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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: GenerativeImage2Text-naruto |
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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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# GenerativeImage2Text-naruto |
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This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0544 |
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- Wer Score: 2.6810 |
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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: 30 |
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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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| 7.2829 | 1.8182 | 50 | 4.4333 | 11.5086 | |
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| 2.2118 | 3.6364 | 100 | 0.3655 | 1.1034 | |
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| 0.1089 | 5.4545 | 150 | 0.0428 | 1.0259 | |
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| 0.0223 | 7.2727 | 200 | 0.0421 | 0.4655 | |
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| 0.0162 | 9.0909 | 250 | 0.0430 | 0.4224 | |
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| 0.0139 | 10.9091 | 300 | 0.0434 | 0.9569 | |
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| 0.0126 | 12.7273 | 350 | 0.0455 | 0.8534 | |
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| 0.0115 | 14.5455 | 400 | 0.0457 | 3.2845 | |
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| 0.0106 | 16.3636 | 450 | 0.0490 | 2.3190 | |
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| 0.0096 | 18.1818 | 500 | 0.0515 | 2.2241 | |
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| 0.0094 | 20.0 | 550 | 0.0520 | 1.9569 | |
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| 0.0087 | 21.8182 | 600 | 0.0540 | 4.2328 | |
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| 0.0084 | 23.6364 | 650 | 0.0539 | 1.8448 | |
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| 0.008 | 25.4545 | 700 | 0.0546 | 2.5431 | |
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| 0.0077 | 27.2727 | 750 | 0.0542 | 2.7672 | |
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| 0.0072 | 29.0909 | 800 | 0.0544 | 2.6810 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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