End of training

README.md

@@ -0,0 +1,94 @@
+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+datasets:
+- ag_news
+metrics:
+- accuracy
+model-index:
+- name: N_distilbert_agnews_padding60model
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: ag_news
+      type: ag_news
+      config: default
+      split: test
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.945
+---
+
+<!-- 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. -->
+
+# N_distilbert_agnews_padding60model
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the ag_news dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6714
+- Accuracy: 0.945
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Accuracy |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 0.1829        | 1.0   | 7500   | 0.1828          | 0.9445   |
+| 0.1406        | 2.0   | 15000  | 0.1995          | 0.9436   |
+| 0.1229        | 3.0   | 22500  | 0.2025          | 0.9470   |
+| 0.0893        | 4.0   | 30000  | 0.2578          | 0.9464   |
+| 0.0547        | 5.0   | 37500  | 0.3250          | 0.9392   |
+| 0.0394        | 6.0   | 45000  | 0.3882          | 0.9391   |
+| 0.0368        | 7.0   | 52500  | 0.4054          | 0.9383   |
+| 0.0221        | 8.0   | 60000  | 0.4602          | 0.9396   |
+| 0.0179        | 9.0   | 67500  | 0.4535          | 0.9430   |
+| 0.015         | 10.0  | 75000  | 0.4745          | 0.9421   |
+| 0.0177        | 11.0  | 82500  | 0.5035          | 0.9439   |
+| 0.0147        | 12.0  | 90000  | 0.4848          | 0.9436   |
+| 0.0077        | 13.0  | 97500  | 0.5222          | 0.9447   |
+| 0.0039        | 14.0  | 105000 | 0.5591          | 0.9432   |
+| 0.0042        | 15.0  | 112500 | 0.5863          | 0.9433   |
+| 0.0017        | 16.0  | 120000 | 0.6075          | 0.9457   |
+| 0.003         | 17.0  | 127500 | 0.6207          | 0.9455   |
+| 0.0017        | 18.0  | 135000 | 0.6482          | 0.9454   |
+| 0.0004        | 19.0  | 142500 | 0.6646          | 0.9457   |
+| 0.0017        | 20.0  | 150000 | 0.6714          | 0.945    |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.13.3

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2f094edd8ac8abf6ec7c67df2bba0d5f068c157be163b1870322dee936edf554
+oid sha256:eab2e3f4033a8d4febd098589bcf37842aa0e53c920138807ef41fcb5322ec0e
 size 268045997