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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: BitLlama2-jp-127M-optim-3 |
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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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# BitLlama2-jp-127M-optim-3 |
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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: 3.3126 |
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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: 0.0024 |
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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=(0.9,0.95) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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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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| 6.8077 | 0.07 | 200 | 4.8407 | |
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| 4.5572 | 0.15 | 400 | 4.3299 | |
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| 4.2394 | 0.22 | 600 | 4.1002 | |
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| 4.0211 | 0.29 | 800 | 3.9227 | |
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| 3.8617 | 0.37 | 1000 | 3.8109 | |
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| 3.7662 | 0.44 | 1200 | 3.7284 | |
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| 3.6699 | 0.51 | 1400 | 3.6362 | |
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| 3.5966 | 0.58 | 1600 | 3.5681 | |
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| 3.5261 | 0.66 | 1800 | 3.5094 | |
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| 3.4696 | 0.73 | 2000 | 3.4567 | |
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| 3.4162 | 0.8 | 2200 | 3.4072 | |
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| 3.3665 | 0.88 | 2400 | 3.3600 | |
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| 3.3162 | 0.95 | 2600 | 3.3126 | |
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### Framework versions |
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- Transformers 4.38.2 |
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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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