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README.md
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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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- accuracy
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model-index:
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- name: legalbert-large-1.7M-2_class_actions
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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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# legalbert-large-1.7M-2_class_actions
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This model is a fine-tuned version of [pile-of-law/legalbert-large-1.7M-2](https://huggingface.co/pile-of-law/legalbert-large-1.7M-2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6428
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- Accuracy: 0.61
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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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- 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: 14
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 150 | 0.6380 | 0.6333 |
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| No log | 2.0 | 300 | 0.7457 | 0.55 |
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| No log | 3.0 | 450 | 0.7066 | 0.45 |
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| 0.6843 | 4.0 | 600 | 0.7218 | 0.6767 |
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| 0.6843 | 5.0 | 750 | 0.6360 | 0.6067 |
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| 0.6843 | 6.0 | 900 | 0.6502 | 0.6033 |
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| 0.6751 | 7.0 | 1050 | 0.6664 | 0.6033 |
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| 0.6751 | 8.0 | 1200 | 0.6490 | 0.6133 |
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| 0.6751 | 9.0 | 1350 | 0.6506 | 0.6067 |
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| 0.6781 | 10.0 | 1500 | 0.6486 | 0.61 |
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| 0.6781 | 11.0 | 1650 | 0.6544 | 0.6167 |
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| 0.6781 | 12.0 | 1800 | 0.6425 | 0.61 |
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| 0.6781 | 13.0 | 1950 | 0.6417 | 0.61 |
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| 0.6756 | 14.0 | 2100 | 0.6428 | 0.61 |
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### Framework versions
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- Transformers 4.29.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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