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medication-single-t5

Text2Text Generation
Transformers
TensorBoard
Safetensors
t5
Generated from Trainer
text-generation-inference
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End of training

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  1. README.md +26 -25
  2. model.safetensors +1 -1
  3. runs/Dec04_14-30-36_christopher-System-Product-Name/events.out.tfevents.1701660637.christopher-System-Product-Name.49130.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/t5-efficient-small](https://huggingface.co/google/t5-efficient-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0140
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  ## Model description
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@@ -47,30 +47,31 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.4902 | 0.08 | 100 | 0.2015 |
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- | 0.1336 | 0.16 | 200 | 0.0792 |
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- | 0.0965 | 0.24 | 300 | 0.0527 |
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- | 0.0741 | 0.32 | 400 | 0.0442 |
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- | 0.0646 | 0.4 | 500 | 0.0383 |
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- | 0.0536 | 0.48 | 600 | 0.0353 |
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- | 0.0507 | 0.56 | 700 | 0.0307 |
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- | 0.0483 | 0.65 | 800 | 0.0275 |
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- | 0.0439 | 0.73 | 900 | 0.0267 |
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- | 0.0443 | 0.81 | 1000 | 0.0239 |
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- | 0.0398 | 0.89 | 1100 | 0.0244 |
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- | 0.0396 | 0.97 | 1200 | 0.0207 |
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- | 0.0324 | 1.05 | 1300 | 0.0207 |
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- | 0.0299 | 1.13 | 1400 | 0.0204 |
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- | 0.0279 | 1.21 | 1500 | 0.0195 |
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- | 0.0289 | 1.29 | 1600 | 0.0181 |
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- | 0.0312 | 1.37 | 1700 | 0.0174 |
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- | 0.0241 | 1.45 | 1800 | 0.0163 |
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- | 0.022 | 1.53 | 1900 | 0.0162 |
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- | 0.0212 | 1.61 | 2000 | 0.0155 |
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- | 0.0227 | 1.69 | 2100 | 0.0148 |
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- | 0.0221 | 1.78 | 2200 | 0.0145 |
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- | 0.0195 | 1.86 | 2300 | 0.0144 |
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- | 0.0189 | 1.94 | 2400 | 0.0140 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/t5-efficient-small](https://huggingface.co/google/t5-efficient-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0134
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.5257 | 0.08 | 100 | 0.2084 |
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+ | 0.1412 | 0.16 | 200 | 0.0880 |
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+ | 0.0902 | 0.23 | 300 | 0.0543 |
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+ | 0.0791 | 0.31 | 400 | 0.0456 |
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+ | 0.072 | 0.39 | 500 | 0.0392 |
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+ | 0.0567 | 0.47 | 600 | 0.0349 |
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+ | 0.0507 | 0.55 | 700 | 0.0312 |
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+ | 0.0493 | 0.63 | 800 | 0.0285 |
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+ | 0.041 | 0.7 | 900 | 0.0246 |
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+ | 0.0423 | 0.78 | 1000 | 0.0255 |
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+ | 0.0382 | 0.86 | 1100 | 0.0247 |
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+ | 0.0375 | 0.94 | 1200 | 0.0217 |
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+ | 0.0298 | 1.02 | 1300 | 0.0211 |
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+ | 0.0327 | 1.09 | 1400 | 0.0198 |
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+ | 0.0272 | 1.17 | 1500 | 0.0195 |
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+ | 0.0301 | 1.25 | 1600 | 0.0183 |
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+ | 0.0259 | 1.33 | 1700 | 0.0179 |
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+ | 0.0273 | 1.41 | 1800 | 0.0164 |
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+ | 0.0244 | 1.49 | 1900 | 0.0163 |
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+ | 0.0222 | 1.56 | 2000 | 0.0161 |
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+ | 0.0214 | 1.64 | 2100 | 0.0158 |
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+ | 0.0199 | 1.72 | 2200 | 0.0146 |
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+ | 0.0202 | 1.8 | 2300 | 0.0141 |
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+ | 0.0214 | 1.88 | 2400 | 0.0135 |
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+ | 0.018 | 1.95 | 2500 | 0.0134 |
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  ### Framework versions
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