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--- |
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license: apache-2.0 |
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base_model: EleutherAI/pythia-2.8b |
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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: mary-snyder-paleturquoise |
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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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# mary-snyder-paleturquoise |
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This model is a fine-tuned version of [EleutherAI/pythia-2.8b](https://huggingface.co/EleutherAI/pythia-2.8b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 8.1016 |
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- Accuracy: 0.6 |
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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: 1e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 16 |
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- seed: 24 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant_with_warmup |
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- lr_scheduler_warmup_ratio: 0.1 |
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- training_steps: 2500 |
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- mixed_precision_training: Native AMP |
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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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| 0.1932 | 8.5561 | 400 | 4.5586 | 0.6 | |
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| 0.0061 | 17.1123 | 800 | 5.8789 | 0.6 | |
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| 0.008 | 25.6684 | 1200 | 8.5 | 0.5 | |
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| 0.0018 | 34.2246 | 1600 | 4.4258 | 0.5 | |
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| 0.0437 | 42.7807 | 2000 | 7.6797 | 0.5 | |
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| 0.0152 | 51.3369 | 2400 | 8.1016 | 0.6 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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