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--- |
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license: apache-2.0 |
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base_model: google/flan-t5-large |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: Flan_t5 |
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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 |
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This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: nan |
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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: 2 |
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- eval_batch_size: 2 |
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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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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 126 | nan | |
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| No log | 2.0 | 252 | nan | |
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| No log | 3.0 | 378 | nan | |
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| 0.0 | 4.0 | 504 | nan | |
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| 0.0 | 5.0 | 630 | nan | |
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| 0.0 | 6.0 | 756 | nan | |
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| 0.0 | 7.0 | 882 | nan | |
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| 0.0 | 8.0 | 1008 | nan | |
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| 0.0 | 9.0 | 1134 | nan | |
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| 0.0 | 10.0 | 1260 | nan | |
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| 0.0 | 11.0 | 1386 | nan | |
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| 0.0 | 12.0 | 1512 | nan | |
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| 0.0 | 13.0 | 1638 | nan | |
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| 0.0 | 14.0 | 1764 | nan | |
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| 0.0 | 15.0 | 1890 | nan | |
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| 0.0 | 16.0 | 2016 | nan | |
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| 0.0 | 17.0 | 2142 | nan | |
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| 0.0 | 18.0 | 2268 | nan | |
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| 0.0 | 19.0 | 2394 | nan | |
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| 0.0 | 20.0 | 2520 | nan | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0+cu118 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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