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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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base_model: t5-large |
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model-index: |
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- name: t5-large-qdmr-grounded-with-db |
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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-large-qdmr-grounded-with-db |
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This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1100 |
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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: 1 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 2 |
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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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- training_steps: 20000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.2122 | 0.2312 | 500 | 0.1902 | |
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| 0.1786 | 0.4624 | 1000 | 0.1430 | |
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| 0.146 | 0.6936 | 1500 | 0.1148 | |
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| 0.1223 | 0.9249 | 2000 | 0.1092 | |
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| 0.0976 | 1.1561 | 2500 | 0.1100 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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