End of training

README.md

@@ -0,0 +1,89 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- massive
+metrics:
+- accuracy
+model-index:
+- name: bert-uncased-massive-intent-classification
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: massive
+      type: massive
+      config: en-US
+      split: train
+      args: en-US
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8853910477127398
+---
+
+<!-- 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-massive-intent-classification
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the massive dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8396
+- Accuracy: 0.8854
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 33
+- 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 1.4984        | 1.0   | 720   | 0.6402          | 0.8495   |
+| 0.4376        | 2.0   | 1440  | 0.5394          | 0.8731   |
+| 0.2318        | 3.0   | 2160  | 0.5903          | 0.8760   |
+| 0.1414        | 4.0   | 2880  | 0.6221          | 0.8805   |
+| 0.087         | 5.0   | 3600  | 0.7072          | 0.8819   |
+| 0.0622        | 6.0   | 4320  | 0.7121          | 0.8819   |
+| 0.036         | 7.0   | 5040  | 0.7750          | 0.8805   |
+| 0.0234        | 8.0   | 5760  | 0.7767          | 0.8834   |
+| 0.0157        | 9.0   | 6480  | 0.8243          | 0.8805   |
+| 0.0122        | 10.0  | 7200  | 0.8198          | 0.8839   |
+| 0.0092        | 11.0  | 7920  | 0.8105          | 0.8849   |
+| 0.0047        | 12.0  | 8640  | 0.8561          | 0.8844   |
+| 0.0038        | 13.0  | 9360  | 0.8367          | 0.8815   |
+| 0.0029        | 14.0  | 10080 | 0.8396          | 0.8854   |
+| 0.0014        | 15.0  | 10800 | 0.8410          | 0.8849   |
+
+
+### Framework versions
+
+- Transformers 4.22.1
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1

logs/events.out.tfevents.1663588840.8119b58bec00.70.8

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3510c7504e633cc9f19a4abc7cc29c5787f15240a1efd5f5a9413e7faa5ae97e
-size 6787
+oid sha256:51046e5e4019dd6b3f9a5eeb416f42ef6135ab8630923872d83cc8c21612a361
+size 13861

logs/events.out.tfevents.1663590203.8119b58bec00.70.10

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:33e1a54d284f0d484247ef5939004d3c82a972f6b5e36c66e1167f8c0486b0c3
+size 363

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8da292b21ccfddd2f16229ddf73b964c3092cebd19283867d594eb17d3b436a9
+oid sha256:e9a407347152220e1ca329dd3070389e16c736198493211b01be4e56c88b304f
 size 438184493