update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: disitlbert_finetunedmodel
+  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. -->
+
+# disitlbert_finetunedmodel
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4268
+
+## 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: 16
+- eval_batch_size: 16
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.5666        | 1.0   | 520  | 1.2041          |
+| 1.2334        | 2.0   | 1040 | 1.1728          |
+| 1.1474        | 3.0   | 1560 | 1.1650          |
+| 1.0639        | 4.0   | 2080 | 1.2005          |
+| 1.0005        | 5.0   | 2600 | 1.1893          |
+| 0.9307        | 6.0   | 3120 | 1.2277          |
+| 0.872         | 7.0   | 3640 | 1.3071          |
+| 0.8073        | 8.0   | 4160 | 1.2973          |
+| 0.7666        | 9.0   | 4680 | 1.3650          |
+| 0.7281        | 10.0  | 5200 | 1.4268          |
+
+
+### Framework versions
+
+- Transformers 4.30.0
+- Pytorch 2.2.1+cu121
+- Datasets 2.13.0
+- Tokenizers 0.13.3