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--- |
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library_name: transformers |
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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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datasets: |
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- imagefolder |
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model-index: |
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- name: git-base-one-5e-5-25 |
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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-one-5e-5-25 |
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This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.8238 |
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- Wer Score: 5.8 |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 4 |
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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: 25 |
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- mixed_precision_training: Native AMP |
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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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| No log | 1.25 | 5 | 9.5084 | 50.1 | |
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| 9.9196 | 2.5 | 10 | 8.4842 | 64.85 | |
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| 9.9196 | 3.75 | 15 | 7.9215 | 67.6 | |
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| 8.0697 | 5.0 | 20 | 7.4826 | 66.45 | |
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| 8.0697 | 6.25 | 25 | 7.0776 | 53.95 | |
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| 7.2067 | 7.5 | 30 | 6.6926 | 18.05 | |
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| 7.2067 | 8.75 | 35 | 6.3268 | 17.6 | |
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| 6.4594 | 10.0 | 40 | 5.9807 | 19.8 | |
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| 6.4594 | 11.25 | 45 | 5.6568 | 19.35 | |
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| 5.7908 | 12.5 | 50 | 5.3563 | 6.15 | |
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| 5.7908 | 13.75 | 55 | 5.0803 | 6.2 | |
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| 5.2135 | 15.0 | 60 | 4.8305 | 5.8 | |
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| 5.2135 | 16.25 | 65 | 4.6068 | 5.75 | |
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| 4.7358 | 17.5 | 70 | 4.4111 | 5.8 | |
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| 4.7358 | 18.75 | 75 | 4.2427 | 5.8 | |
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| 4.3652 | 20.0 | 80 | 4.1027 | 5.8 | |
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| 4.3652 | 21.25 | 85 | 3.9908 | 5.8 | |
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| 4.1076 | 22.5 | 90 | 3.9070 | 5.8 | |
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| 4.1076 | 23.75 | 95 | 3.8515 | 5.8 | |
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| 3.9616 | 25.0 | 100 | 3.8238 | 5.8 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.5.0+cu121 |
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- Datasets 3.0.2 |
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- Tokenizers 0.19.1 |
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