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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_eli_squad_aug_exp__ |
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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_eli_squad_aug_exp__ |
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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: 2.5242 |
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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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| 3.8266 | 0.25 | 100 | 2.9131 | |
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| 2.9641 | 0.51 | 200 | 2.7933 | |
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| 2.8628 | 0.76 | 300 | 2.7168 | |
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| 2.8042 | 1.01 | 400 | 2.6537 | |
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| 2.7292 | 1.27 | 500 | 2.6111 | |
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| 2.6952 | 1.52 | 600 | 2.5807 | |
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| 2.6677 | 1.77 | 700 | 2.5603 | |
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| 2.6553 | 2.03 | 800 | 2.5481 | |
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| 2.6339 | 2.28 | 900 | 2.5348 | |
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| 2.6246 | 2.53 | 1000 | 2.5286 | |
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| 2.6205 | 2.78 | 1100 | 2.5242 | |
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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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