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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-kjv |
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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-kjv |
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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: 1.5821 |
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- Bleu: 5.0891 |
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- Gen Len: 18.8633 |
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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 | 1.6077 | 3.732 | 18.8506 | |
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| 2.1314 | 2.0 | 840 | 1.4572 | 4.2893 | 18.8557 | |
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| 1.5079 | 3.0 | 1260 | 1.3978 | 4.6504 | 18.8599 | |
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| 1.2945 | 4.0 | 1680 | 1.3788 | 4.8595 | 18.8641 | |
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| 1.1387 | 5.0 | 2100 | 1.3841 | 4.907 | 18.8819 | |
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| 1.0142 | 6.0 | 2520 | 1.3776 | 5.0933 | 18.8743 | |
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| 1.0142 | 7.0 | 2940 | 1.3912 | 5.1246 | 18.8726 | |
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| 0.9024 | 8.0 | 3360 | 1.4158 | 5.1468 | 18.8692 | |
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| 0.8227 | 9.0 | 3780 | 1.4403 | 5.1846 | 18.865 | |
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| 0.749 | 10.0 | 4200 | 1.4685 | 5.0892 | 18.8844 | |
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| 0.7012 | 11.0 | 4620 | 1.4997 | 5.1485 | 18.8852 | |
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| 0.6446 | 12.0 | 5040 | 1.5162 | 5.2782 | 18.8776 | |
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| 0.6446 | 13.0 | 5460 | 1.5465 | 5.0961 | 18.8743 | |
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| 0.6063 | 14.0 | 5880 | 1.5588 | 5.0723 | 18.8768 | |
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| 0.5801 | 15.0 | 6300 | 1.5821 | 5.0891 | 18.8633 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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