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--- |
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license: apache-2.0 |
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base_model: falche/opennovel_oc2_01a_7b |
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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 [falche/opennovel_oc2_01a_7b](https://huggingface.co/falche/opennovel_oc2_01a_7b) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.3955 |
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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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| 3.1649 | 0.0 | 1 | 3.3906 | |
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| 3.6247 | 0.05 | 528 | 3.7267 | |
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| 3.5584 | 0.1 | 1056 | 3.7235 | |
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| 3.4741 | 0.15 | 1584 | 3.7208 | |
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| 3.4915 | 0.2 | 2112 | 3.6959 | |
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| 3.4849 | 0.25 | 2640 | 3.6844 | |
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| 3.4466 | 0.3 | 3168 | 3.6704 | |
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| 3.2705 | 0.35 | 3696 | 3.6390 | |
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| 3.2936 | 0.4 | 4224 | 3.6249 | |
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| 3.4238 | 0.45 | 4752 | 3.6018 | |
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| 3.3485 | 0.5 | 5280 | 3.5783 | |
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| 3.2596 | 0.55 | 5808 | 3.5661 | |
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| 3.2277 | 0.6 | 6336 | 3.5371 | |
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| 3.2635 | 0.65 | 6864 | 3.5157 | |
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| 3.1735 | 0.7 | 7392 | 3.4962 | |
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| 3.1552 | 0.75 | 7920 | 3.4712 | |
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| 3.0954 | 0.8 | 8448 | 3.4501 | |
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| 3.09 | 0.85 | 8976 | 3.4298 | |
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| 3.1094 | 0.9 | 9504 | 3.4096 | |
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| 2.9722 | 0.95 | 10032 | 3.3955 | |
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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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