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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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base_model: distilbert-base-uncased |
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model-index: |
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- name: hf-distilbert-imdb-mlm-cosine |
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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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# hf-distilbert-imdb-mlm-cosine |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0939 |
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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: 64 |
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- eval_batch_size: 64 |
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- seed: 420 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 20.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.5054 | 1.0 | 383 | 2.3043 | |
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| 2.3885 | 2.0 | 766 | 2.2447 | |
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| 2.3418 | 3.0 | 1149 | 2.2319 | |
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| 2.3045 | 4.0 | 1532 | 2.1883 | |
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| 2.2772 | 5.0 | 1915 | 2.1893 | |
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| 2.2543 | 6.0 | 2298 | 2.1683 | |
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| 2.2308 | 7.0 | 2681 | 2.1454 | |
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| 2.2139 | 8.0 | 3064 | 2.1403 | |
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| 2.2008 | 9.0 | 3447 | 2.1165 | |
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| 2.1937 | 10.0 | 3830 | 2.1281 | |
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| 2.1778 | 11.0 | 4213 | 2.1189 | |
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| 2.1742 | 12.0 | 4596 | 2.1218 | |
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| 2.1611 | 13.0 | 4979 | 2.0996 | |
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| 2.1562 | 14.0 | 5362 | 2.0992 | |
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| 2.1508 | 15.0 | 5745 | 2.1013 | |
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| 2.1469 | 16.0 | 6128 | 2.0945 | |
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| 2.1437 | 17.0 | 6511 | 2.0899 | |
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| 2.1436 | 18.0 | 6894 | 2.0827 | |
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| 2.1443 | 19.0 | 7277 | 2.0935 | |
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| 2.1389 | 20.0 | 7660 | 2.0939 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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