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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: home/suika/bin/axolotl/OUT-perscengen/ |
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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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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
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# home/suika/bin/axolotl/OUT-perscengen/ |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8290 |
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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: 0.00025 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- total_train_batch_size: 8 |
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- total_eval_batch_size: 8 |
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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: 10 |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.992 | 0.06 | 15 | 1.8884 | |
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| 1.8026 | 0.12 | 30 | 1.8655 | |
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| 1.7713 | 0.19 | 45 | 1.8539 | |
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| 1.7145 | 0.25 | 60 | 1.8502 | |
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| 1.6686 | 0.31 | 75 | 1.8507 | |
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| 1.8409 | 0.37 | 90 | 1.8469 | |
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| 1.7741 | 0.44 | 105 | 1.8434 | |
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| 1.7384 | 0.5 | 120 | 1.8407 | |
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| 1.7562 | 0.56 | 135 | 1.8390 | |
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| 1.7392 | 0.62 | 150 | 1.8373 | |
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| 1.8735 | 0.68 | 165 | 1.8381 | |
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| 1.8406 | 0.75 | 180 | 1.8377 | |
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| 1.6602 | 0.81 | 195 | 1.8350 | |
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| 1.7803 | 0.87 | 210 | 1.8341 | |
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| 1.7212 | 0.93 | 225 | 1.8329 | |
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| 1.8126 | 1.0 | 240 | 1.8330 | |
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| 1.8776 | 1.06 | 255 | 1.8314 | |
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| 1.7892 | 1.12 | 270 | 1.8328 | |
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| 1.7029 | 1.18 | 285 | 1.8338 | |
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| 1.7094 | 1.24 | 300 | 1.8322 | |
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| 1.7921 | 1.31 | 315 | 1.8310 | |
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| 1.8309 | 1.37 | 330 | 1.8316 | |
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| 1.7373 | 1.43 | 345 | 1.8309 | |
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| 1.7873 | 1.49 | 360 | 1.8313 | |
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| 1.7151 | 1.56 | 375 | 1.8306 | |
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| 1.7529 | 1.62 | 390 | 1.8300 | |
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| 1.7516 | 1.68 | 405 | 1.8293 | |
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| 1.7704 | 1.74 | 420 | 1.8294 | |
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| 1.6351 | 1.8 | 435 | 1.8290 | |
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| 1.6186 | 1.87 | 450 | 1.8291 | |
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| 1.7086 | 1.93 | 465 | 1.8295 | |
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| 1.6595 | 1.99 | 480 | 1.8290 | |
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### Framework versions |
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- Transformers 4.34.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.0 |
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