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_padding100model
+  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: 0.92944
+---
+
+<!-- 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_padding100model
+
+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: 0.7393
+- Accuracy: 0.9294
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.2387        | 1.0   | 1563  | 0.2354          | 0.919    |
+| 0.1866        | 2.0   | 3126  | 0.2345          | 0.9248   |
+| 0.1194        | 3.0   | 4689  | 0.3117          | 0.9212   |
+| 0.0615        | 4.0   | 6252  | 0.3370          | 0.9219   |
+| 0.0475        | 5.0   | 7815  | 0.5367          | 0.9131   |
+| 0.0394        | 6.0   | 9378  | 0.5018          | 0.9236   |
+| 0.0281        | 7.0   | 10941 | 0.5039          | 0.9243   |
+| 0.0262        | 8.0   | 12504 | 0.5149          | 0.9238   |
+| 0.0203        | 9.0   | 14067 | 0.5159          | 0.9275   |
+| 0.0194        | 10.0  | 15630 | 0.5855          | 0.927    |
+| 0.0092        | 11.0  | 17193 | 0.6452          | 0.9259   |
+| 0.0097        | 12.0  | 18756 | 0.6318          | 0.9262   |
+| 0.0024        | 13.0  | 20319 | 0.6537          | 0.9292   |
+| 0.0056        | 14.0  | 21882 | 0.7551          | 0.9268   |
+| 0.0037        | 15.0  | 23445 | 0.7516          | 0.9255   |
+| 0.0073        | 16.0  | 25008 | 0.7335          | 0.9281   |
+| 0.0025        | 17.0  | 26571 | 0.6959          | 0.9301   |
+| 0.0008        | 18.0  | 28134 | 0.7439          | 0.9276   |
+| 0.0005        | 19.0  | 29697 | 0.7300          | 0.9296   |
+| 0.0004        | 20.0  | 31260 | 0.7393          | 0.9294   |
+
+
+### 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 sha256:8667e956b2019824c1d26c43cfb8bd00497d0ec44e6b79b69236f1715878909a
+oid sha256:20bd5d0fd539d3519426ea8b58846469062228b185bbfaac7b8760f9c63fda96
 size 268162733