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--- |
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license: apache-2.0 |
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base_model: t5-3b |
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tags: |
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- generated_from_trainer |
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datasets: |
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- squad |
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model-index: |
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- name: t5_3b_epoch_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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# t5_3b_epoch_10 |
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This model is a fine-tuned version of [t5-3b](https://huggingface.co/t5-3b) on the squad dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0960 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 256 |
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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: 10.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.147 | 1.0 | 342 | 1.0960 | |
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| 0.9928 | 2.0 | 684 | 1.1021 | |
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| 0.861 | 3.0 | 1026 | 1.1422 | |
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| 0.7545 | 4.0 | 1368 | 1.2032 | |
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| 0.6504 | 5.0 | 1710 | 1.2719 | |
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| 0.5708 | 6.0 | 2053 | 1.3405 | |
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| 0.5077 | 7.0 | 2395 | 1.4169 | |
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| 0.452 | 8.0 | 2737 | 1.4925 | |
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| 0.4063 | 9.0 | 3079 | 1.5488 | |
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| 0.3863 | 9.99 | 3420 | 1.5926 | |
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### Framework versions |
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- Transformers 4.32.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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