update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: gbert-large
+  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. -->
+
+# gbert-large
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.1519
+
+## 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: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 2.7515        | 1.0   | 2481  | 2.5493          |
+| 2.5626        | 2.0   | 4962  | 2.4392          |
+| 2.4839        | 3.0   | 7443  | 2.3692          |
+| 2.4082        | 4.0   | 9924  | 2.3425          |
+| 2.3109        | 5.0   | 12405 | 2.2934          |
+| 2.2551        | 6.0   | 14886 | 2.2582          |
+| 2.2154        | 7.0   | 17367 | 2.2062          |
+| 2.2003        | 8.0   | 19848 | 2.1962          |
+| 2.1616        | 9.0   | 22329 | 2.1991          |
+| 2.1462        | 10.0  | 24810 | 2.1519          |
+
+
+### Framework versions
+
+- Transformers 4.19.4
+- Pytorch 1.11.0+cu113
+- Datasets 2.2.2
+- Tokenizers 0.12.1