update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert-distilled-twitter-sent140_dataset_hp_optimized_final
+  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-distilled-twitter-sent140_dataset_hp_optimized_final
+
+This model is a fine-tuned version of [ArafatBHossain/distilbert-base-uncased_fine_tuned_sent140](https://huggingface.co/ArafatBHossain/distilbert-base-uncased_fine_tuned_sent140) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7526
+- Accuracy: 0.7701
+
+## 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: 1.0252171333853176e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5666        | 1.0   | 408  | 0.7110          | 0.7647   |
+| 0.501         | 2.0   | 816  | 0.7382          | 0.7567   |
+| 0.5199        | 3.0   | 1224 | 0.7562          | 0.7674   |
+| 0.4972        | 4.0   | 1632 | 0.7502          | 0.7647   |
+| 0.4498        | 5.0   | 2040 | 0.7526          | 0.7701   |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.11.0
+- Datasets 2.7.1
+- Tokenizers 0.12.1