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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: Longformer_v5 |
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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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# Longformer_v5 |
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This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7919 |
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- Precision: 0.8516 |
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- Recall: 0.8678 |
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- F1: 0.6520 |
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- Accuracy: 0.8259 |
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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: 5e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 8 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 7 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| 0.7744 | 1.0 | 1012 | 0.5785 | 0.8375 | 0.8501 | 0.5798 | 0.8098 | |
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| 0.5211 | 2.0 | 2024 | 0.5415 | 0.8434 | 0.8801 | 0.6251 | 0.8282 | |
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| 0.3996 | 3.0 | 3036 | 0.5565 | 0.8500 | 0.8766 | 0.6303 | 0.8274 | |
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| 0.2964 | 4.0 | 4048 | 0.6017 | 0.8617 | 0.8546 | 0.6415 | 0.8240 | |
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| 0.2187 | 5.0 | 5060 | 0.6660 | 0.8485 | 0.8718 | 0.6431 | 0.8271 | |
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| 0.1603 | 6.0 | 6072 | 0.7235 | 0.8493 | 0.8759 | 0.6544 | 0.8290 | |
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| 0.1208 | 7.0 | 7084 | 0.7919 | 0.8516 | 0.8678 | 0.6520 | 0.8259 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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