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_padding80model
+  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: 0.93712
+---
+
+<!-- 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_padding80model
+
+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: 0.6996
+- Accuracy: 0.9371
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.2198        | 1.0   | 1563  | 0.2296          | 0.9239   |
+| 0.1582        | 2.0   | 3126  | 0.2158          | 0.9298   |
+| 0.0896        | 3.0   | 4689  | 0.3067          | 0.9335   |
+| 0.0635        | 4.0   | 6252  | 0.3594          | 0.9304   |
+| 0.0344        | 5.0   | 7815  | 0.3923          | 0.9299   |
+| 0.0315        | 6.0   | 9378  | 0.4625          | 0.9343   |
+| 0.0196        | 7.0   | 10941 | 0.4629          | 0.9338   |
+| 0.0205        | 8.0   | 12504 | 0.5247          | 0.9252   |
+| 0.0161        | 9.0   | 14067 | 0.4549          | 0.9326   |
+| 0.0105        | 10.0  | 15630 | 0.4703          | 0.9323   |
+| 0.0049        | 11.0  | 17193 | 0.6050          | 0.9286   |
+| 0.0088        | 12.0  | 18756 | 0.5788          | 0.9353   |
+| 0.0043        | 13.0  | 20319 | 0.5495          | 0.9348   |
+| 0.0062        | 14.0  | 21882 | 0.6886          | 0.9307   |
+| 0.0019        | 15.0  | 23445 | 0.6479          | 0.9348   |
+| 0.0035        | 16.0  | 25008 | 0.6449          | 0.9360   |
+| 0.0008        | 17.0  | 26571 | 0.7024          | 0.9349   |
+| 0.0003        | 18.0  | 28134 | 0.7011          | 0.9370   |
+| 0.001         | 19.0  | 29697 | 0.6921          | 0.9372   |
+| 0.0           | 20.0  | 31260 | 0.6996          | 0.9371   |
+
+
+### 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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