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_padding50model
+  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: 0.93852
+---
+
+<!-- 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_padding50model
+
+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: 0.7352
+- Accuracy: 0.9385
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.2185        | 1.0   | 1563  | 0.2445          | 0.9211   |
+| 0.1562        | 2.0   | 3126  | 0.1966          | 0.9369   |
+| 0.0924        | 3.0   | 4689  | 0.3358          | 0.9287   |
+| 0.0576        | 4.0   | 6252  | 0.3586          | 0.9308   |
+| 0.0493        | 5.0   | 7815  | 0.3533          | 0.9346   |
+| 0.0362        | 6.0   | 9378  | 0.4772          | 0.9287   |
+| 0.019         | 7.0   | 10941 | 0.4636          | 0.9328   |
+| 0.0282        | 8.0   | 12504 | 0.4084          | 0.9350   |
+| 0.0155        | 9.0   | 14067 | 0.4659          | 0.9302   |
+| 0.0119        | 10.0  | 15630 | 0.5622          | 0.9342   |
+| 0.0074        | 11.0  | 17193 | 0.5651          | 0.9338   |
+| 0.0047        | 12.0  | 18756 | 0.5859          | 0.9348   |
+| 0.006         | 13.0  | 20319 | 0.6266          | 0.9342   |
+| 0.0067        | 14.0  | 21882 | 0.6573          | 0.9308   |
+| 0.0044        | 15.0  | 23445 | 0.6579          | 0.9370   |
+| 0.0           | 16.0  | 25008 | 0.6971          | 0.9386   |
+| 0.0011        | 17.0  | 26571 | 0.7194          | 0.9377   |
+| 0.0           | 18.0  | 28134 | 0.7164          | 0.9392   |
+| 0.0           | 19.0  | 29697 | 0.7198          | 0.9391   |
+| 0.0           | 20.0  | 31260 | 0.7352          | 0.9385   |
+
+
+### 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 sha256:7074ffecb946c1dc41f056c563845333eaeaa33d233870baa4027f454612ab97
+oid sha256:efac70c6e0a4e5391e82377f89b95a1312c90c91046fcc6dff9e07d44abdd497
 size 438157105