End of training

README.md

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+---
+license: apache-2.0
+base_model: bert-large-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert-large-cased-massive_intent
+  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. -->
+
+# bert-large-cased-massive_intent
+
+This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6377
+- Accuracy: 0.8942
+
+## 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-06
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 2.6229        | 1.0   | 1440  | 1.1695          | 0.7718   |
+| 0.9067        | 2.0   | 2880  | 0.6360          | 0.8603   |
+| 0.4804        | 3.0   | 4320  | 0.5548          | 0.8746   |
+| 0.3044        | 4.0   | 5760  | 0.5343          | 0.8913   |
+| 0.2077        | 5.0   | 7200  | 0.6043          | 0.8913   |
+| 0.1442        | 6.0   | 8640  | 0.6377          | 0.8942   |
+| 0.1096        | 7.0   | 10080 | 0.6919          | 0.8888   |
+| 0.0796        | 8.0   | 11520 | 0.7272          | 0.8908   |
+| 0.0622        | 9.0   | 12960 | 0.7530          | 0.8918   |
+
+
+### Framework versions
+
+- Transformers 4.37.1
+- Pytorch 2.2.0
+- Datasets 2.16.1
+- Tokenizers 0.15.1

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