End of training

README.md

@@ -0,0 +1,94 @@
+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+datasets:
+- imdb
+metrics:
+- accuracy
+model-index:
+- name: N_distilbert_imdb_padding40model
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: imdb
+      type: imdb
+      config: plain_text
+      split: test
+      args: plain_text
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.93052
+---
+
+<!-- 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_imdb_padding40model
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the imdb dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7640
+- Accuracy: 0.9305
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.2367        | 1.0   | 1563  | 0.3081          | 0.8873   |
+| 0.18          | 2.0   | 3126  | 0.2079          | 0.9299   |
+| 0.1146        | 3.0   | 4689  | 0.3326          | 0.9227   |
+| 0.0688        | 4.0   | 6252  | 0.3477          | 0.9238   |
+| 0.0389        | 5.0   | 7815  | 0.4432          | 0.9256   |
+| 0.0338        | 6.0   | 9378  | 0.4389          | 0.9252   |
+| 0.0269        | 7.0   | 10941 | 0.4876          | 0.9254   |
+| 0.0146        | 8.0   | 12504 | 0.5673          | 0.9272   |
+| 0.0178        | 9.0   | 14067 | 0.5712          | 0.9249   |
+| 0.0108        | 10.0  | 15630 | 0.5723          | 0.9303   |
+| 0.0137        | 11.0  | 17193 | 0.5582          | 0.9289   |
+| 0.0104        | 12.0  | 18756 | 0.6285          | 0.9303   |
+| 0.0071        | 13.0  | 20319 | 0.6775          | 0.9296   |
+| 0.0057        | 14.0  | 21882 | 0.7206          | 0.9262   |
+| 0.0067        | 15.0  | 23445 | 0.7085          | 0.929    |
+| 0.0055        | 16.0  | 25008 | 0.7183          | 0.9296   |
+| 0.0027        | 17.0  | 26571 | 0.7296          | 0.9299   |
+| 0.0005        | 18.0  | 28134 | 0.7465          | 0.9313   |
+| 0.0004        | 19.0  | 29697 | 0.7610          | 0.9309   |
+| 0.0           | 20.0  | 31260 | 0.7640          | 0.9305   |
+
+
+### 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 sha256:91c223ea0aae5eefde1f4c767bd6185c9b6613b141e8eb1353b9421621021155
+oid sha256:0ff761f5bca0ae3f0cfd71444420d860de41fdd9573548f8e04fa63bb5848590
 size 267978413