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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: google/flan-t5-base |
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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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model-index: |
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- name: FLANT5_base |
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results: [] |
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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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# FLANT5_base |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1150 |
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- Bleu Score: 24.3919 |
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- Precision: 5.3763 |
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- Recall: 5.3763 |
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- Gen Len: 18.8088 |
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- Err: 5.3763 |
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## Model description |
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More information needed |
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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: 0.0001 |
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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 | Bleu Score | Precision | Recall | Gen Len | Err | |
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|:-------------:|:-----:|:----:|:---------------:|:----------:|:---------:|:------:|:-------:|:------:| |
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| 0.2345 | 1.0 | 419 | 0.1435 | 23.524 | 3.9427 | 3.9427 | 18.8112 | 3.9427 | |
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| 0.1464 | 2.0 | 838 | 0.1197 | 24.2187 | 5.4958 | 5.4958 | 18.8053 | 5.4958 | |
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| 0.1238 | 3.0 | 1257 | 0.1150 | 24.3919 | 5.3763 | 5.3763 | 18.8088 | 5.3763 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.0.1 |
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- Tokenizers 0.19.1 |
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