update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: chinese-lert-large-ling-cls
+  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. -->
+
+# chinese-lert-large-ling-cls
+
+This model is a fine-tuned version of [hfl/chinese-lert-large](https://huggingface.co/hfl/chinese-lert-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4531
+- Accuracy: 0.7822
+
+## 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: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5082        | 1.0   | 1008 | 0.5476          | 0.7601   |
+| 0.3669        | 2.0   | 2017 | 0.5202          | 0.7978   |
+| 0.2006        | 3.0   | 3025 | 0.8294          | 0.7748   |
+| 0.0954        | 4.0   | 4034 | 1.2630          | 0.7931   |
+| 0.0447        | 5.0   | 5040 | 1.4531          | 0.7822   |
+
+
+### Framework versions
+
+- Transformers 4.29.2
+- Pytorch 2.0.1
+- Datasets 2.12.0
+- Tokenizers 0.11.6