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evacun-lemmatization-vanilla

Text2Text Generation
Transformers
Safetensors
t5
Generated from Trainer
text-generation-inference
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  1. README.md +86 -0
  2. generation_config.json +6 -0
  3. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ library_name: transformers
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+ base_model: bowphs/evacun2025-1
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: evacun-lemmatization-vanilla
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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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+ # evacun-lemmatization-vanilla
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+
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+ This model is a fine-tuned version of [bowphs/evacun2025-1](https://huggingface.co/bowphs/evacun2025-1) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4795
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+ - Exact Match: 0.8701
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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: 1e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 64
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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: 50
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Exact Match |
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+ |:-------------:|:-----:|:------:|:---------------:|:-----------:|
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+ | 0.4563 | 1.0 | 4572 | 0.5323 | 0.6769 |
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+ | 0.2377 | 2.0 | 9144 | 0.3433 | 0.8097 |
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+ | 0.1578 | 3.0 | 13716 | 0.2905 | 0.7674 |
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+ | 0.1118 | 4.0 | 18288 | 0.2715 | 0.8336 |
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+ | 0.0733 | 5.0 | 22860 | 0.2761 | 0.8431 |
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+ | 0.0534 | 6.0 | 27432 | 0.2985 | 0.8317 |
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+ | 0.038 | 7.0 | 32004 | 0.3253 | 0.8465 |
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+ | 0.0263 | 8.0 | 36576 | 0.3477 | 0.8485 |
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+ | 0.0202 | 9.0 | 41148 | 0.3713 | 0.8468 |
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+ | 0.0165 | 10.0 | 45720 | 0.3877 | 0.8123 |
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+ | 0.0119 | 11.0 | 50292 | 0.4046 | 0.8492 |
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+ | 0.0104 | 12.0 | 54864 | 0.4154 | 0.8396 |
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+ | 0.0095 | 13.0 | 59436 | 0.4326 | 0.8415 |
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+ | 0.0071 | 14.0 | 64008 | 0.4367 | 0.8458 |
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+ | 0.006 | 15.0 | 68580 | 0.4485 | 0.8615 |
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+ | 0.0055 | 16.0 | 73152 | 0.4544 | 0.8623 |
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+ | 0.0044 | 17.0 | 77724 | 0.4618 | 0.8547 |
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+ | 0.0037 | 18.0 | 82296 | 0.4613 | 0.8643 |
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+ | 0.0034 | 19.0 | 86868 | 0.4720 | 0.8631 |
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+ | 0.0033 | 20.0 | 91440 | 0.4731 | 0.8623 |
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+ | 0.0026 | 21.0 | 96012 | 0.4849 | 0.861 |
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+ | 0.0026 | 22.0 | 100584 | 0.4795 | 0.8701 |
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+ | 0.002 | 23.0 | 105156 | 0.4890 | 0.8657 |
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+ | 0.0021 | 24.0 | 109728 | 0.4876 | 0.8691 |
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+ | 0.0016 | 25.0 | 114300 | 0.4916 | 0.8684 |
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+ | 0.0017 | 26.0 | 118872 | 0.4931 | 0.8566 |
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+ | 0.001 | 27.0 | 123444 | 0.4985 | 0.8606 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.1
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.0
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+ - Tokenizers 0.20.0
generation_config.json ADDED
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+ "eos_token_id": 1,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.45.1"
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+ }
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