End of training

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- massive
+metrics:
+- accuracy
+model-index:
+- name: bert-base-Massive-intent_24
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: massive
+      type: massive
+      config: en-US
+      split: validation
+      args: en-US
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8558780127889818
+---
+
+<!-- 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-base-Massive-intent_24
+
+This model is a fine-tuned version of [gokuls/bert_base_24](https://huggingface.co/gokuls/bert_base_24) on the massive dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8019
+- Accuracy: 0.8559
+
+## 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: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.6309        | 1.0   | 180  | 0.9071          | 0.7727   |
+| 0.7005        | 2.0   | 360  | 0.6913          | 0.8185   |
+| 0.4328        | 3.0   | 540  | 0.6321          | 0.8455   |
+| 0.2875        | 4.0   | 720  | 0.6583          | 0.8333   |
+| 0.2036        | 5.0   | 900  | 0.6765          | 0.8426   |
+| 0.1437        | 6.0   | 1080 | 0.7043          | 0.8446   |
+| 0.1088        | 7.0   | 1260 | 0.7193          | 0.8510   |
+| 0.0812        | 8.0   | 1440 | 0.7489          | 0.8426   |
+| 0.0622        | 9.0   | 1620 | 0.7450          | 0.8495   |
+| 0.0453        | 10.0  | 1800 | 0.7722          | 0.8500   |
+| 0.0346        | 11.0  | 1980 | 0.7849          | 0.8470   |
+| 0.0227        | 12.0  | 2160 | 0.8088          | 0.8515   |
+| 0.0166        | 13.0  | 2340 | 0.8019          | 0.8559   |
+| 0.0114        | 14.0  | 2520 | 0.7968          | 0.8549   |
+| 0.0078        | 15.0  | 2700 | 0.7949          | 0.8549   |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 1.14.0a0+410ce96
+- Datasets 2.13.0
+- Tokenizers 0.13.3

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