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update model card README.md
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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: distilbert-finetuned-lr1e-05-epochs15
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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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# distilbert-finetuned-lr1e-05-epochs15
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This model is a fine-tuned version of [distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert-base-cased-distilled-squad) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.0019
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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: 1e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 10 | 4.0327 |
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| No log | 2.0 | 20 | 3.3750 |
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| No log | 3.0 | 30 | 3.2252 |
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| No log | 4.0 | 40 | 3.0340 |
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| No log | 5.0 | 50 | 2.9771 |
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| No log | 6.0 | 60 | 2.9568 |
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| No log | 7.0 | 70 | 2.9837 |
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| No log | 8.0 | 80 | 2.9969 |
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| No log | 9.0 | 90 | 2.8922 |
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| No log | 10.0 | 100 | 2.9075 |
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| No log | 11.0 | 110 | 2.9617 |
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| No log | 12.0 | 120 | 2.9936 |
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| No log | 13.0 | 130 | 2.9937 |
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| No log | 14.0 | 140 | 2.9997 |
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| No log | 15.0 | 150 | 3.0019 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 2.0.0+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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