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README.md
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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: finetuning_t5
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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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# finetuning_t5
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2795
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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: 2e-05
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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: 16
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- total_train_batch_size: 64
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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
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.3628 | 1.0 | 444 | 0.2424 |
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| 0.2569 | 2.0 | 889 | 0.2220 |
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| 0.3852 | 3.0 | 1333 | 0.2854 |
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| 0.4332 | 4.0 | 1778 | 0.2795 |
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| 0.4322 | 5.0 | 2222 | 0.2794 |
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| 0.4276 | 6.0 | 2667 | 0.2794 |
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| 0.4275 | 7.0 | 3111 | 0.2794 |
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| 0.4269 | 8.0 | 3556 | 0.2795 |
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| 0.429 | 9.0 | 4001 | 0.2795 |
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| 0.4308 | 9.99 | 4440 | 0.2795 |
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### Framework versions
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- Transformers 4.30.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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