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--- |
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base_model: EleutherAI/pythia-31m |
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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: BL-pythia-31m-simple_wikipedia_LM-2048-scratch |
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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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# BL-pythia-31m-simple_wikipedia_LM-2048-scratch |
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This model is a fine-tuned version of [EleutherAI/pythia-31m](https://huggingface.co/EleutherAI/pythia-31m) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.1763 |
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- Accuracy: 0.3676 |
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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: 0.0005 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 80085 |
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- gradient_accumulation_steps: 64 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-07 |
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- lr_scheduler_type: inverse_sqrt |
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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 3.0 |
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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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| 5.8617 | 0.45 | 100 | 5.5276 | 0.2451 | |
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| 5.2782 | 0.9 | 200 | 4.9596 | 0.2965 | |
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| 4.9996 | 1.35 | 300 | 4.6412 | 0.3310 | |
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| 4.6292 | 1.8 | 400 | 4.4344 | 0.3485 | |
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| 4.5339 | 2.25 | 500 | 4.2875 | 0.3600 | |
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| 4.5214 | 2.7 | 600 | 4.1763 | 0.3676 | |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 2.2.0.dev20230907+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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