Model save
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- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: distilbert-base-uncased
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tags:
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- generated_from_trainer
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model-index:
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- name: distilbert-base-uncased-finetuned-squad
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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-base-uncased-finetuned-squad
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3618
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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: 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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:-----:|:---------------:|
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| 0.8524 | 0.2711 | 1500 | 1.2645 |
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| 0.7508 | 0.5422 | 3000 | 1.2776 |
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| 0.7105 | 0.8133 | 4500 | 1.2793 |
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| 0.6261 | 1.0844 | 6000 | 1.5100 |
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| 0.4492 | 1.3555 | 7500 | 1.4754 |
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| 0.7289 | 1.6266 | 9000 | 1.2560 |
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| 0.7526 | 1.8977 | 10500 | 1.2356 |
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| 0.6204 | 2.1688 | 12000 | 1.3780 |
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| 0.5492 | 2.4399 | 13500 | 1.3522 |
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| 0.534 | 2.7110 | 15000 | 1.3761 |
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| 0.5376 | 2.9821 | 16500 | 1.3618 |
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### Framework versions
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- Transformers 4.41.0.dev0
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- Pytorch 2.2.2+cu118
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 265470032
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version https://git-lfs.github.com/spec/v1
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size 265470032
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