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--- |
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license: apache-2.0 |
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base_model: google/flan-t5-small |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: custom-flan-t5-small-hallucination-classification |
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results: [] |
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pipeline_tag: text-classification |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# custom-flan-t5-small-hallucination-classification |
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6832 |
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- Precision: 0.7473 |
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- Recall: 0.7470 |
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- F1: 0.7393 |
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- Accuracy: 0.7470 |
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## Model description |
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Classification head of T5 changed. Layer normalization and GELU added. |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0003 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| 0.9007 | 0.4016 | 100 | 0.8154 | 0.6926 | 0.6596 | 0.6202 | 0.6596 | |
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| 0.7915 | 0.8032 | 200 | 0.7602 | 0.7181 | 0.6867 | 0.6585 | 0.6867 | |
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| 0.7089 | 1.2048 | 300 | 0.6769 | 0.7323 | 0.7329 | 0.7250 | 0.7329 | |
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| 0.6381 | 1.6064 | 400 | 0.6954 | 0.7338 | 0.7329 | 0.7240 | 0.7329 | |
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| 0.6528 | 2.0080 | 500 | 0.6510 | 0.7423 | 0.7410 | 0.7318 | 0.7410 | |
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| 0.5652 | 2.4096 | 600 | 0.6856 | 0.7340 | 0.7339 | 0.7303 | 0.7339 | |
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| 0.5446 | 2.8112 | 700 | 0.6832 | 0.7473 | 0.7470 | 0.7393 | 0.7470 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
