End of training

README.md

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+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: my_awesome_model
+  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. -->
+
+# my_awesome_model
+
+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: 1.4723
+- Accuracy: {'accuracy': 0.5292066259808196}
+- Precision: {'precision': 0.5270248196529665}
+- Recall: {'recall': 0.5128581630410899}
+- F1: {'f1': 0.4836938691814141}
+
+## 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: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy                         | Precision                         | Recall                          | F1                          |
+|:-------------:|:-----:|:----:|:---------------:|:--------------------------------:|:---------------------------------:|:-------------------------------:|:---------------------------:|
+| 2.3362        | 1.0   | 1390 | 1.8634          | {'accuracy': 0.4119442022667829} | {'precision': 0.3707812573639524} | {'recall': 0.39448170731707316} | {'f1': 0.33817627082664936} |
+| 1.5346        | 2.0   | 2780 | 1.4723          | {'accuracy': 0.5292066259808196} | {'precision': 0.5270248196529665} | {'recall': 0.5128581630410899}  | {'f1': 0.4836938691814141}  |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.1.2
+- Datasets 2.2.1
+- Tokenizers 0.19.1

runs/Jun02_16-56-08_2a4a54a04e74/events.out.tfevents.1717349285.2a4a54a04e74.34.3

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