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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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model-index: |
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- name: flan-t5-small-comma-correction |
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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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# flan-t5-small-comma-correction |
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0662 |
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- Gen Len: 39.2167 |
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- Em Ic: 0.934 |
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- Em: 0.5759 |
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- Precision: 0.9177 |
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- Recall: 0.7736 |
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- F1: 0.7575 |
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- Levinstein Ratio: 0.9954 |
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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: 2e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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: cosine |
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- lr_scheduler_warmup_steps: 200 |
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- num_epochs: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Gen Len | Em Ic | Em | Precision | Recall | F1 | Levinstein Ratio | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:------:|:------:|:----------------:| |
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| 0.0694 | 1.0 | 2159 | 0.0696 | 39.1396 | 0.9299 | 0.5543 | 0.9178 | 0.7509 | 0.7366 | 0.9951 | |
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| 0.0558 | 2.0 | 4318 | 0.0670 | 39.1904 | 0.9334 | 0.5736 | 0.9195 | 0.7678 | 0.7537 | 0.9954 | |
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| 0.0542 | 3.0 | 6477 | 0.0662 | 39.2167 | 0.934 | 0.5759 | 0.9177 | 0.7736 | 0.7575 | 0.9954 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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