| | --- |
| | 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 |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | 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 |
| |
|
| | - Transformers 4.28.1 |
| | - Pytorch 2.0.0+cu117 |
| | - Datasets 2.11.0 |
| | - Tokenizers 0.13.3 |
| |
|
