End of training
Browse files- README.md +66 -0
- model.safetensors +1 -1
README.md
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---
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license: mit
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base_model: FacebookAI/xlm-roberta-large
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tags:
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- generated_from_trainer
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model-index:
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- name: xlm-roberta-large-legal-act
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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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# xlm-roberta-large-legal-act
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2099
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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: 1e-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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.4944 | 1.0 | 443 | 0.2680 |
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| 0.317 | 2.0 | 886 | 0.3006 |
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| 0.494 | 3.0 | 1329 | 0.2791 |
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| 0.2472 | 4.0 | 1772 | 0.2096 |
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| 0.117 | 5.0 | 2215 | 0.1947 |
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| 0.0838 | 6.0 | 2658 | 0.1859 |
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| 0.2747 | 7.0 | 3101 | 0.2133 |
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| 0.2151 | 8.0 | 3544 | 0.1685 |
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| 0.0016 | 9.0 | 3987 | 0.1614 |
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| 0.0968 | 10.0 | 4430 | 0.2099 |
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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model.safetensors
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size 2239618672
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version https://git-lfs.github.com/spec/v1
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size 2239618672
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