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medication-single-t5-tiny

Text2Text Generation
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t5
Generated from Trainer
text-generation-inference
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  1. README.md +95 -0
  2. added_tokens.json +5 -0
  3. config.json +31 -0
  4. generation_config.json +7 -0
  5. model.safetensors +3 -0
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: google/t5-efficient-tiny
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: medication-single-t5-tiny
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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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+ # medication-single-t5-tiny
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+
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+ This model is a fine-tuned version of [google/t5-efficient-tiny](https://huggingface.co/google/t5-efficient-tiny) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0212
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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: 0.004
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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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+ - lr_scheduler_warmup_ratio: 0.03
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+ - num_epochs: 3
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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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+ | 1.321 | 0.08 | 100 | 0.6658 |
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+ | 0.5928 | 0.16 | 200 | 0.3980 |
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+ | 0.4394 | 0.23 | 300 | 0.2642 |
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+ | 0.3582 | 0.31 | 400 | 0.2266 |
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+ | 0.3174 | 0.39 | 500 | 0.1874 |
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+ | 0.2776 | 0.47 | 600 | 0.1702 |
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+ | 0.2286 | 0.55 | 700 | 0.1357 |
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+ | 0.2052 | 0.63 | 800 | 0.1147 |
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+ | 0.1962 | 0.7 | 900 | 0.0933 |
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+ | 0.1641 | 0.78 | 1000 | 0.0771 |
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+ | 0.1613 | 0.86 | 1100 | 0.0759 |
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+ | 0.1482 | 0.94 | 1200 | 0.0677 |
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+ | 0.1128 | 1.02 | 1300 | 0.0574 |
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+ | 0.1139 | 1.09 | 1400 | 0.0509 |
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+ | 0.1021 | 1.17 | 1500 | 0.0465 |
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+ | 0.1013 | 1.25 | 1600 | 0.0449 |
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+ | 0.0854 | 1.33 | 1700 | 0.0394 |
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+ | 0.0839 | 1.41 | 1800 | 0.0375 |
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+ | 0.0972 | 1.49 | 1900 | 0.0377 |
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+ | 0.0775 | 1.56 | 2000 | 0.0352 |
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+ | 0.0682 | 1.64 | 2100 | 0.0324 |
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+ | 0.0676 | 1.72 | 2200 | 0.0310 |
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+ | 0.0633 | 1.8 | 2300 | 0.0284 |
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+ | 0.0608 | 1.88 | 2400 | 0.0279 |
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+ | 0.0571 | 1.95 | 2500 | 0.0270 |
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+ | 0.0557 | 2.03 | 2600 | 0.0259 |
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+ | 0.0561 | 2.11 | 2700 | 0.0273 |
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+ | 0.0542 | 2.19 | 2800 | 0.0247 |
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+ | 0.0542 | 2.27 | 2900 | 0.0241 |
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+ | 0.0514 | 2.35 | 3000 | 0.0248 |
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+ | 0.0471 | 2.42 | 3100 | 0.0240 |
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+ | 0.042 | 2.5 | 3200 | 0.0225 |
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+ | 0.0547 | 2.58 | 3300 | 0.0221 |
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+ | 0.0462 | 2.66 | 3400 | 0.0216 |
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+ | 0.0444 | 2.74 | 3500 | 0.0216 |
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+ | 0.0434 | 2.81 | 3600 | 0.0213 |
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+ | 0.0374 | 2.89 | 3700 | 0.0213 |
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+ | 0.0404 | 2.97 | 3800 | 0.0212 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.14.7
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+ - Tokenizers 0.14.1
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+ "layer_norm_epsilon": 1e-06,
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+ "model_type": "t5",
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+ "n_positions": 512,
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+ "num_decoder_layers": 4,
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+ "num_heads": 4,
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+ "num_layers": 4,
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+ "pad_token_id": 0,
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+ "relative_attention_max_distance": 128,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.35.2",
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+ "use_cache": false,
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+ "vocab_size": 32103
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+ }
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