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--- |
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license: apache-2.0 |
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base_model: cyberagent/calm2-7b-chat |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: out |
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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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# out |
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This model is a fine-tuned version of [cyberagent/calm2-7b-chat](https://huggingface.co/cyberagent/calm2-7b-chat) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.2941 |
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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: 0.0002 |
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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: 3 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 6 |
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- total_eval_batch_size: 3 |
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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: 100 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.5899 | 0.0 | 1 | 4.1781 | |
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| 3.4689 | 0.05 | 352 | 3.5988 | |
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| 3.519 | 0.1 | 704 | 3.6209 | |
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| 3.4168 | 0.15 | 1056 | 3.6161 | |
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| 3.4906 | 0.2 | 1408 | 3.6054 | |
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| 3.4853 | 0.25 | 1760 | 3.5950 | |
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| 3.475 | 0.3 | 2112 | 3.5806 | |
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| 3.2476 | 0.35 | 2464 | 3.5675 | |
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| 3.2339 | 0.4 | 2816 | 3.5398 | |
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| 3.3711 | 0.45 | 3168 | 3.5233 | |
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| 3.4195 | 0.5 | 3520 | 3.5006 | |
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| 3.1105 | 0.55 | 3872 | 3.4804 | |
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| 3.2477 | 0.6 | 4224 | 3.4546 | |
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| 3.2753 | 0.65 | 4576 | 3.4311 | |
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| 3.1867 | 0.7 | 4928 | 3.4054 | |
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| 3.2009 | 0.75 | 5280 | 3.3783 | |
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| 3.1037 | 0.8 | 5632 | 3.3509 | |
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| 3.0394 | 0.85 | 5984 | 3.3314 | |
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| 3.0759 | 0.9 | 6336 | 3.3095 | |
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| 3.1989 | 0.95 | 6688 | 3.2941 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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