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- library_name: transformers
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- tags: []
 
 
 
 
 
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- # Model Card for Model ID
 
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- ## Model Details
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- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- ### Downstream Use [optional]
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- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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- ## How to Get Started with the Model
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- ## Training Details
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- #### Preprocessing [optional]
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- ## Evaluation
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+ license: mit
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+ base_model: Narrativa/legal-longformer-base-4096-spanish
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: bert-leg-al-corpus
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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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+ # bert-leg-al-corpus
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+ This model is a fine-tuned version of [Narrativa/legal-longformer-base-4096-spanish](https://huggingface.co/Narrativa/legal-longformer-base-4096-spanish) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.2219
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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: 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: 20
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+ ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 120 | 2.7135 |
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+ | No log | 2.0 | 240 | 2.5848 |
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+ | No log | 3.0 | 360 | 2.5374 |
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+ | No log | 4.0 | 480 | 2.4788 |
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+ | 2.7765 | 5.0 | 600 | 2.4294 |
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+ | 2.7765 | 6.0 | 720 | 2.3854 |
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+ | 2.7765 | 7.0 | 840 | 2.3608 |
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+ | 2.7765 | 8.0 | 960 | 2.3505 |
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+ | 2.4729 | 9.0 | 1080 | 2.3189 |
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+ | 2.4729 | 10.0 | 1200 | 2.3048 |
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+ | 2.4729 | 11.0 | 1320 | 2.2949 |
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+ | 2.4729 | 12.0 | 1440 | 2.2657 |
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+ | 2.3559 | 13.0 | 1560 | 2.2393 |
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+ | 2.3559 | 14.0 | 1680 | 2.2309 |
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+ | 2.3559 | 15.0 | 1800 | 2.2160 |
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+ | 2.3559 | 16.0 | 1920 | 2.2143 |
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+ | 2.2843 | 17.0 | 2040 | 2.2282 |
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+ | 2.2843 | 18.0 | 2160 | 2.2146 |
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+ | 2.2843 | 19.0 | 2280 | 2.1929 |
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+ | 2.2843 | 20.0 | 2400 | 2.1950 |
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+ ### Framework versions
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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