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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-4 |
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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-4 |
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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: 10.6247 |
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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: 8.4e-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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| 9.6724 | 0.04 | 100 | 8.7189 | |
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| 7.811 | 0.07 | 200 | 6.9856 | |
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| 6.7931 | 0.11 | 300 | 6.5599 | |
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| 6.4108 | 0.15 | 400 | 6.1841 | |
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| 6.1428 | 0.18 | 500 | 5.9554 | |
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| 5.8814 | 0.22 | 600 | 5.7176 | |
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| 5.6803 | 0.26 | 700 | 5.5171 | |
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| 5.5181 | 0.29 | 800 | 5.4037 | |
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| 5.4115 | 0.33 | 900 | 5.3197 | |
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| 5.3497 | 0.37 | 1000 | 5.2965 | |
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| 5.3629 | 0.4 | 1100 | 5.3632 | |
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| 5.6291 | 0.44 | 1200 | 5.9554 | |
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| 6.9173 | 0.47 | 1300 | 8.0749 | |
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| 9.1158 | 0.51 | 1400 | 9.8847 | |
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| 10.2012 | 0.55 | 1500 | 10.3942 | |
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| 10.4725 | 0.58 | 1600 | 10.5218 | |
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| 10.5453 | 0.62 | 1700 | 10.5627 | |
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| 10.5752 | 0.66 | 1800 | 10.5838 | |
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| 10.5915 | 0.69 | 1900 | 10.5969 | |
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| 10.6018 | 0.73 | 2000 | 10.6053 | |
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| 10.6091 | 0.77 | 2100 | 10.6115 | |
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| 10.6141 | 0.8 | 2200 | 10.6156 | |
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| 10.6175 | 0.84 | 2300 | 10.6186 | |
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| 10.6203 | 0.88 | 2400 | 10.6212 | |
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| 10.6225 | 0.91 | 2500 | 10.6225 | |
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| 10.6238 | 0.95 | 2600 | 10.6240 | |
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| 10.625 | 0.99 | 2700 | 10.6247 | |
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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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