End of training

README.md

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+---
+base_model: gokuls/bert_12_layer_model_v3_complete_training_48
+tags:
+- generated_from_trainer
+datasets:
+- emotion
+metrics:
+- accuracy
+model-index:
+- name: bert_12_layer_model_v3_48_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: 0.899
+---
+
+<!-- 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_12_layer_model_v3_48_emotion
+
+This model is a fine-tuned version of [gokuls/bert_12_layer_model_v3_complete_training_48](https://huggingface.co/gokuls/bert_12_layer_model_v3_complete_training_48) on the emotion dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4023
+- Accuracy: 0.899
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.9112        | 1.0   | 250  | 0.5176          | 0.8495   |
+| 0.389         | 2.0   | 500  | 0.3617          | 0.8755   |
+| 0.2894        | 3.0   | 750  | 0.3037          | 0.8905   |
+| 0.2359        | 4.0   | 1000 | 0.3346          | 0.895    |
+| 0.1883        | 5.0   | 1250 | 0.3178          | 0.8955   |
+| 0.1638        | 6.0   | 1500 | 0.3597          | 0.897    |
+| 0.1217        | 7.0   | 1750 | 0.4075          | 0.8895   |
+| 0.0962        | 8.0   | 2000 | 0.4023          | 0.899    |
+| 0.0732        | 9.0   | 2250 | 0.4479          | 0.8955   |
+| 0.0569        | 10.0  | 2500 | 0.4894          | 0.8985   |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 1.14.0a0+410ce96
+- Datasets 2.14.5
+- Tokenizers 0.14.1

pytorch_model.bin

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