End of training

README.md

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+---
+license: apache-2.0
+base_model: google/bert_uncased_L-6_H-768_A-12
+tags:
+- generated_from_trainer
+datasets:
+- emotion
+metrics:
+- accuracy
+model-index:
+- name: bert_uncased_L-6_H-768_A-12_emotion
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: emotion
+      type: emotion
+      config: split
+      split: validation
+      args: split
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.94
+---
+
+<!-- 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. -->
+
+# bert_uncased_L-6_H-768_A-12_emotion
+
+This model is a fine-tuned version of [google/bert_uncased_L-6_H-768_A-12](https://huggingface.co/google/bert_uncased_L-6_H-768_A-12) on the emotion dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1673
+- Accuracy: 0.94
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 33
+- distributed_type: multi-GPU
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5118        | 1.0   | 250  | 0.2120          | 0.922    |
+| 0.1628        | 2.0   | 500  | 0.1512          | 0.9365   |
+| 0.1115        | 3.0   | 750  | 0.1426          | 0.938    |
+| 0.0832        | 4.0   | 1000 | 0.1673          | 0.94     |
+| 0.0686        | 5.0   | 1250 | 0.1843          | 0.938    |
+| 0.0516        | 6.0   | 1500 | 0.1947          | 0.9355   |
+| 0.0374        | 7.0   | 1750 | 0.2280          | 0.934    |
+| 0.0266        | 8.0   | 2000 | 0.2413          | 0.94     |
+| 0.0183        | 9.0   | 2250 | 0.2577          | 0.9355   |
+| 0.014         | 10.0  | 2500 | 0.2728          | 0.9345   |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 1.14.0a0+410ce96
+- Datasets 2.14.5
+- Tokenizers 0.14.1

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