update model card README.md

README.md

@@ -0,0 +1,81 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- tweet_eval
+metrics:
+- accuracy
+- f1
+model-index:
+- name: distilbert-base-uncased-finetuned-tweet_hate
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: tweet_eval
+      type: tweet_eval
+      args: hate
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.77
+    - name: F1
+      type: f1
+      value: 0.7711956429754464
+---
+
+<!-- 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. -->
+
+# distilbert-base-uncased-finetuned-tweet_hate
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the tweet_eval dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6390
+- Accuracy: 0.77
+- F1: 0.7712
+
+## 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: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.5003        | 1.0   | 282  | 0.4716          | 0.76     | 0.7613 |
+| 0.3428        | 2.0   | 564  | 0.4767          | 0.771    | 0.7721 |
+| 0.2559        | 3.0   | 846  | 0.5256          | 0.778    | 0.7789 |
+| 0.1811        | 4.0   | 1128 | 0.5839          | 0.774    | 0.7748 |
+| 0.134         | 5.0   | 1410 | 0.6390          | 0.77     | 0.7712 |
+
+
+### Framework versions
+
+- Transformers 4.16.2
+- Pytorch 2.1.0+cu121
+- Datasets 1.16.1
+- Tokenizers 0.15.0