Model save

README.md

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+---
+library_name: transformers
+license: mit
+base_model: microsoft/deberta-base
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: deberta-base-cased-finetuned-ner-final
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# deberta-base-cased-finetuned-ner-final
+
+This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4915
+- Precision: 0.8451
+- Recall: 0.8570
+- F1: 0.8510
+- Accuracy: 0.9669
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 4.331046950257529e-05
+- train_batch_size: 8
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.022489239711791377
+- num_epochs: 4
+- label_smoothing_factor: 0.0628867621783132
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.4906        | 1.0   | 4250  | 0.4915          | 0.8098    | 0.8309 | 0.8202 | 0.9619   |
+| 0.4703        | 2.0   | 8500  | 0.4831          | 0.8368    | 0.8407 | 0.8387 | 0.9649   |
+| 0.4488        | 3.0   | 12750 | 0.4850          | 0.8295    | 0.8531 | 0.8411 | 0.9651   |
+| 0.4245        | 4.0   | 17000 | 0.4915          | 0.8451    | 0.8570 | 0.8510 | 0.9669   |
+
+
+### Framework versions
+
+- Transformers 4.50.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.4.1
+- Tokenizers 0.21.1

runs/Apr09_12-26-58_7425ea686d70/events.out.tfevents.1744202483.7425ea686d70.106537.1

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