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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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datasets:
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- squad_v2_sv
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model-index:
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- name: flan-t5-base-squad-swe2
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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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# flan-t5-base-squad-swe2
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the squad_v2_sv dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4248
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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: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.0881 | 1.0 | 890 | 1.6422 |
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| 1.7772 | 2.0 | 1780 | 1.5586 |
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| 1.6763 | 3.0 | 2670 | 1.5153 |
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| 1.6215 | 4.0 | 3560 | 1.4852 |
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| 1.5912 | 5.0 | 4450 | 1.4629 |
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| 1.5651 | 6.0 | 5340 | 1.4481 |
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| 1.5407 | 7.0 | 6230 | 1.4374 |
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| 1.5278 | 8.0 | 7120 | 1.4308 |
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| 1.5137 | 9.0 | 8010 | 1.4269 |
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| 1.5116 | 10.0 | 8900 | 1.4248 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.0+cu116
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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