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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-7 |
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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-7 |
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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: 10.6539 |
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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: 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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| 9.0536 | 0.04 | 100 | 7.4802 | |
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| 6.8962 | 0.07 | 200 | 6.5875 | |
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| 6.3685 | 0.11 | 300 | 6.1149 | |
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| 5.8698 | 0.15 | 400 | 5.6208 | |
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| 5.6334 | 0.18 | 500 | 6.1096 | |
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| 8.8705 | 0.22 | 600 | 10.3915 | |
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| 10.5174 | 0.26 | 700 | 10.5752 | |
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| 10.5929 | 0.29 | 800 | 10.6066 | |
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| 10.6128 | 0.33 | 900 | 10.6187 | |
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| 10.6218 | 0.37 | 1000 | 10.6255 | |
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| 10.6274 | 0.4 | 1100 | 10.6302 | |
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| 10.6312 | 0.44 | 1200 | 10.6335 | |
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| 10.6343 | 0.48 | 1300 | 10.6363 | |
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| 10.6369 | 0.51 | 1400 | 10.6384 | |
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| 10.6391 | 0.55 | 1500 | 10.6404 | |
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| 10.6408 | 0.59 | 1600 | 10.6422 | |
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| 10.6426 | 0.62 | 1700 | 10.6438 | |
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| 10.6441 | 0.66 | 1800 | 10.6451 | |
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| 10.6454 | 0.7 | 1900 | 10.6464 | |
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| 10.6467 | 0.73 | 2000 | 10.6477 | |
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| 10.6479 | 0.77 | 2100 | 10.6486 | |
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| 10.649 | 0.81 | 2200 | 10.6496 | |
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| 10.6499 | 0.84 | 2300 | 10.6506 | |
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| 10.6508 | 0.88 | 2400 | 10.6515 | |
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| 10.6516 | 0.92 | 2500 | 10.6522 | |
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| 10.6524 | 0.95 | 2600 | 10.6531 | |
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| 10.6534 | 0.99 | 2700 | 10.6539 | |
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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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