fatehmujtaba commited on
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Chest-Xray-report-generation

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README.md ADDED
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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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+
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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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+
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+ # image-caption-generator
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+
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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: 0.3393
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 32
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+ - eval_batch_size: 32
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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: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 203 | 0.4971 |
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+ | No log | 2.0 | 406 | 0.4143 |
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+ | 0.6123 | 3.0 | 609 | 0.3731 |
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+ | 0.6123 | 4.0 | 812 | 0.3481 |
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+ | 0.4078 | 5.0 | 1015 | 0.3393 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.2
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+ - Pytorch 2.0.0
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+ - Datasets 2.1.0
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+ - Tokenizers 0.15.0
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+ {
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+ "architectures": [
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+ "VisionEncoderDecoderModel"
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+ ],
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+ "decoder": {
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+ "activation_function": "gelu_new",
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+ "add_cross_attention": true,
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+ "GPT2LMHeadModel"
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+ ],
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