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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-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-test-8 |
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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: 4.5927 |
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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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| 9.4805 | 0.04 | 100 | 8.6095 | |
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| 7.8321 | 0.07 | 200 | 7.0695 | |
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| 6.8097 | 0.11 | 300 | 6.5242 | |
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| 6.1628 | 0.15 | 400 | 5.9676 | |
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| 5.7241 | 0.18 | 500 | 5.5946 | |
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| 5.5282 | 0.22 | 600 | 5.4358 | |
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| 5.5317 | 0.26 | 700 | 5.3903 | |
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| 5.399 | 0.29 | 800 | 5.3153 | |
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| 5.2444 | 0.33 | 900 | 5.1738 | |
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| 5.1217 | 0.37 | 1000 | 5.0826 | |
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| 5.0392 | 0.4 | 1100 | 5.0498 | |
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| 5.0022 | 0.44 | 1200 | 4.9668 | |
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| 4.9574 | 0.48 | 1300 | 4.9327 | |
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| 4.8924 | 0.51 | 1400 | 4.8715 | |
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| 4.8545 | 0.55 | 1500 | 4.8475 | |
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| 4.8104 | 0.58 | 1600 | 4.8027 | |
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| 4.7834 | 0.62 | 1700 | 4.7821 | |
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| 4.7563 | 0.66 | 1800 | 4.7486 | |
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| 4.7112 | 0.69 | 1900 | 4.7241 | |
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| 4.701 | 0.73 | 2000 | 4.7091 | |
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| 4.678 | 0.77 | 2100 | 4.6785 | |
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| 4.6376 | 0.8 | 2200 | 4.6615 | |
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| 4.6264 | 0.84 | 2300 | 4.6454 | |
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| 4.6032 | 0.88 | 2400 | 4.6245 | |
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| 4.5949 | 0.91 | 2500 | 4.6137 | |
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| 4.5861 | 0.95 | 2600 | 4.5992 | |
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| 4.5783 | 0.99 | 2700 | 4.5927 | |
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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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