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: asn1814/openbookqa_bert-base-uncased
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: openbookqa_bert-base-uncased_fact_retrieval_k_10
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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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# openbookqa_bert-base-uncased_fact_retrieval_k_10
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This model is a fine-tuned version of [asn1814/openbookqa_bert-base-uncased](https://huggingface.co/asn1814/openbookqa_bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.9155
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- Accuracy: 0.59
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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: 5e-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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.3035 | 1.0 | 310 | 1.4148 | 0.57 |
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| 0.1243 | 2.0 | 620 | 1.9743 | 0.57 |
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| 0.077 | 3.0 | 930 | 2.4690 | 0.584 |
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| 0.028 | 4.0 | 1240 | 2.8887 | 0.582 |
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| 0.0118 | 5.0 | 1550 | 2.9155 | 0.59 |
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### Framework versions
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- Transformers 4.38.1
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- Pytorch 2.1.0+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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model.safetensors
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