End of training

README.md

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+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: finetuned_bert-base
+  results: []
+---
+
+<!-- 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. -->
+
+# finetuned_bert-base
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2046
+- Accuracy: 0.52
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.413         | 1.0   | 75   | 1.3023          | 0.4667   |
+| 1.2772        | 2.0   | 150  | 1.2043          | 0.52     |
+| 1.2019        | 3.0   | 225  | 1.0879          | 0.5733   |
+| 1.1463        | 4.0   | 300  | 1.1124          | 0.57     |
+| 1.1566        | 5.0   | 375  | 1.1220          | 0.5367   |
+| 1.1096        | 6.0   | 450  | 1.0675          | 0.5967   |
+| 0.9806        | 7.0   | 525  | 1.0315          | 0.64     |
+| 0.8715        | 8.0   | 600  | 1.0616          | 0.6      |
+| 0.8788        | 9.0   | 675  | 1.1211          | 0.59     |
+| 0.8071        | 10.0  | 750  | 1.1400          | 0.6      |
+| 0.6908        | 11.0  | 825  | 1.1848          | 0.6033   |
+| 0.6244        | 12.0  | 900  | 1.2255          | 0.59     |
+| 0.628         | 13.0  | 975  | 1.2264          | 0.6      |
+| 0.6003        | 14.0  | 1050 | 1.2270          | 0.6033   |
+| 0.5283        | 15.0  | 1125 | 1.2399          | 0.5933   |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

pytorch_model.bin

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