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--- |
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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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- bleu |
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model-index: |
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- name: flan-t5-base-eng-hwp |
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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-base-eng-hwp |
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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: 1.6073 |
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- Bleu: 4.9074 |
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- Gen Len: 18.8338 |
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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: 0.0003 |
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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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| |
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| No log | 1.0 | 420 | 1.6234 | 3.464 | 18.8 | |
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| 2.1287 | 2.0 | 840 | 1.4706 | 4.1392 | 18.8084 | |
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| 1.5094 | 3.0 | 1260 | 1.4294 | 4.3477 | 18.7924 | |
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| 1.2917 | 4.0 | 1680 | 1.4015 | 4.5189 | 18.8068 | |
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| 1.1347 | 5.0 | 2100 | 1.3900 | 4.697 | 18.8236 | |
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| 1.012 | 6.0 | 2520 | 1.4038 | 4.7522 | 18.8051 | |
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| 1.012 | 7.0 | 2940 | 1.4086 | 4.8399 | 18.8177 | |
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| 0.901 | 8.0 | 3360 | 1.4453 | 4.8191 | 18.8253 | |
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| 0.818 | 9.0 | 3780 | 1.4678 | 4.8245 | 18.8203 | |
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| 0.7511 | 10.0 | 4200 | 1.4922 | 4.951 | 18.8574 | |
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| 0.693 | 11.0 | 4620 | 1.5186 | 4.9174 | 18.8363 | |
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| 0.6462 | 12.0 | 5040 | 1.5487 | 5.0009 | 18.8338 | |
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| 0.6462 | 13.0 | 5460 | 1.5651 | 5.021 | 18.8295 | |
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| 0.6062 | 14.0 | 5880 | 1.5942 | 4.8801 | 18.8245 | |
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| 0.5781 | 15.0 | 6300 | 1.6073 | 4.9074 | 18.8338 | |
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### Framework versions |
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- Transformers 4.34.1 |
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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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