End of training

README.md

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+---
+license: apache-2.0
+base_model: google/flan-t5-small
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: custom-flan-t5-small-hallucination-classification
+  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. -->
+
+# custom-flan-t5-small-hallucination-classification
+
+This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6767
+- Precision: 0.7253
+- Recall: 0.7289
+- F1: 0.7248
+- Accuracy: 0.7289
+
+## 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: 0.0003
+- 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 | Precision | Recall | F1     | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.8953        | 0.4016 | 100  | 0.8406          | 0.6192    | 0.5994 | 0.5096 | 0.5994   |
+| 0.7764        | 0.8032 | 200  | 0.7486          | 0.7113    | 0.7088 | 0.6951 | 0.7088   |
+| 0.7031        | 1.2048 | 300  | 0.7159          | 0.7358    | 0.7309 | 0.7201 | 0.7309   |
+| 0.6345        | 1.6064 | 400  | 0.6767          | 0.7253    | 0.7289 | 0.7248 | 0.7289   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1