update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: bert-mini-mlm-finetuned-emotion
+  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-mini-mlm-finetuned-emotion
+
+This model is a fine-tuned version of [google/bert_uncased_L-4_H-256_A-4](https://huggingface.co/google/bert_uncased_L-4_H-256_A-4) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.0041
+
+## 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: 128
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- num_epochs: 200
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 3.3034        | 22.73  | 500  | 3.0423          |
+| 3.0612        | 45.45  | 1000 | 3.0242          |
+| 2.9507        | 68.18  | 1500 | 2.9806          |
+| 2.8609        | 90.91  | 2000 | 3.0442          |
+| 2.7887        | 113.64 | 2500 | 3.0179          |
+| 2.7104        | 136.36 | 3000 | 3.0041          |
+
+
+### Framework versions
+
+- Transformers 4.25.0
+- Pytorch 1.12.1+cu113
+- Datasets 2.7.1
+- Tokenizers 0.13.2