update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: distilbert-base-uncased__hate_speech_offensive__train-16-8
+  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. -->
+
+# distilbert-base-uncased__hate_speech_offensive__train-16-8
+
+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: 1.0704
+- Accuracy: 0.394
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 50
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.1031        | 1.0   | 10   | 1.1286          | 0.1      |
+| 1.0648        | 2.0   | 20   | 1.1157          | 0.3      |
+| 0.9982        | 3.0   | 30   | 1.1412          | 0.2      |
+| 0.9283        | 4.0   | 40   | 1.2053          | 0.2      |
+| 0.7958        | 5.0   | 50   | 1.1466          | 0.2      |
+| 0.6668        | 6.0   | 60   | 1.1783          | 0.3      |
+| 0.5068        | 7.0   | 70   | 1.2992          | 0.3      |
+| 0.3741        | 8.0   | 80   | 1.3483          | 0.3      |
+| 0.1653        | 9.0   | 90   | 1.4533          | 0.2      |
+| 0.0946        | 10.0  | 100  | 1.6292          | 0.2      |
+| 0.0569        | 11.0  | 110  | 1.8381          | 0.2      |
+| 0.0346        | 12.0  | 120  | 2.0781          | 0.2      |
+
+
+### Framework versions
+
+- Transformers 4.15.0
+- Pytorch 1.10.2+cu102
+- Datasets 1.18.2
+- Tokenizers 0.10.3