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--- |
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base_model: pharaouk/zeta-1B |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Scribe |
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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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# Scribe |
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This model is a fine-tuned version of [pharaouk/zeta-1B](https://huggingface.co/pharaouk/zeta-1B) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3360 |
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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: 0.0003 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 512 |
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- total_eval_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.8223 | 0.01 | 1 | 1.8049 | |
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| 0.7051 | 0.2 | 32 | 1.4195 | |
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| 0.6256 | 0.4 | 64 | 1.3457 | |
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| 0.6337 | 0.6 | 96 | 1.3160 | |
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| 0.633 | 0.8 | 128 | 1.3076 | |
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| 0.6384 | 1.0 | 160 | 1.3060 | |
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| 0.5921 | 1.2 | 192 | 1.3058 | |
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| 0.5906 | 1.4 | 224 | 1.3152 | |
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| 0.5798 | 1.6 | 256 | 1.3133 | |
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| 0.592 | 1.8 | 288 | 1.3086 | |
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| 0.584 | 2.0 | 320 | 1.3070 | |
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| 0.5358 | 2.2 | 352 | 1.3183 | |
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| 0.5431 | 2.4 | 384 | 1.3199 | |
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| 0.5349 | 2.6 | 416 | 1.3217 | |
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| 0.543 | 2.8 | 448 | 1.3203 | |
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| 0.5298 | 3.0 | 480 | 1.3195 | |
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| 0.5029 | 3.2 | 512 | 1.3363 | |
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| 0.5157 | 3.4 | 544 | 1.3375 | |
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| 0.4971 | 3.6 | 576 | 1.3365 | |
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| 0.502 | 3.8 | 608 | 1.3360 | |
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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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