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--- |
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library_name: transformers |
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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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model-index: |
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- name: flan-t5-small-gigatrue-AI |
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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-gigatrue-AI |
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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: 2.2957 |
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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: 256 |
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- eval_batch_size: 256 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:-----:|:---------------:| |
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| 2.7717 | 0.2030 | 3000 | 2.3464 | |
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| 2.6786 | 0.4059 | 6000 | 2.3242 | |
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| 2.6556 | 0.6089 | 9000 | 2.3117 | |
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| 2.6474 | 0.8119 | 12000 | 2.3046 | |
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| 2.6412 | 1.0148 | 15000 | 2.3025 | |
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| 2.6352 | 1.2178 | 18000 | 2.2994 | |
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| 2.6334 | 1.4207 | 21000 | 2.2974 | |
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| 2.6313 | 1.6237 | 24000 | 2.2974 | |
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| 2.629 | 1.8267 | 27000 | 2.2972 | |
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| 2.6292 | 2.0296 | 30000 | 2.2963 | |
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| 2.6262 | 2.2326 | 33000 | 2.2963 | |
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| 2.6296 | 2.4356 | 36000 | 2.2964 | |
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| 2.63 | 2.6385 | 39000 | 2.2954 | |
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| 2.6285 | 2.8415 | 42000 | 2.2957 | |
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### Framework versions |
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- Transformers 4.45.2 |
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- Pytorch 2.5.1 |
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- Datasets 3.2.0 |
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- Tokenizers 0.20.3 |
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