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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-2 |
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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-2 |
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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: 3.0972 |
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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: 5000 |
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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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| 6.9469 | 0.05 | 2000 | 4.7495 | |
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| 4.4263 | 0.1 | 4000 | 4.2282 | |
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| 4.0799 | 0.15 | 6000 | 3.9351 | |
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| 3.8199 | 0.2 | 8000 | 3.7209 | |
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| 3.6462 | 0.25 | 10000 | 3.5755 | |
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| 3.5239 | 0.29 | 12000 | 3.4803 | |
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| 3.4727 | 0.34 | 14000 | 3.4181 | |
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| 3.3953 | 0.39 | 16000 | 3.3752 | |
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| 3.3562 | 0.44 | 18000 | 3.3395 | |
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| 3.3272 | 0.49 | 20000 | 3.3166 | |
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| 3.2965 | 0.54 | 22000 | 3.2869 | |
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| 3.2771 | 0.59 | 24000 | 3.2680 | |
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| 3.2545 | 0.64 | 26000 | 3.2478 | |
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| 3.235 | 0.69 | 28000 | 3.2276 | |
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| 3.2189 | 0.74 | 30000 | 3.2054 | |
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| 3.1973 | 0.79 | 32000 | 3.1910 | |
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| 3.1793 | 0.83 | 34000 | 3.1675 | |
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| 3.1572 | 0.88 | 36000 | 3.1487 | |
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| 3.1406 | 0.93 | 38000 | 3.1279 | |
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| 3.1144 | 0.98 | 40000 | 3.0972 | |
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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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