update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: bert-large-uncased-finetuned-DA-Zero-shot
+  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-large-uncased-finetuned-DA-Zero-shot
+
+This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1318
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.1282        | 1.0   | 435  | 1.3862          |
+| 1.1307        | 2.0   | 870  | 1.3362          |
+| 1.2243        | 3.0   | 1305 | 1.2791          |
+| 1.274         | 4.0   | 1740 | 1.2143          |
+| 1.2296        | 5.0   | 2175 | 1.1799          |
+| 1.1773        | 6.0   | 2610 | 1.1550          |
+| 1.1519        | 7.0   | 3045 | 1.1295          |
+| 1.1406        | 8.0   | 3480 | 1.1064          |
+| 1.114         | 9.0   | 3915 | 1.1303          |
+| 1.1058        | 10.0  | 4350 | 1.1214          |
+
+
+### Framework versions
+
+- Transformers 4.26.0
+- Pytorch 1.13.1+cu116
+- Datasets 2.9.0
+- Tokenizers 0.13.2