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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: Bit-Llama2-jp-123M |
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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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# Bit-Llama2-jp-123M |
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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: 3.7091 |
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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: 0.0005 |
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- train_batch_size: 156 |
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- eval_batch_size: 156 |
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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: cosine |
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- lr_scheduler_warmup_steps: 500 |
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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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| 19.3793 | 0.04 | 1000 | 5.3113 | |
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| 5.0921 | 0.08 | 2000 | 4.9641 | |
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| 4.8154 | 0.12 | 3000 | 4.7104 | |
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| 4.6664 | 0.16 | 4000 | 4.5876 | |
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| 4.5545 | 0.2 | 5000 | 4.5258 | |
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| 4.4743 | 0.24 | 6000 | 4.4283 | |
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| 4.4061 | 0.28 | 7000 | 4.3539 | |
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| 4.3117 | 0.32 | 8000 | 4.2735 | |
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| 4.2433 | 0.36 | 9000 | 4.2243 | |
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| 4.2037 | 0.4 | 10000 | 4.1739 | |
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| 4.1576 | 0.44 | 11000 | 4.1266 | |
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| 4.0925 | 0.48 | 12000 | 4.0624 | |
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| 4.0615 | 0.52 | 13000 | 4.0433 | |
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| 4.0151 | 0.56 | 14000 | 3.9993 | |
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| 3.9721 | 0.6 | 15000 | 3.9721 | |
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| 3.941 | 0.64 | 16000 | 3.9185 | |
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| 3.9 | 0.68 | 17000 | 3.8841 | |
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| 3.8719 | 0.72 | 18000 | 3.8539 | |
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| 3.8376 | 0.76 | 19000 | 3.8189 | |
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| 3.8131 | 0.8 | 20000 | 3.7946 | |
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| 3.7801 | 0.84 | 21000 | 3.7739 | |
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| 3.7604 | 0.88 | 22000 | 3.7515 | |
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| 3.7413 | 0.92 | 23000 | 3.7365 | |
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| 3.7265 | 0.96 | 24000 | 3.7231 | |
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| 3.7152 | 1.0 | 25000 | 3.7091 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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