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End of training

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  1. README.md +69 -0
  2. adapter_model.bin +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: t5-base
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: t5_medical_diagnostic_peft
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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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+ # t5_medical_diagnostic_peft
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+
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+ This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.7468
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+ - Rouge1: 0.4227
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+ - Rouge2: 0.2234
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+ - Rougel: 0.3594
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+ - Rougelsum: 0.3595
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+ - Gen Len: 17.5843
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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: 0.001
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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: 1
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | 1.9974 | 0.2 | 500 | 1.7864 | 0.4167 | 0.221 | 0.3561 | 0.356 | 17.6092 |
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+ | 1.9244 | 0.4 | 1000 | 1.7504 | 0.4166 | 0.2214 | 0.3577 | 0.3577 | 16.9937 |
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+ | 1.9121 | 0.6 | 1500 | 1.7274 | 0.4209 | 0.2245 | 0.3593 | 0.3594 | 17.2876 |
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+ | 1.8677 | 0.8 | 2000 | 1.7101 | 0.4253 | 0.2266 | 0.363 | 0.3631 | 17.5681 |
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+ | 1.8927 | 1.0 | 2500 | 1.7468 | 0.4227 | 0.2234 | 0.3594 | 0.3595 | 17.5843 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.0.dev0
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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