End of training
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README.md
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---
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license: cc-by-sa-4.0
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base_model: raminass/scotus-v10
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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: M4
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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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# M4
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This model is a fine-tuned version of [raminass/scotus-v10](https://huggingface.co/raminass/scotus-v10) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9105
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- Accuracy: 0.7481
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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: 3
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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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| 0.7992 | 1.0 | 2170 | 1.0012 | 0.7062 |
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| 0.4416 | 2.0 | 4340 | 0.9189 | 0.7383 |
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| 0.2695 | 3.0 | 6510 | 0.9105 | 0.7481 |
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### Framework versions
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- Transformers 4.38.0
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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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model.safetensors
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runs/Mar24_11-03-59_ff61fdd84688/events.out.tfevents.1711278248.ff61fdd84688.248.0
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