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--- |
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license: llama3 |
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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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- generated_from_trainer |
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base_model: meta-llama/Meta-Llama-3-8B-Instruct |
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datasets: |
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- generator |
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model-index: |
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- name: Llama3-20240602 |
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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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# Llama3-20240602 |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4100 |
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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: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_steps: 0.03 |
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- training_steps: 960 |
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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 | 0.1356 | 40 | 1.3411 | |
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| No log | 0.2712 | 80 | 1.3121 | |
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| 1.335 | 0.4068 | 120 | 1.2957 | |
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| 1.335 | 0.5424 | 160 | 1.2854 | |
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| 1.258 | 0.6780 | 200 | 1.2772 | |
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| 1.258 | 0.8136 | 240 | 1.2706 | |
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| 1.258 | 0.9492 | 280 | 1.2642 | |
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| 1.2379 | 1.0847 | 320 | 1.2746 | |
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| 1.2379 | 1.2203 | 360 | 1.2682 | |
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| 1.1301 | 1.3559 | 400 | 1.2697 | |
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| 1.1301 | 1.4915 | 440 | 1.2713 | |
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| 1.1301 | 1.6271 | 480 | 1.2671 | |
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| 1.1256 | 1.7627 | 520 | 1.2633 | |
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| 1.1256 | 1.8983 | 560 | 1.2620 | |
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| 1.0987 | 2.0339 | 600 | 1.2888 | |
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| 1.0987 | 2.1695 | 640 | 1.3127 | |
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| 1.0987 | 2.3051 | 680 | 1.3148 | |
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| 0.9445 | 2.4407 | 720 | 1.3093 | |
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| 0.9445 | 2.5763 | 760 | 1.3086 | |
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| 0.9553 | 2.7119 | 800 | 1.3095 | |
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| 0.9553 | 2.8475 | 840 | 1.3029 | |
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| 0.9553 | 2.9831 | 880 | 1.3066 | |
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| 0.9298 | 3.1186 | 920 | 1.4147 | |
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| 0.9298 | 3.2542 | 960 | 1.4100 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
