Training Complete

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: distilbert/distilbert-base-uncased
+tags:
+- generated_from_trainer
+datasets:
+- hate_speech18
+metrics:
+- accuracy
+- f1
+model-index:
+- name: distilbert-base-uncased-finetuned_on_hata_dateset
+  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: 0.9243697478991597
+    - name: F1
+      type: f1
+      value: 0.9223806548670374
+---
+
+<!-- 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_on_hata_dateset
+
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the hate_speech18 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2221
+- Accuracy: 0.9244
+- F1: 0.9224
+
+## 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.2718        | 1.0   | 268  | 0.2050          | 0.9104   | 0.9070 |
+| 0.1697        | 2.0   | 536  | 0.2039          | 0.9188   | 0.9094 |
+| 0.1143        | 3.0   | 804  | 0.2221          | 0.9244   | 0.9224 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

runs/Sep05_08-23-46_aa72eb057920/events.out.tfevents.1725524632.aa72eb057920.2823.0

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