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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-goodreads-bookgenres-Description_cls-5e |
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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-goodreads-bookgenres-Description_cls-5e |
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This model is a fine-tuned version of [albert-xxlarge-v2](https://huggingface.co/albert-xxlarge-v2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1905 |
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- F1: 0.7058 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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: 5.0 |
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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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| 0.2903 | 0.99 | 123 | 0.2686 | 0.4011 | |
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| 0.2171 | 2.0 | 247 | 0.2168 | 0.6493 | |
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| 0.1879 | 3.0 | 371 | 0.1990 | 0.6612 | |
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| 0.1476 | 4.0 | 495 | 0.1879 | 0.7060 | |
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| 0.1279 | 4.97 | 615 | 0.1905 | 0.7058 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.2.0.dev20231001+cu121 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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