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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: ckpts/llama2-7b-viettel_v3.2_2epoch |
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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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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
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# ckpts/llama2-7b-viettel_v3.2_2epoch |
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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 the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3727 |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 3 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 24 |
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- total_eval_batch_size: 6 |
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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: 20 |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.4378 | 0.12 | 200 | 0.4331 | |
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| 0.4266 | 0.24 | 400 | 0.4187 | |
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| 0.4199 | 0.37 | 600 | 0.4086 | |
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| 0.4024 | 0.49 | 800 | 0.4016 | |
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| 0.4003 | 0.61 | 1000 | 0.3966 | |
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| 0.3849 | 0.73 | 1200 | 0.3914 | |
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| 0.3814 | 0.86 | 1400 | 0.3865 | |
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| 0.3825 | 0.98 | 1600 | 0.3831 | |
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| 0.3557 | 1.1 | 1800 | 0.3812 | |
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| 0.3531 | 1.22 | 2000 | 0.3789 | |
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| 0.3444 | 1.35 | 2200 | 0.3771 | |
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| 0.3411 | 1.47 | 2400 | 0.3752 | |
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| 0.35 | 1.59 | 2600 | 0.3738 | |
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| 0.3586 | 1.71 | 2800 | 0.3733 | |
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| 0.349 | 1.84 | 3000 | 0.3728 | |
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| 0.357 | 1.96 | 3200 | 0.3727 | |
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### Framework versions |
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- Transformers 4.34.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.4 |
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- Tokenizers 0.14.0 |
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