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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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- rouge |
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model-index: |
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- name: volk_assistant |
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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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# volk_assistant |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0610 |
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- Rouge1: 0.0 |
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- Rouge2: 0.0 |
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- Rougel: 0.0 |
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- Rougelsum: 0.0 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| |
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| No log | 1.0 | 4 | 0.2216 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 2.0 | 8 | 0.1434 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 3.0 | 12 | 0.1166 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 4.0 | 16 | 0.0772 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 5.0 | 20 | 0.0732 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 6.0 | 24 | 0.0673 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 7.0 | 28 | 0.0663 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 8.0 | 32 | 0.0621 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 9.0 | 36 | 0.0610 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 10.0 | 40 | 0.0651 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 11.0 | 44 | 0.0696 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 12.0 | 48 | 0.0708 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 13.0 | 52 | 0.0762 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 14.0 | 56 | 0.0817 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 15.0 | 60 | 0.0828 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 16.0 | 64 | 0.0812 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 17.0 | 68 | 0.0794 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 18.0 | 72 | 0.0781 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 19.0 | 76 | 0.0770 | 0.0 | 0.0 | 0.0 | 0.0 | |
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| No log | 20.0 | 80 | 0.0763 | 0.0 | 0.0 | 0.0 | 0.0 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.2 |
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