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Training in progress, step 1000

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  1. README.md +83 -0
  2. config.json +174 -174
  3. model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md ADDED
@@ -0,0 +1,83 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ library_name: transformers
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+ base_model: microsoft/deberta-v3-small
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ - f1
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+ - precision
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+ - recall
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+ model-index:
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+ - name: doc-topic-model_eval-00_train-03
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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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+ # doc-topic-model_eval-00_train-03
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+
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+ This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0375
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+ - Accuracy: 0.9878
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+ - F1: 0.6375
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+ - Precision: 0.7079
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+ - Recall: 0.5798
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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: 2e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 256
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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: 100
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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 | Accuracy | F1 | Precision | Recall |
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+ |:-------------:|:------:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.0923 | 0.4931 | 1000 | 0.0865 | 0.9815 | 0.0 | 0.0 | 0.0 |
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+ | 0.0734 | 0.9862 | 2000 | 0.0668 | 0.9815 | 0.0 | 0.0 | 0.0 |
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+ | 0.0606 | 1.4793 | 3000 | 0.0552 | 0.9824 | 0.1265 | 0.7701 | 0.0689 |
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+ | 0.0532 | 1.9724 | 4000 | 0.0491 | 0.9841 | 0.2944 | 0.8178 | 0.1795 |
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+ | 0.0466 | 2.4655 | 5000 | 0.0467 | 0.9851 | 0.4323 | 0.7342 | 0.3063 |
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+ | 0.0433 | 2.9586 | 6000 | 0.0428 | 0.9859 | 0.4847 | 0.7565 | 0.3566 |
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+ | 0.0391 | 3.4517 | 7000 | 0.0408 | 0.9866 | 0.5389 | 0.7450 | 0.4221 |
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+ | 0.0378 | 3.9448 | 8000 | 0.0395 | 0.9867 | 0.5527 | 0.7365 | 0.4423 |
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+ | 0.0338 | 4.4379 | 9000 | 0.0387 | 0.9870 | 0.5844 | 0.7160 | 0.4936 |
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+ | 0.0333 | 4.9310 | 10000 | 0.0380 | 0.9871 | 0.5953 | 0.7094 | 0.5128 |
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+ | 0.0301 | 5.4241 | 11000 | 0.0371 | 0.9876 | 0.6042 | 0.7368 | 0.5120 |
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+ | 0.0292 | 5.9172 | 12000 | 0.0367 | 0.9877 | 0.6120 | 0.7381 | 0.5227 |
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+ | 0.0266 | 6.4103 | 13000 | 0.0369 | 0.9879 | 0.6132 | 0.7535 | 0.5170 |
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+ | 0.0257 | 6.9034 | 14000 | 0.0371 | 0.9877 | 0.6187 | 0.7257 | 0.5392 |
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+ | 0.0229 | 7.3964 | 15000 | 0.0371 | 0.9880 | 0.6330 | 0.7279 | 0.5600 |
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+ | 0.0238 | 7.8895 | 16000 | 0.0372 | 0.9879 | 0.6306 | 0.7250 | 0.5579 |
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+ | 0.0198 | 8.3826 | 17000 | 0.0375 | 0.9878 | 0.6375 | 0.7079 | 0.5798 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
config.json CHANGED
@@ -8,184 +8,184 @@
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- "9": "Jobs & Development",
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- "10": "Transport",
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- "11": "Sustainable Infrastructure Finance",
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- "12": "Pandemic Preparedness and COVID-19",
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- "13": "Taxes and Government Revenue",
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- "14": "Labor Markets",
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- "16": "Food Security Update",
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- "17": "Disability Inclusion",
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- "18": "Agriculture and Food",
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- "19": "Trade Facilitation and Logistics",
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- "20": "Social Protection",
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- "21": "One Health",
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- "23": "Social Inclusion",
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- "25": "Water Supply",
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- "27": "Food System Jobs",
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- "30": "Universal Health Coverage",
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- "37": "Digital Development",
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- "38": "Long-Term Finance",
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