End of training

README.md

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+---
+base_model: klue/roberta-small
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: klue_roberta_small_ner_identified
+  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. -->
+
+# klue_roberta_small_ner_identified
+
+This model is a fine-tuned version of [klue/roberta-small](https://huggingface.co/klue/roberta-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0128
+- Precision: 0.9866
+- Recall: 1.0
+- F1: 0.9932
+- Accuracy: 0.9995
+
+## 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: 5e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 15   | 0.1702          | 0.0767    | 0.1905 | 0.1094 | 0.9585   |
+| No log        | 2.0   | 30   | 0.0861          | 0.4163    | 0.5748 | 0.4829 | 0.9793   |
+| No log        | 3.0   | 45   | 0.0443          | 0.7741    | 0.8741 | 0.8211 | 0.9919   |
+| No log        | 4.0   | 60   | 0.0262          | 0.8984    | 0.9626 | 0.9294 | 0.9970   |
+| No log        | 5.0   | 75   | 0.0176          | 0.9734    | 0.9966 | 0.9849 | 0.9994   |
+| No log        | 6.0   | 90   | 0.0147          | 0.9767    | 0.9966 | 0.9865 | 0.9994   |
+| No log        | 7.0   | 105  | 0.0132          | 0.9866    | 1.0    | 0.9932 | 0.9995   |
+| No log        | 8.0   | 120  | 0.0128          | 0.9866    | 1.0    | 0.9932 | 0.9995   |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu118
+- Datasets 2.19.1
+- Tokenizers 0.19.1

model.safetensors

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