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flan-t5-large-medication-lists

Text2Text Generation
Transformers
PyTorch
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
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austin/medication-single-t5-large

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Files changed (10) hide show
  1. README.md +91 -0
  2. added_tokens.json +5 -0
  3. config.json +33 -0
  4. generation_config.json +7 -0
  5. pytorch_model.bin +3 -0
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  7. spiece.model +3 -0
  8. tokenizer.json +0 -0
  9. tokenizer_config.json +112 -0
  10. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: google/flan-t5-large
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: flan-t5-large-medication-lists
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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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+ # flan-t5-large-medication-lists
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+
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+ This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1217
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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: 0.0003
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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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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+ - lr_scheduler_warmup_ratio: 0.03
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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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+ | 5.8837 | 0.14 | 10 | 3.0384 |
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+ | 2.3005 | 0.29 | 20 | 1.3933 |
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+ | 6.7398 | 0.43 | 30 | 1.1939 |
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+ | 1.1056 | 0.58 | 40 | 0.9215 |
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+ | 0.5642 | 0.72 | 50 | 0.4442 |
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+ | 0.6142 | 0.87 | 60 | 0.3734 |
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+ | 0.2249 | 1.01 | 70 | 0.4756 |
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+ | 11.7466 | 1.16 | 80 | 0.3282 |
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+ | 0.1689 | 1.3 | 90 | 0.3007 |
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+ | 0.2137 | 1.45 | 100 | 0.2909 |
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+ | 0.1703 | 1.59 | 110 | 0.4483 |
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+ | 16.8974 | 1.74 | 120 | 0.3103 |
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+ | 0.1207 | 1.88 | 130 | 0.2340 |
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+ | 0.2416 | 2.03 | 140 | 0.2377 |
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+ | 0.1477 | 2.17 | 150 | 0.1635 |
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+ | 0.1021 | 2.32 | 160 | 0.2011 |
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+ | 8.3316 | 2.46 | 170 | 0.3211 |
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+ | 14.5038 | 2.61 | 180 | 0.3357 |
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+ | 0.0668 | 2.75 | 190 | 0.2597 |
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+ | 12.083 | 2.9 | 200 | 0.2205 |
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+ | 0.1218 | 3.04 | 210 | 0.1276 |
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+ | 13.2802 | 3.19 | 220 | 0.1452 |
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+ | 0.0587 | 3.33 | 230 | 0.1759 |
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+ | 0.0714 | 3.48 | 240 | 0.1789 |
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+ | 0.0819 | 3.62 | 250 | 0.1466 |
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+ | 0.0461 | 3.77 | 260 | 0.1457 |
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+ | 0.0597 | 3.91 | 270 | 0.1560 |
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+ | 8.6414 | 4.06 | 280 | 0.1322 |
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+ | 17.3547 | 4.2 | 290 | 0.1115 |
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+ | 16.9251 | 4.35 | 300 | 0.1273 |
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+ | 0.0516 | 4.49 | 310 | 0.1229 |
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+ | 0.0335 | 4.64 | 320 | 0.1210 |
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+ | 17.3581 | 4.78 | 330 | 0.1211 |
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+ | 0.0234 | 4.93 | 340 | 0.1217 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.3
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+ - Pytorch 2.0.1
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+ - Datasets 2.14.5
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+ - Tokenizers 0.13.3
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