Model save
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README.md
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---
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license: apache-2.0
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base_model: google/electra-small-discriminator
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tags:
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- generated_from_trainer
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datasets:
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- squad
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model-index:
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- name: electra-small-discriminator-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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# electra-small-discriminator-finetuned-squad
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This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on the squad dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1732
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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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| 1.3704 | 1.0 | 5533 | 1.2608 |
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| 1.168 | 2.0 | 11066 | 1.1946 |
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| 1.0192 | 3.0 | 16599 | 1.1732 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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model.safetensors
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runs/Nov19_23-40-23_3f3a1039ada0/events.out.tfevents.1700437232.3f3a1039ada0.3929.0
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