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---
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license: apache-2.0
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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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base_model: bert-base-cased
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model-index:
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- name: mi-see-supermodel
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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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# mi-see-supermodel
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4912
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- Accuracy: 0.34
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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: 5e-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: 1
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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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| 1.4775 | 0.13 | 5 | 1.6354 | 0.19 |
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| 1.6511 | 0.26 | 10 | 1.6385 | 0.18 |
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| 1.5773 | 0.39 | 15 | 1.5964 | 0.23 |
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| 1.5297 | 0.53 | 20 | 1.5573 | 0.27 |
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| 1.5219 | 0.66 | 25 | 1.5350 | 0.3 |
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| 1.459 | 0.79 | 30 | 1.5178 | 0.32 |
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| 1.5498 | 0.92 | 35 | 1.4912 | 0.34 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.3.0
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- Datasets 2.18.0
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- Tokenizers 0.15.1
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