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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: recipe-distilbert-upper-Is
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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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# recipe-distilbert-upper-Is
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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: 0.8565
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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: 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: 20
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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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| 1.6309 | 1.0 | 1305 | 1.2607 |
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| 1.2639 | 2.0 | 2610 | 1.1291 |
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| 1.1592 | 3.0 | 3915 | 1.0605 |
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| 1.0987 | 4.0 | 5220 | 1.0128 |
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| 1.0569 | 5.0 | 6525 | 0.9796 |
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| 1.0262 | 6.0 | 7830 | 0.9592 |
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| 1.0032 | 7.0 | 9135 | 0.9352 |
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| 0.9815 | 8.0 | 10440 | 0.9186 |
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| 0.967 | 9.0 | 11745 | 0.9086 |
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| 0.9532 | 10.0 | 13050 | 0.8973 |
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| 0.9436 | 11.0 | 14355 | 0.8888 |
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| 0.9318 | 12.0 | 15660 | 0.8835 |
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| 0.9243 | 13.0 | 16965 | 0.8748 |
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| 0.9169 | 14.0 | 18270 | 0.8673 |
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| 0.9117 | 15.0 | 19575 | 0.8610 |
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| 0.9066 | 16.0 | 20880 | 0.8562 |
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| 0.9028 | 17.0 | 22185 | 0.8566 |
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| 0.901 | 18.0 | 23490 | 0.8583 |
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| 0.8988 | 19.0 | 24795 | 0.8557 |
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| 0.8958 | 20.0 | 26100 | 0.8565 |
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### Framework versions
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- Transformers 4.19.0.dev0
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- Pytorch 1.11.0+cu102
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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