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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: myBit-Llama2-jp-127M-test-6 |
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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-6 |
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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: 5.4087 |
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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: 4.8e-05 |
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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: 250 |
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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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| 9.8677 | 0.04 | 100 | 9.1385 | |
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| 8.4868 | 0.07 | 200 | 7.7575 | |
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| 7.2146 | 0.11 | 300 | 6.8688 | |
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| 6.6972 | 0.14 | 400 | 6.5702 | |
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| 6.4628 | 0.18 | 500 | 6.3746 | |
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| 6.3058 | 0.22 | 600 | 6.2362 | |
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| 6.1813 | 0.25 | 700 | 6.1241 | |
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| 6.0708 | 0.29 | 800 | 6.0228 | |
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| 5.963 | 0.33 | 900 | 5.9109 | |
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| 5.8577 | 0.36 | 1000 | 5.7948 | |
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| 5.7614 | 0.4 | 1100 | 5.7155 | |
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| 5.6876 | 0.43 | 1200 | 5.6376 | |
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| 5.6044 | 0.47 | 1300 | 5.5631 | |
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| 5.5538 | 0.51 | 1400 | 5.5045 | |
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| 5.5007 | 0.54 | 1500 | 5.4649 | |
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| 5.4556 | 0.58 | 1600 | 5.4282 | |
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| 5.4246 | 0.62 | 1700 | 5.3917 | |
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| 5.3982 | 0.65 | 1800 | 5.3762 | |
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| 5.3854 | 0.69 | 1900 | 5.3546 | |
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| 5.365 | 0.72 | 2000 | 5.3447 | |
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| 5.3579 | 0.76 | 2100 | 5.3473 | |
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| 5.3552 | 0.8 | 2200 | 5.3463 | |
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| 5.3682 | 0.83 | 2300 | 5.3630 | |
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| 5.3743 | 0.87 | 2400 | 5.3718 | |
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| 5.3957 | 0.91 | 2500 | 5.3887 | |
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| 5.4079 | 0.94 | 2600 | 5.4010 | |
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| 5.423 | 0.98 | 2700 | 5.4087 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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