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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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model-index:
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- name: SAE-distilbert-base-uncased
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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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# SAE-distilbert-base-uncased
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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: 2.2970
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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: 15
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- eval_batch_size: 15
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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: 15
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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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| 2.5323 | 1.0 | 37 | 2.4503 |
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| 2.4968 | 2.0 | 74 | 2.4571 |
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| 2.4688 | 3.0 | 111 | 2.4099 |
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| 2.419 | 4.0 | 148 | 2.3343 |
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| 2.4229 | 5.0 | 185 | 2.3072 |
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| 2.4067 | 6.0 | 222 | 2.2927 |
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| 2.3877 | 7.0 | 259 | 2.2836 |
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| 2.374 | 8.0 | 296 | 2.3767 |
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| 2.3582 | 9.0 | 333 | 2.2493 |
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| 2.356 | 10.0 | 370 | 2.2847 |
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| 2.3294 | 11.0 | 407 | 2.3234 |
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| 2.3358 | 12.0 | 444 | 2.2660 |
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| 2.3414 | 13.0 | 481 | 2.2887 |
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| 2.3154 | 14.0 | 518 | 2.3737 |
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| 2.311 | 15.0 | 555 | 2.2686 |
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### Framework versions
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- Transformers 4.16.2
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- Pytorch 1.10.0+cu111
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- Datasets 1.18.3
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- Tokenizers 0.11.0
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