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--- |
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license: apache-2.0 |
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base_model: t5-small |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: t5-small-end2end-questions-generation_squad_eli_exp_imp |
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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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# t5-small-end2end-questions-generation_squad_eli_exp_imp |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5195 |
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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: 0.0001 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 32 |
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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: 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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| 3.761 | 0.25 | 100 | 2.9144 | |
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| 2.899 | 0.49 | 200 | 2.7900 | |
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| 2.8197 | 0.74 | 300 | 2.7126 | |
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| 2.7398 | 0.98 | 400 | 2.6565 | |
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| 2.6601 | 1.23 | 500 | 2.6167 | |
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| 2.6415 | 1.47 | 600 | 2.5833 | |
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| 2.615 | 1.72 | 700 | 2.5593 | |
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| 2.5964 | 1.96 | 800 | 2.5454 | |
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| 2.5687 | 2.21 | 900 | 2.5322 | |
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| 2.5625 | 2.46 | 1000 | 2.5259 | |
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| 2.5559 | 2.7 | 1100 | 2.5204 | |
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| 2.5527 | 2.95 | 1200 | 2.5195 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.3 |
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- Tokenizers 0.13.3 |
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