End of training

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: google-bert/bert-base-uncased
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: bert-finetuned-spam
+  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. -->
+
+# bert-finetuned-spam
+
+This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
+- Accuracy: 0.4740
+- F1: 0.0
+- Precision: 0.0
+- Recall: 0.0
+
+## 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: 2.984949946835231e-05
+- train_batch_size: 64
+- eval_batch_size: 8
+- seed: 16
+- 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 | F1  | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|:---------:|:------:|
+| 0.0           | 1.0   | 1044 | nan             | 0.4740   | 0.0 | 0.0       | 0.0    |
+| 0.0           | 2.0   | 2088 | nan             | 0.4740   | 0.0 | 0.0       | 0.0    |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

runs/May06_23-49-28_750b15f5c90d/events.out.tfevents.1715041032.750b15f5c90d.3660.8

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