End of training

README.md

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+---
+license: apache-2.0
+base_model: albert/albert-base-v1
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- accuracy
+model-index:
+- name: toxigen-albert-binary-clsf
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/octoopt/huggingface/runs/39ugf5uc)
+# toxigen-albert-binary-clsf
+
+This model is a fine-tuned version of [albert/albert-base-v1](https://huggingface.co/albert/albert-base-v1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0000
+- Precision: 1.0000
+- Recall: 1.0000
+- Accuracy: 1.0000
+
+## 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: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|
+| 0.0           | 1.0   | 3137 | 0.0000          | 1.0000    | 1.0000 | 1.0000   |
+| 0.0001        | 2.0   | 6274 | 0.0000          | 1.0000    | 1.0000 | 1.0000   |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1