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--- |
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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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- name: llama3-chat_50000_500 |
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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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# llama3-chat_50000_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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7378 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 3407 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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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- lr_scheduler_warmup_steps: 5 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.7748 | 0.128 | 100 | 1.4928 | |
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| 1.5097 | 0.256 | 200 | 1.4743 | |
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| 1.5122 | 0.384 | 300 | 1.4623 | |
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| 1.4924 | 0.512 | 400 | 1.4609 | |
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| 1.485 | 0.64 | 500 | 1.4526 | |
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| 1.4779 | 0.768 | 600 | 1.4511 | |
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| 1.4728 | 0.896 | 700 | 1.4446 | |
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| 1.4476 | 1.024 | 800 | 1.4512 | |
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| 1.3725 | 1.152 | 900 | 1.4558 | |
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| 1.3747 | 1.28 | 1000 | 1.4560 | |
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| 1.3735 | 1.408 | 1100 | 1.4548 | |
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| 1.3717 | 1.536 | 1200 | 1.4499 | |
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| 1.3694 | 1.6640 | 1300 | 1.4526 | |
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| 1.3698 | 1.792 | 1400 | 1.4542 | |
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| 1.3701 | 1.92 | 1500 | 1.4512 | |
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| 1.3004 | 2.048 | 1600 | 1.4977 | |
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| 1.1904 | 2.176 | 1700 | 1.5075 | |
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| 1.1977 | 2.304 | 1800 | 1.5041 | |
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| 1.1888 | 2.432 | 1900 | 1.5094 | |
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| 1.1885 | 2.56 | 2000 | 1.5024 | |
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| 1.1989 | 2.6880 | 2100 | 1.5039 | |
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| 1.1905 | 2.816 | 2200 | 1.5046 | |
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| 1.1914 | 2.944 | 2300 | 1.5077 | |
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| 1.0764 | 3.072 | 2400 | 1.6027 | |
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| 0.9757 | 3.2 | 2500 | 1.6227 | |
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| 0.9768 | 3.328 | 2600 | 1.6228 | |
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| 0.9795 | 3.456 | 2700 | 1.6225 | |
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| 0.9775 | 3.584 | 2800 | 1.6190 | |
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| 0.9781 | 3.7120 | 2900 | 1.6164 | |
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| 0.981 | 3.84 | 3000 | 1.6199 | |
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| 0.9812 | 3.968 | 3100 | 1.6254 | |
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| 0.8731 | 4.096 | 3200 | 1.7307 | |
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| 0.8376 | 4.224 | 3300 | 1.7343 | |
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| 0.8352 | 4.352 | 3400 | 1.7398 | |
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| 0.8429 | 4.48 | 3500 | 1.7357 | |
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| 0.8431 | 4.608 | 3600 | 1.7386 | |
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| 0.8383 | 4.736 | 3700 | 1.7380 | |
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| 0.8375 | 4.864 | 3800 | 1.7376 | |
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| 0.842 | 4.992 | 3900 | 1.7378 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
