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--- |
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license: gemma |
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base_model: google/gemma-2b |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: G0514HMA22H |
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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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# G0514HMA22H |
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co./google/gemma-2b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: -17.8940 |
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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: 0.0003 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine_with_restarts |
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- lr_scheduler_warmup_steps: 80 |
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- num_epochs: 3 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.8474 | 0.09 | 10 | -0.1051 | |
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| -1.133 | 0.18 | 20 | -2.6746 | |
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| -4.0726 | 0.27 | 30 | -5.9791 | |
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| -7.4096 | 0.36 | 40 | -9.2948 | |
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| -10.5075 | 0.45 | 50 | -12.1604 | |
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| -13.1872 | 0.54 | 60 | -14.5712 | |
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| -15.3198 | 0.63 | 70 | -16.1577 | |
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| -16.5601 | 0.73 | 80 | -17.0062 | |
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| -17.1749 | 0.82 | 90 | -17.3669 | |
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| -17.4459 | 0.91 | 100 | -17.5280 | |
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| -17.5636 | 1.0 | 110 | -17.6099 | |
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| -17.6344 | 1.09 | 120 | -17.6593 | |
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| -17.6708 | 1.18 | 130 | -17.6865 | |
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| -17.6958 | 1.27 | 140 | -17.7099 | |
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| -17.7175 | 1.36 | 150 | -17.7283 | |
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| -17.7369 | 1.45 | 160 | -17.7437 | |
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| -17.7549 | 1.54 | 170 | -17.7646 | |
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| -17.7752 | 1.63 | 180 | -17.7824 | |
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| -17.785 | 1.72 | 190 | -17.7920 | |
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| -17.8012 | 1.81 | 200 | -17.8080 | |
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| -17.8109 | 1.9 | 210 | -17.8184 | |
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| -17.8264 | 1.99 | 220 | -17.8386 | |
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| -17.85 | 2.08 | 230 | -17.8633 | |
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| -17.8652 | 2.18 | 240 | -17.8736 | |
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| -17.8735 | 2.27 | 250 | -17.8818 | |
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| -17.8791 | 2.36 | 260 | -17.8860 | |
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| -17.8821 | 2.45 | 270 | -17.8882 | |
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| -17.8883 | 2.54 | 280 | -17.8912 | |
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| -17.891 | 2.63 | 290 | -17.8924 | |
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| -17.8909 | 2.72 | 300 | -17.8933 | |
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| -17.8886 | 2.81 | 310 | -17.8938 | |
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| -17.8926 | 2.9 | 320 | -17.8939 | |
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| -17.8924 | 2.99 | 330 | -17.8940 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.0 |
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