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--- |
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license: apache-2.0 |
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base_model: Flamenco43/MatBERT |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: MatBERTNanoQA |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/nananansnsns/LLLM/runs/ucjaut87) |
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# MatBERTNanoQA |
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This model is a fine-tuned version of [Flamenco43/MatBERT](https://huggingface.co/Flamenco43/MatBERT) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1722 |
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- F1: 74.5785 |
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- Em: 62.5 |
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- Precision: 0 |
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- Recall: 0 |
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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: 2e-05 |
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- train_batch_size: 128 |
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- eval_batch_size: 128 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | Em | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:---------:|:------:| |
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| 1.1937 | 1.0 | 1118 | 1.5914 | 67.1538 | 50.0 | 0 | 0 | |
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| 1.0172 | 2.0 | 2236 | 1.3482 | 72.0843 | 59.6154 | 0 | 0 | |
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| 0.8463 | 3.0 | 3354 | 1.2223 | 74.0304 | 62.5 | 0 | 0 | |
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| 0.7447 | 4.0 | 4472 | 1.1722 | 74.5785 | 62.5 | 0 | 0 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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