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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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model-index:
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- name: t5-base-iterater
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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-base-iterater
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2580
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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: 8
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- eval_batch_size: 8
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- seed: 42
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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: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.3286 | 0.09 | 2000 | 0.3010 |
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| 0.3194 | 0.18 | 4000 | 0.2872 |
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| 0.3208 | 0.27 | 6000 | 0.2792 |
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| 0.3091 | 0.36 | 8000 | 0.2731 |
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| 0.3164 | 0.45 | 10000 | 0.2678 |
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| 0.2941 | 0.54 | 12000 | 0.2682 |
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| 0.2981 | 0.63 | 14000 | 0.2696 |
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| 0.2975 | 0.72 | 16000 | 0.2643 |
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| 0.3109 | 0.81 | 18000 | 0.2624 |
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| 0.2965 | 0.9 | 20000 | 0.2648 |
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| 0.3053 | 0.99 | 22000 | 0.2627 |
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| 0.2779 | 1.08 | 24000 | 0.2632 |
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| 0.2692 | 1.17 | 26000 | 0.2608 |
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| 0.2755 | 1.26 | 28000 | 0.2600 |
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| 0.2771 | 1.35 | 30000 | 0.2584 |
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| 0.2774 | 1.44 | 32000 | 0.2609 |
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| 0.2976 | 1.53 | 34000 | 0.2593 |
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| 0.2646 | 1.62 | 36000 | 0.2616 |
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| 0.2705 | 1.71 | 38000 | 0.2574 |
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| 0.2714 | 1.8 | 40000 | 0.2577 |
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| 0.2857 | 1.9 | 42000 | 0.2576 |
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| 0.2832 | 1.99 | 44000 | 0.2580 |
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### Framework versions
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- Transformers 4.18.0.dev0
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- Pytorch 1.10.0+cu111
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- Datasets 2.0.0
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- Tokenizers 0.11.6
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