End of training

README.md

@@ -0,0 +1,94 @@
+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+datasets:
+- imdb
+metrics:
+- accuracy
+model-index:
+- name: N_bert_imdb_padding60model
+  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: 0.9378
+---
+
+<!-- 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_padding60model
+
+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: 0.7025
+- Accuracy: 0.9378
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.2209        | 1.0   | 1563  | 0.2386          | 0.92     |
+| 0.1627        | 2.0   | 3126  | 0.2066          | 0.9349   |
+| 0.0902        | 3.0   | 4689  | 0.3334          | 0.9260   |
+| 0.0574        | 4.0   | 6252  | 0.3642          | 0.9349   |
+| 0.0448        | 5.0   | 7815  | 0.3988          | 0.9351   |
+| 0.0386        | 6.0   | 9378  | 0.4496          | 0.9329   |
+| 0.014         | 7.0   | 10941 | 0.4423          | 0.9358   |
+| 0.0191        | 8.0   | 12504 | 0.4193          | 0.9356   |
+| 0.0183        | 9.0   | 14067 | 0.5018          | 0.9337   |
+| 0.0111        | 10.0  | 15630 | 0.5163          | 0.9338   |
+| 0.0125        | 11.0  | 17193 | 0.5138          | 0.9360   |
+| 0.0067        | 12.0  | 18756 | 0.5259          | 0.9360   |
+| 0.006         | 13.0  | 20319 | 0.6622          | 0.9314   |
+| 0.0042        | 14.0  | 21882 | 0.6154          | 0.9348   |
+| 0.004         | 15.0  | 23445 | 0.6094          | 0.9345   |
+| 0.0031        | 16.0  | 25008 | 0.6450          | 0.9356   |
+| 0.0013        | 17.0  | 26571 | 0.6317          | 0.9384   |
+| 0.0014        | 18.0  | 28134 | 0.6713          | 0.9386   |
+| 0.0           | 19.0  | 29697 | 0.6938          | 0.9383   |
+| 0.0006        | 20.0  | 31260 | 0.7025          | 0.9378   |
+
+
+### 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:e0000a6da0487270318df66bd502552e54650ab6cad9df56a7156359e0f42b46
+oid sha256:3afa5a82cfe07b8a606033b61baf31f59e3b1c36624f929c3bc1dcab0c521136
 size 438187825