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gaodrew
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piiranha-gretelai-test2

Token Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
Inference Endpoints
Model card Files Community
gaodrew commited on
Commit
3252769
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1 Parent(s): ec26f54

Training in progress, step 500

Browse files
Files changed (10) hide show
  1. .gitattributes +1 -0
  2. README.md +70 -0
  3. added_tokens.json +3 -0
  4. config.json +99 -0
  5. model.safetensors +3 -0
  6. special_tokens_map.json +15 -0
  7. spm.model +3 -0
  8. tokenizer.json +3 -0
  9. tokenizer_config.json +858 -0
  10. training_args.bin +3 -0
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: mit
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+ base_model: microsoft/mdeberta-v3-base
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - precision
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+ - recall
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+ - f1
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+ - accuracy
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+ model-index:
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+ - name: piiranha-gretelai-test
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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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+ # piiranha-gretelai-test
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+
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+ This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1008
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+ - Precision: 0.6935
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+ - Recall: 0.7739
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+ - F1: 0.7315
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+ - Accuracy: 0.9695
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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: 5e-05
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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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: 0.05
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+ - num_epochs: 1
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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 | Precision | Recall | F1 | Accuracy |
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+ |:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.1561 | 0.3342 | 250 | 0.1173 | 0.6640 | 0.7056 | 0.6842 | 0.9655 |
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+ | 0.102 | 0.6684 | 500 | 0.1009 | 0.6870 | 0.7693 | 0.7258 | 0.9687 |
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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 3.0.1
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+ - Tokenizers 0.19.1
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+ {
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+ "_name_or_path": "microsoft/mdeberta-v3-base",
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+ "architectures": [
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+ "DebertaV2ForTokenClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "hidden_act": "gelu",
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "I-ACCOUNT_PIN",
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+ "1": "I-API_KEY",
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+ "2": "I-BANK_ROUTING_NUMBER",
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+ "3": "I-BBAN",
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+ "4": "I-COMPANY",
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+ "5": "I-CREDIT_CARD_NUMBER",
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+ "6": "I-CREDIT_CARD_SECURITY_CODE",
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+ "7": "I-CUSTOMER_ID",
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+ "8": "I-DATE",
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+ "9": "I-DATE_OF_BIRTH",
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+ "10": "I-DATE_TIME",
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+ "torch_dtype": "float32",
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+ "type_vocab_size": 0,
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