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--- |
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license: apache-2.0 |
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base_model: albert-xxlarge-v2 |
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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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model-index: |
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- name: albert-xxlarge-v2-disaster-twitter-preprocess_data |
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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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# albert-xxlarge-v2-disaster-twitter-preprocess_data |
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This model is a fine-tuned version of [albert-xxlarge-v2](https://huggingface.co/albert-xxlarge-v2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4819 |
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- F1: 0.7818 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 6 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.603 | 1.0 | 762 | 0.6956 | 0.0 | |
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| 0.5915 | 2.0 | 1524 | 0.7287 | 0.7011 | |
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| 0.5551 | 3.0 | 2286 | 0.5446 | 0.7629 | |
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| 0.4994 | 4.0 | 3048 | 0.4434 | 0.7722 | |
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| 0.4244 | 5.0 | 3810 | 0.4622 | 0.7840 | |
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| 0.4126 | 6.0 | 4572 | 0.4819 | 0.7818 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.1.2 |
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- Datasets 2.1.0 |
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- Tokenizers 0.15.2 |
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