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README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: few_shot_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. -->
+
+# few_shot_ner
+
+This model is a fine-tuned version of [qgyd2021/few_shot_ner](https://huggingface.co/qgyd2021/few_shot_ner) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6024
+
+## 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: 0.0002
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 100.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.563         | 0.08  | 1000 | 0.6020          |
+| 0.578         | 0.15  | 2000 | 0.6043          |
+| 0.5821        | 0.23  | 3000 | 0.6059          |
+| 0.5799        | 0.3   | 4000 | 0.6048          |
+| 0.5851        | 0.38  | 5000 | 0.6033          |
+| 0.5811        | 0.46  | 6000 | 0.6024          |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 1.13.0+cu117
+- Datasets 2.14.4
+- Tokenizers 0.13.3