End of training

README.md

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+---
+license: apache-2.0
+base_model: google/bert_uncased_L-2_H-128_A-2
+tags:
+- generated_from_trainer
+datasets:
+- hate_speech18
+metrics:
+- accuracy
+model-index:
+- name: berttiny-hate_speech18-nonpretrained
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: hate_speech18
+      type: hate_speech18
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8642595978062158
+---
+
+<!-- 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. -->
+
+# berttiny-hate_speech18-nonpretrained
+
+This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the hate_speech18 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4631
+- Accuracy: 0.8643
+
+## 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: 6e-05
+- train_batch_size: 128
+- eval_batch_size: 128
+- seed: 33
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5429        | 1.0   | 60   | 0.4818          | 0.8556   |
+| 0.4701        | 2.0   | 120  | 0.4711          | 0.8556   |
+| 0.4623        | 3.0   | 180  | 0.4687          | 0.8583   |
+| 0.4571        | 4.0   | 240  | 0.4645          | 0.8615   |
+| 0.4532        | 5.0   | 300  | 0.4639          | 0.8638   |
+| 0.4501        | 6.0   | 360  | 0.4656          | 0.8620   |
+| 0.4494        | 7.0   | 420  | 0.4631          | 0.8643   |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.1
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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