End of training

README.md

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+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+datasets:
+- imdb
+metrics:
+- accuracy
+model-index:
+- name: N_bert_imdb_padding30model
+  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: 0.93944
+---
+
+<!-- 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_bert_imdb_padding30model
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the imdb dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6907
+- Accuracy: 0.9394
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.2178        | 1.0   | 1563  | 0.2389          | 0.9234   |
+| 0.1617        | 2.0   | 3126  | 0.2474          | 0.9303   |
+| 0.0872        | 3.0   | 4689  | 0.3029          | 0.9283   |
+| 0.065         | 4.0   | 6252  | 0.3493          | 0.9316   |
+| 0.0348        | 5.0   | 7815  | 0.3685          | 0.9365   |
+| 0.0311        | 6.0   | 9378  | 0.4913          | 0.9310   |
+| 0.0205        | 7.0   | 10941 | 0.4485          | 0.9362   |
+| 0.0177        | 8.0   | 12504 | 0.4903          | 0.9354   |
+| 0.0147        | 9.0   | 14067 | 0.5786          | 0.9322   |
+| 0.0119        | 10.0  | 15630 | 0.5245          | 0.9356   |
+| 0.01          | 11.0  | 17193 | 0.5730          | 0.9364   |
+| 0.0091        | 12.0  | 18756 | 0.5730          | 0.9383   |
+| 0.006         | 13.0  | 20319 | 0.5596          | 0.9386   |
+| 0.004         | 14.0  | 21882 | 0.6760          | 0.9354   |
+| 0.0018        | 15.0  | 23445 | 0.5813          | 0.9402   |
+| 0.0018        | 16.0  | 25008 | 0.6526          | 0.9378   |
+| 0.0035        | 17.0  | 26571 | 0.6453          | 0.9384   |
+| 0.0002        | 18.0  | 28134 | 0.6714          | 0.9392   |
+| 0.0001        | 19.0  | 29697 | 0.6893          | 0.9397   |
+| 0.0           | 20.0  | 31260 | 0.6907          | 0.9394   |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.13.3

pytorch_model.bin

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