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--- |
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license: apache-2.0 |
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base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: BitNet-based-Llama2-jp-test |
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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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# BitNet-based-Llama2-jp-test |
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This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 92.3872 |
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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: 0.0005 |
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- train_batch_size: 156 |
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- eval_batch_size: 156 |
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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: cosine |
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- lr_scheduler_warmup_steps: 200 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 92.3586 | 0.06 | 100 | 92.3876 | |
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| 92.3629 | 0.12 | 200 | 92.3877 | |
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| 92.3395 | 0.18 | 300 | 92.3753 | |
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| 92.3229 | 0.24 | 400 | 92.3346 | |
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| 92.3158 | 0.3 | 500 | 92.3378 | |
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| 92.3411 | 0.36 | 600 | 92.3068 | |
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| 92.3362 | 0.42 | 700 | 92.3086 | |
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| 92.3304 | 0.48 | 800 | 92.3751 | |
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| 92.3344 | 0.55 | 900 | 92.3510 | |
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| 92.3355 | 0.61 | 1000 | 92.3283 | |
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| 92.3628 | 0.67 | 1100 | 92.3356 | |
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| 92.337 | 0.73 | 1200 | 92.3693 | |
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| 92.3825 | 0.79 | 1300 | 92.3734 | |
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| 92.3569 | 0.85 | 1400 | 92.2878 | |
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| 92.3633 | 0.91 | 1500 | 92.3738 | |
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| 92.3392 | 0.97 | 1600 | 92.3872 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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