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--- |
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license: apache-2.0 |
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base_model: PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T |
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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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datasets: |
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- teknium/openhermes |
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--- |
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This model is a fine-tuned version of [PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T](https://huggingface.co./PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T) on the [openhermes](https://huggingface.co./datasets/teknium/openhermes) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2355 |
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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: 8 |
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- total_train_batch_size: 8 |
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- total_eval_batch_size: 8 |
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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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| 1.4654 | 0.0 | 1 | 3.5326 | |
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| 1.2162 | 0.05 | 1503 | 1.9335 | |
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| 1.1918 | 0.1 | 3006 | 1.7391 | |
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| 1.4188 | 0.15 | 4509 | 1.7574 | |
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| 1.8281 | 0.2 | 6012 | 1.6704 | |
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| 0.8639 | 0.25 | 7515 | 1.7459 | |
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| 1.3764 | 0.3 | 9018 | 1.6832 | |
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| 2.1172 | 0.35 | 10521 | 1.6398 | |
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| 1.1855 | 0.4 | 12024 | 1.6007 | |
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| 1.5604 | 0.45 | 13527 | 1.5256 | |
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| 1.0224 | 0.5 | 15030 | 1.4891 | |
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| 1.5582 | 0.55 | 16533 | 1.4903 | |
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| 0.9489 | 0.6 | 18036 | 1.4179 | |
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| 1.67 | 0.65 | 19539 | 1.4585 | |
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| 0.8542 | 0.7 | 21042 | 1.3810 | |
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| 1.5301 | 0.75 | 22545 | 1.3645 | |
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| 0.951 | 0.8 | 24048 | 1.3087 | |
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| 1.1791 | 0.85 | 25551 | 1.3018 | |
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| 1.3342 | 0.9 | 27054 | 1.2595 | |
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| 1.1221 | 0.95 | 28557 | 1.2355 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
