update model card README.md

README.md

@@ -0,0 +1,74 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- new_dataset
+metrics:
+- accuracy
+model-index:
+- name: sentiment-analysis-twitter
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: new_dataset
+      type: new_dataset
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.7965
+---
+
+<!-- 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. -->
+
+# sentiment-analysis-twitter
+
+This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on the new_dataset dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4579
+- Accuracy: 0.7965
+
+## 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: 64
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5315        | 1.0   | 157  | 0.4517          | 0.788    |
+| 0.388         | 2.0   | 314  | 0.4416          | 0.8      |
+| 0.3307        | 3.0   | 471  | 0.4579          | 0.7965   |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.11.0+cu102
+- Datasets 2.1.0
+- Tokenizers 0.12.1