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--- |
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license: mit |
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base_model: microsoft/git-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: git-base-floors |
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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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# git-base-floors |
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This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0322 |
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- Wer Score: 1.8463 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer Score | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:| |
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| 6.8447 | 4.76 | 50 | 4.1895 | 2.2204 | |
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| 2.1937 | 9.52 | 100 | 0.4359 | 3.1889 | |
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| 0.1385 | 14.29 | 150 | 0.0360 | 0.1426 | |
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| 0.0184 | 19.05 | 200 | 0.0307 | 0.6185 | |
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| 0.0117 | 23.81 | 250 | 0.0287 | 0.1741 | |
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| 0.0095 | 28.57 | 300 | 0.0293 | 1.1463 | |
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| 0.0081 | 33.33 | 350 | 0.0292 | 0.8463 | |
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| 0.0061 | 38.1 | 400 | 0.0312 | 2.0333 | |
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| 0.0044 | 42.86 | 450 | 0.0322 | 1.9204 | |
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| 0.0032 | 47.62 | 500 | 0.0322 | 1.8463 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.0.1 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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