update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: bert-small-finetuned-ner-to-multilabel-xglue-ner
+  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. -->
+
+# bert-small-finetuned-ner-to-multilabel-xglue-ner
+
+This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0616
+
+## 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: 3e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.2168        | 0.28  | 500  | 0.1212          |
+| 0.1067        | 0.57  | 1000 | 0.0865          |
+| 0.0878        | 0.85  | 1500 | 0.0710          |
+| 0.0667        | 1.14  | 2000 | 0.0670          |
+| 0.0529        | 1.42  | 2500 | 0.0614          |
+| 0.0516        | 1.71  | 3000 | 0.0577          |
+| 0.0469        | 1.99  | 3500 | 0.0608          |
+| 0.033         | 2.28  | 4000 | 0.0592          |
+| 0.0317        | 2.56  | 4500 | 0.0616          |
+
+
+### Framework versions
+
+- Transformers 4.21.2
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1