Training Completed

README.md

@@ -0,0 +1,84 @@
+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+datasets:
+- clinc_oos
+metrics:
+- accuracy
+model-index:
+- name: distilbert-base-uncased-distilled-clinc
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: clinc_oos
+      type: clinc_oos
+      config: plus
+      split: validation
+      args: plus
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9409677419354838
+---
+
+<!-- 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. -->
+
+# distilbert-base-uncased-distilled-clinc
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the clinc_oos dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0998
+- Accuracy: 0.9410
+
+## 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: 2e-05
+- train_batch_size: 48
+- eval_batch_size: 48
+- seed: 42
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 318  | 0.5731          | 0.7297   |
+| 0.7599        | 2.0   | 636  | 0.2815          | 0.8839   |
+| 0.7599        | 3.0   | 954  | 0.1799          | 0.9197   |
+| 0.2776        | 4.0   | 1272 | 0.1389          | 0.9290   |
+| 0.1596        | 5.0   | 1590 | 0.1204          | 0.9377   |
+| 0.1596        | 6.0   | 1908 | 0.1108          | 0.9381   |
+| 0.125         | 7.0   | 2226 | 0.1056          | 0.94     |
+| 0.1103        | 8.0   | 2544 | 0.1025          | 0.94     |
+| 0.1103        | 9.0   | 2862 | 0.1006          | 0.9410   |
+| 0.1036        | 10.0  | 3180 | 0.0998          | 0.9410   |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.16.0
+- Tokenizers 0.15.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3c4fd90a1423ff8670b80a8a6af8916b8df36c2287b87d025ab664a74d6c2070
+oid sha256:fb668576e592d70b6e950af388871c5e550ed5428854f4243ac4787a3747ce55
 size 268290900