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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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update model card README.md

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  1. README.md +8 -13
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@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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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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  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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  ### Training results
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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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  ### Framework versions
 
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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: 1.1356
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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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  The following hyperparameters were used during training:
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  - learning_rate: 0.001
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+ - train_batch_size: 2
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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: 100
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  ### Training results
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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 | 282 | 1.2013 | 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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+ | 0.9367 | 2.0 | 564 | 1.0731 | 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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+ | 0.9367 | 3.0 | 846 | 1.0889 | 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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+ | 0.9128 | 4.0 | 1128 | 1.0884 | 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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+ | 0.9128 | 5.0 | 1410 | 1.1356 | 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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  ### Framework versions