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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: expert-github |
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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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# expert-github |
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This model is a fine-tuned version of [EleutherAI/pythia-1b-deduped](https://huggingface.co./EleutherAI/pythia-1b-deduped) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8041 |
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- Accuracy: 0.6257 |
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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: 0.0001 |
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- train_batch_size: 1 |
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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: 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: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- training_steps: 1000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 1.7274 | 0.0 | 200 | 1.8278 | 0.6213 | |
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| 1.6666 | 0.01 | 400 | 1.8233 | 0.6223 | |
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| 1.7053 | 0.01 | 600 | 1.8155 | 0.6236 | |
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| 1.7117 | 0.01 | 800 | 1.8084 | 0.6250 | |
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| 1.678 | 0.02 | 1000 | 1.8041 | 0.6257 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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