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--- |
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license: other |
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base_model: larryvrh/Yi-34B-200K-Llamafied |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: capybara-v4-yi-34b-200k |
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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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# capybara-v4-yi-34b-200k |
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This model is a fine-tuned version of [larryvrh/Yi-34B-200K-Llamafied](https://huggingface.co/larryvrh/Yi-34B-200K-Llamafied) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3638 |
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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: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 50 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.7201 | 0.31 | 200 | 0.7801 | |
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| 0.716 | 0.62 | 400 | 0.7240 | |
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| 0.6128 | 0.93 | 600 | 0.6696 | |
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| 0.4111 | 1.24 | 800 | 0.6016 | |
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| 0.415 | 1.55 | 1000 | 0.5395 | |
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| 0.3293 | 1.86 | 1200 | 0.4782 | |
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| 0.3271 | 2.17 | 1400 | 0.4272 | |
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| 0.2672 | 2.49 | 1600 | 0.3925 | |
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| 0.2129 | 2.8 | 1800 | 0.3638 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.0.1 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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