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--- |
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library_name: transformers |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: wikipedia_13 |
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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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# wikipedia_13 |
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.9275 |
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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: 0.0001 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 13 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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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- lr_scheduler_warmup_steps: 40000 |
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- training_steps: 100000 |
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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 | 1.4657 | 2000 | 8.0872 | |
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| 8.1326 | 2.9315 | 4000 | 7.3975 | |
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| 8.1326 | 4.3972 | 6000 | 7.2718 | |
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| 7.2846 | 5.8630 | 8000 | 7.1835 | |
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| 7.2846 | 7.3287 | 10000 | 7.0992 | |
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| 7.1078 | 8.7944 | 12000 | 7.0331 | |
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| 7.1078 | 10.2602 | 14000 | 6.9494 | |
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| 6.942 | 11.7259 | 16000 | 6.8899 | |
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| 6.942 | 13.1916 | 18000 | 6.7822 | |
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| 6.7676 | 14.6574 | 20000 | 6.7185 | |
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| 6.7676 | 16.1231 | 22000 | 6.6536 | |
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| 6.5959 | 17.5889 | 24000 | 6.5431 | |
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| 6.5959 | 19.0546 | 26000 | 6.3925 | |
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| 6.3624 | 20.5203 | 28000 | 6.2119 | |
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| 6.3624 | 21.9861 | 30000 | 5.9526 | |
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| 5.9309 | 23.4518 | 32000 | 5.4162 | |
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| 5.9309 | 24.9176 | 34000 | 5.0255 | |
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| 5.0575 | 26.3833 | 36000 | 4.7680 | |
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| 5.0575 | 27.8490 | 38000 | 4.5020 | |
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| 4.5282 | 29.3148 | 40000 | 4.3214 | |
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| 4.5282 | 30.7805 | 42000 | 4.1312 | |
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| 4.1335 | 32.2462 | 44000 | 3.9708 | |
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| 4.1335 | 33.7120 | 46000 | 3.8616 | |
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| 3.8339 | 35.1777 | 48000 | 3.7640 | |
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| 3.8339 | 36.6435 | 50000 | 3.7074 | |
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| 3.6042 | 38.1092 | 52000 | 3.6360 | |
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| 3.6042 | 39.5749 | 54000 | 3.5203 | |
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| 3.4291 | 41.0407 | 56000 | 3.4424 | |
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| 3.4291 | 42.5064 | 58000 | 3.4276 | |
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| 3.286 | 43.9722 | 60000 | 3.3797 | |
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| 3.286 | 45.4379 | 62000 | 3.3277 | |
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| 3.1748 | 46.9036 | 64000 | 3.2922 | |
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| 3.1748 | 48.3694 | 66000 | 3.2361 | |
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| 3.0842 | 49.8351 | 68000 | 3.2043 | |
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| 3.0842 | 51.3008 | 70000 | 3.1870 | |
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| 3.0082 | 52.7666 | 72000 | 3.1487 | |
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| 3.0082 | 54.2323 | 74000 | 3.1257 | |
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| 2.9483 | 55.6981 | 76000 | 3.1001 | |
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| 2.9483 | 57.1638 | 78000 | 3.0694 | |
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| 2.8885 | 58.6295 | 80000 | 3.0605 | |
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| 2.8885 | 60.0953 | 82000 | 3.0568 | |
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| 2.8416 | 61.5610 | 84000 | 3.0083 | |
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| 2.8416 | 63.0267 | 86000 | 3.0188 | |
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| 2.8064 | 64.4925 | 88000 | 3.0213 | |
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| 2.8064 | 65.9582 | 90000 | 2.9645 | |
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| 2.7717 | 67.4240 | 92000 | 2.9901 | |
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| 2.7717 | 68.8897 | 94000 | 2.9684 | |
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| 2.7441 | 70.3554 | 96000 | 2.9565 | |
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| 2.7441 | 71.8212 | 98000 | 2.9547 | |
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| 2.7289 | 73.2869 | 100000 | 2.9275 | |
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### Framework versions |
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- Transformers 4.45.2 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
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