| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: expert-github |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # expert-github |
|
|
| This model is a fine-tuned version of [EleutherAI/pythia-1b-deduped](https://huggingface.co/EleutherAI/pythia-1b-deduped) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.8041 |
| - Accuracy: 0.6257 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
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|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0001 |
| - train_batch_size: 1 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 8 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 64 |
| - total_eval_batch_size: 64 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - training_steps: 1000 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 1.7274 | 0.0 | 200 | 1.8278 | 0.6213 | |
| | 1.6666 | 0.01 | 400 | 1.8233 | 0.6223 | |
| | 1.7053 | 0.01 | 600 | 1.8155 | 0.6236 | |
| | 1.7117 | 0.01 | 800 | 1.8084 | 0.6250 | |
| | 1.678 | 0.02 | 1000 | 1.8041 | 0.6257 | |
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|
| ### Framework versions |
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|
| - Transformers 4.28.1 |
| - Pytorch 2.0.0+cu117 |
| - Datasets 2.11.0 |
| - Tokenizers 0.13.3 |
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|
