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README.md
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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: MTL-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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# MTL-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: 2.3718
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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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| 3.1225 | 1.0 | 50 | 2.7381 |
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| 2.7945 | 2.0 | 100 | 2.6858 |
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| 2.7162 | 3.0 | 150 | 2.5329 |
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| 2.6526 | 4.0 | 200 | 2.5430 |
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| 2.5863 | 5.0 | 250 | 2.4785 |
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| 2.5701 | 6.0 | 300 | 2.4415 |
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| 2.5362 | 7.0 | 350 | 2.4678 |
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| 2.4961 | 8.0 | 400 | 2.4571 |
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| 2.4842 | 9.0 | 450 | 2.3915 |
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| 2.4697 | 10.0 | 500 | 2.4644 |
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| 2.4407 | 11.0 | 550 | 2.3628 |
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| 2.4264 | 12.0 | 600 | 2.4008 |
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| 2.4321 | 13.0 | 650 | 2.3672 |
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| 2.4169 | 14.0 | 700 | 2.3586 |
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| 2.4056 | 15.0 | 750 | 2.3705 |
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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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