End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: prajjwal1/bert-mini
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: my_mind_classifier_BertMini
+  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_mind_classifier_BertMini
+
+This model is a fine-tuned version of [prajjwal1/bert-mini](https://huggingface.co/prajjwal1/bert-mini) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4530
+- Accuracy: 0.8620
+- Precision: 0.8578
+- Recall: 0.8620
+- F1: 0.8599
+
+## 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: 64
+- eval_batch_size: 64
+- 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     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.6179        | 1.0   | 9024  | 0.5588          | 0.8303   | 0.8272    | 0.8303 | 0.8288 |
+| 0.4973        | 2.0   | 18048 | 0.4530          | 0.8620   | 0.8578    | 0.8620 | 0.8599 |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

runs/Dec02_06-04-11_4629d11f3432/events.out.tfevents.1733120734.4629d11f3432.23.1

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