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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: myBit-Llama2-jp-127M-test-16 |
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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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# myBit-Llama2-jp-127M-test-16 |
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This model is a fine-tuned version of [](https://huggingface.co./) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.5029 |
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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: 0.00024 |
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- train_batch_size: 96 |
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- eval_batch_size: 96 |
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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: polynomial |
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- lr_scheduler_warmup_steps: 500 |
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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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| 9.0668 | 0.07 | 200 | 7.8313 | |
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| 6.9502 | 0.15 | 400 | 6.3292 | |
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| 5.8696 | 0.22 | 600 | 5.4250 | |
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| 5.285 | 0.3 | 800 | 5.1157 | |
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| 5.0167 | 0.37 | 1000 | 4.9604 | |
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| 4.9441 | 0.45 | 1200 | 4.9913 | |
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| 4.8204 | 0.52 | 1400 | 4.7712 | |
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| 4.7314 | 0.6 | 1600 | 4.7058 | |
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| 4.6562 | 0.67 | 1800 | 4.6503 | |
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| 4.5941 | 0.74 | 2000 | 4.5901 | |
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| 4.5479 | 0.82 | 2200 | 4.5508 | |
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| 4.5155 | 0.89 | 2400 | 4.5194 | |
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| 4.4939 | 0.97 | 2600 | 4.5029 | |
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### Framework versions |
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- Transformers 4.39.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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