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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: image-caption-generator |
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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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# image-caption-generator |
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4328 |
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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: 0.0001 |
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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: 10 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 67 | 0.2870 | |
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| No log | 2.0 | 134 | 0.2818 | |
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| No log | 3.0 | 201 | 0.2921 | |
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| No log | 4.0 | 268 | 0.3125 | |
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| No log | 5.0 | 335 | 0.3431 | |
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| No log | 6.0 | 402 | 0.3812 | |
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| No log | 7.0 | 469 | 0.3979 | |
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| 0.3841 | 8.0 | 536 | 0.4125 | |
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| 0.3841 | 9.0 | 603 | 0.4289 | |
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| 0.3841 | 10.0 | 670 | 0.4328 | |
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### Framework versions |
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- Transformers 4.16.2 |
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- Pytorch 1.9.1 |
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- Datasets 1.18.4 |
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- Tokenizers 0.11.6 |
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