End of training

README.md

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+---
+license: apache-2.0
+base_model: augmdc/bigbird_race_1
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bigbird_mental2019_1
+  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. -->
+
+# bigbird_mental2019_1
+
+This model is a fine-tuned version of [augmdc/bigbird_race_1](https://huggingface.co/augmdc/bigbird_race_1) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1074
+- Accuracy: 0.4983
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- 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 | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.3804        | 1.0   | 929  | 1.2248          | 0.4474   |
+| 1.1988        | 2.0   | 1858 | 1.1074          | 0.4983   |
+
+
+### Framework versions
+
+- Transformers 4.33.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3