jackfriedson
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Training complete
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README.md
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---
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license: apache-2.0
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base_model: distilbert/distilbert-base-cased-distilled-squad
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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-cased-distilled-squad-v2
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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-cased-distilled-squad-v2
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This model is a fine-tuned version of [distilbert/distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert/distilbert-base-cased-distilled-squad) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9145
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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: 8
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- eval_batch_size: 8
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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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- 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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| 0.969 | 0.17 | 2500 | 0.8847 |
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| 0.9411 | 0.34 | 5000 | 0.8974 |
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| 0.9072 | 0.51 | 7500 | 0.8331 |
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| 0.9098 | 0.68 | 10000 | 0.8146 |
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| 0.866 | 0.85 | 12500 | 0.8371 |
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| 0.6918 | 1.02 | 15000 | 0.8752 |
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| 0.6142 | 1.19 | 17500 | 0.8580 |
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| 0.6348 | 1.36 | 20000 | 0.8042 |
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| 0.604 | 1.53 | 22500 | 0.8274 |
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| 0.5953 | 1.7 | 25000 | 0.8006 |
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| 0.6046 | 1.87 | 27500 | 0.8022 |
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| 0.4395 | 2.04 | 30000 | 0.8887 |
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| 0.4461 | 2.21 | 32500 | 0.9536 |
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| 0.4254 | 2.38 | 35000 | 0.9380 |
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| 0.4234 | 2.55 | 37500 | 0.9079 |
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| 0.396 | 2.72 | 40000 | 0.9392 |
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| 0.4161 | 2.89 | 42500 | 0.9145 |
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.2.0+cu121
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- Datasets 2.17.0
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- Tokenizers 0.15.1
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model.safetensors
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