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README.md
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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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