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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-8 |
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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-8 |
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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: 2.8102 |
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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: 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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| 4.7094 | 0.05 | 2000 | 3.7099 | |
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| 3.5644 | 0.1 | 4000 | 3.4754 | |
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| 3.4187 | 0.15 | 6000 | 3.3482 | |
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| 3.3026 | 0.2 | 8000 | 3.2653 | |
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| 3.2405 | 0.25 | 10000 | 3.2143 | |
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| 3.1966 | 0.29 | 12000 | 3.1806 | |
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| 3.1666 | 0.34 | 14000 | 3.1533 | |
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| 3.1408 | 0.39 | 16000 | 3.1344 | |
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| 3.12 | 0.44 | 18000 | 3.1123 | |
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| 3.1005 | 0.49 | 20000 | 3.0934 | |
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| 3.0802 | 0.54 | 22000 | 3.0769 | |
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| 3.0629 | 0.59 | 24000 | 3.0545 | |
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| 3.0427 | 0.64 | 26000 | 3.0319 | |
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| 3.0206 | 0.69 | 28000 | 3.0111 | |
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| 3.0008 | 0.74 | 30000 | 2.9897 | |
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| 2.9735 | 0.79 | 32000 | 2.9632 | |
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| 2.9466 | 0.83 | 34000 | 2.9335 | |
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| 2.9165 | 0.88 | 36000 | 2.9039 | |
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| 2.8816 | 0.93 | 38000 | 2.8623 | |
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| 2.8345 | 0.98 | 40000 | 2.8102 | |
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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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