update model card README.md

README.md

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+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: bert-base-uncased-finetuned-wls-manual-7ep-lower
+  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-base-uncased-finetuned-wls-manual-7ep-lower
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3490
+
+## 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: 0.0001
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.1113        | 0.93  | 7    | 1.9498          |
+| 1.6005        | 2.0   | 15   | 1.5784          |
+| 1.4812        | 2.93  | 22   | 1.4474          |
+| 1.3854        | 4.0   | 30   | 1.4290          |
+| 1.2898        | 4.93  | 37   | 1.2682          |
+| 1.2785        | 6.0   | 45   | 1.2677          |
+| 1.2535        | 6.53  | 49   | 1.3363          |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 1.11.0+cu113
+- Datasets 2.14.4
+- Tokenizers 0.13.3