update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- generator
+model-index:
+- name: bert-concat-3
+  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-concat-3
+
+This model is a fine-tuned version of [](https://huggingface.co/) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.8509
+
+## 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: 0.0005
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 6.5215        | 2.11  | 1000 | 6.1057          |
+| 5.9958        | 4.22  | 2000 | 6.0199          |
+| 5.9066        | 6.33  | 3000 | 5.9833          |
+| 5.8449        | 8.44  | 4000 | 5.9594          |
+| 5.7913        | 10.55 | 5000 | 5.9176          |
+| 5.7418        | 12.66 | 6000 | 5.8949          |
+| 5.6901        | 14.77 | 7000 | 5.8753          |
+| 5.6485        | 16.88 | 8000 | 5.8592          |
+| 5.6238        | 18.99 | 9000 | 5.8509          |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.11.0+cu113
+- Datasets 2.13.0
+- Tokenizers 0.13.3