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sohamtiwari3120
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deberta-v3-base-finetuned-ner

Token Classification
Transformers
PyTorch
deberta-v2
Generated from Trainer
Inference Endpoints
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+ ---
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+ license: mit
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - generator
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+ model-index:
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+ - name: deberta-v3-base-finetuned-ner
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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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+ # deberta-v3-base-finetuned-ner
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+
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+ This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5136
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+ - Overall Precision: 0.0
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+ - Overall Recall: 0.0
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+ - Overall F1: 0.0
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+ - Overall Accuracy: 0.9116
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+ - Datasetname F1: 0.0
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+ - Hyperparametername F1: 0.0
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+ - Hyperparametervalue F1: 0.0
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+ - Methodname F1: 0.0
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+ - Metricname F1: 0.0
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+ - Metricvalue F1: 0.0
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+ - Taskname F1: 0.0
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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: 0.001
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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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: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy | Datasetname F1 | Hyperparametername F1 | Hyperparametervalue F1 | Methodname F1 | Metricname F1 | Metricvalue F1 | Taskname F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------------:|:----------:|:----------------:|:--------------:|:---------------------:|:----------------------:|:-------------:|:-------------:|:--------------:|:-----------:|
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+ | No log | 1.0 | 71 | 0.5821 | 0.0 | 0.0 | 0.0 | 0.9116 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | No log | 2.0 | 142 | 0.5116 | 0.0 | 0.0 | 0.0 | 0.9116 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | No log | 3.0 | 213 | 0.5100 | 0.0 | 0.0 | 0.0 | 0.9116 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | No log | 4.0 | 284 | 0.5116 | 0.0 | 0.0 | 0.0 | 0.9116 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | No log | 5.0 | 355 | 0.5181 | 0.0 | 0.0 | 0.0 | 0.9116 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | No log | 6.0 | 426 | 0.5098 | 0.0 | 0.0 | 0.0 | 0.9116 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | No log | 7.0 | 497 | 0.5060 | 0.0 | 0.0 | 0.0 | 0.9116 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.5155 | 8.0 | 568 | 0.5263 | 0.0 | 0.0 | 0.0 | 0.9116 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.5155 | 9.0 | 639 | 0.5109 | 0.0 | 0.0 | 0.0 | 0.9116 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+ | 0.5155 | 10.0 | 710 | 0.5136 | 0.0 | 0.0 | 0.0 | 0.9116 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.23.1
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+ - Pytorch 1.12.1+cu102
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+ - Datasets 2.6.1
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+ - Tokenizers 0.13.1