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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: G0514HMA9H |
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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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# G0514HMA9H |
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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: -17.8302 |
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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: 100 |
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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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| 0.9517 | 0.09 | 10 | 0.1638 | |
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| -0.6528 | 0.18 | 20 | -1.9084 | |
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| -3.1267 | 0.27 | 30 | -4.7902 | |
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| -6.0596 | 0.36 | 40 | -7.8054 | |
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| -9.0118 | 0.45 | 50 | -10.6366 | |
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| -11.6312 | 0.54 | 60 | -13.0868 | |
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| -13.9766 | 0.63 | 70 | -15.0345 | |
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| -15.6124 | 0.73 | 80 | -16.3032 | |
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| -16.6378 | 0.82 | 90 | -17.0207 | |
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| -17.1714 | 0.91 | 100 | -17.3497 | |
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| -17.4216 | 1.0 | 110 | -17.5126 | |
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| -17.5543 | 1.09 | 120 | -17.5999 | |
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| -17.6217 | 1.18 | 130 | -17.6473 | |
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| -17.6609 | 1.27 | 140 | -17.6818 | |
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| -17.6899 | 1.36 | 150 | -17.7041 | |
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| -17.7101 | 1.45 | 160 | -17.7147 | |
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| -17.7215 | 1.54 | 170 | -17.7306 | |
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| -17.7352 | 1.63 | 180 | -17.7425 | |
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| -17.7484 | 1.72 | 190 | -17.7559 | |
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| -17.7629 | 1.81 | 200 | -17.7670 | |
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| -17.77 | 1.9 | 210 | -17.7756 | |
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| -17.7798 | 1.99 | 220 | -17.7847 | |
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| -17.7898 | 2.08 | 230 | -17.7911 | |
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| -17.799 | 2.18 | 240 | -17.7988 | |
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| -17.8001 | 2.27 | 250 | -17.8040 | |
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| -17.807 | 2.36 | 260 | -17.8101 | |
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| -17.8173 | 2.45 | 270 | -17.8156 | |
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| -17.8186 | 2.54 | 280 | -17.8207 | |
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| -17.8237 | 2.63 | 290 | -17.8248 | |
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| -17.8266 | 2.72 | 300 | -17.8279 | |
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| -17.8269 | 2.81 | 310 | -17.8294 | |
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| -17.8338 | 2.9 | 320 | -17.8301 | |
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| -17.831 | 2.99 | 330 | -17.8302 | |
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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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