
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| No log | 4.9836 | 76 | 0.8245 |
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| No log | 5.9672 | 91 | 0.8427 |
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| No log | 6.9508 | 106 | 0.8522 |
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| No log | 7.8689 | 120 | 0.8532 |
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### Framework versions
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- PEFT 0.13.1
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- Transformers 4.43.3
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- Pytorch 2.4.0+cu121
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- Datasets 3.0.1
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- Tokenizers 0.19.1
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 27280152
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version https://git-lfs.github.com/spec/v1
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size 27280152
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