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--- |
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base_model: silu-griffin-1024-c3t-8layer |
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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: silu-griffin-1024-c3t-8layer-simple_wikipedia_LM-vN |
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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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# silu-griffin-1024-c3t-8layer-simple_wikipedia_LM-vN |
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This model is a fine-tuned version of [silu-griffin-1024-c3t-8layer](https://huggingface.co/silu-griffin-1024-c3t-8layer) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.1877 |
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- Accuracy: 0.4085 |
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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: 0.0003 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 80085 |
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- gradient_accumulation_steps: 32 |
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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: constant_with_warmup |
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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 2.0 |
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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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| 13.3276 | 0.2548 | 100 | 12.0402 | 0.0131 | |
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| 8.9207 | 0.5095 | 200 | 8.0312 | 0.0360 | |
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| 7.2681 | 0.7643 | 300 | 6.4775 | 0.0506 | |
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| 6.3187 | 1.0190 | 400 | 5.6227 | 0.0434 | |
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| 5.5695 | 1.2738 | 500 | 4.7796 | 0.3635 | |
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| 5.2926 | 1.5285 | 600 | 4.3923 | 0.3952 | |
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| 4.878 | 1.7833 | 700 | 4.1877 | 0.4085 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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