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--- |
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base_model: meta-llama/Llama-2-7b-hf |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: llama_finetune_arc_20_cot |
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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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# llama_finetune_arc_20_cot |
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This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.9424 |
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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: 0.0001 |
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 5 |
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- num_epochs: 20 |
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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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| 1.1762 | 1.0 | 150 | 1.1987 | |
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| 0.9486 | 2.0 | 300 | 1.2338 | |
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| 0.6296 | 3.0 | 450 | 1.4406 | |
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| 0.244 | 4.0 | 600 | 1.7124 | |
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| 0.2032 | 5.0 | 750 | 1.8587 | |
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| 0.1091 | 6.0 | 900 | 2.0025 | |
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| 0.1157 | 7.0 | 1050 | 2.0500 | |
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| 0.1458 | 8.0 | 1200 | 2.2667 | |
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| 0.0639 | 9.0 | 1350 | 2.1986 | |
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| 0.0651 | 10.0 | 1500 | 2.3844 | |
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| 0.0621 | 11.0 | 1650 | 2.4926 | |
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| 0.0474 | 12.0 | 1800 | 2.5012 | |
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| 0.0524 | 13.0 | 1950 | 2.6149 | |
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| 0.0789 | 14.0 | 2100 | 2.6728 | |
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| 0.0428 | 15.0 | 2250 | 2.7003 | |
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| 0.0446 | 16.0 | 2400 | 2.7733 | |
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| 0.0762 | 17.0 | 2550 | 2.8436 | |
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| 0.0535 | 18.0 | 2700 | 2.9111 | |
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| 0.04 | 19.0 | 2850 | 2.9168 | |
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| 0.0419 | 20.0 | 3000 | 2.9424 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.13.1 |
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- Tokenizers 0.14.1 |
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