Training complete
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README.md
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---
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library_name: transformers
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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: t5email
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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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# t5email
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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: 0.0616
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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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- lr_scheduler_warmup_steps: 500
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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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| 0.1257 | 0.5 | 500 | 0.0922 |
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| 0.0866 | 1.0 | 1000 | 0.0712 |
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| 0.0777 | 1.5 | 1500 | 0.0664 |
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| 0.0742 | 2.0 | 2000 | 0.0637 |
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| 0.0726 | 2.5 | 2500 | 0.0620 |
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| 0.0717 | 3.0 | 3000 | 0.0616 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Datasets 3.2.0
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- Tokenizers 0.19.1
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generation_config.json
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{
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"_from_model_config": true,
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.44.2"
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}
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runs/Jan14_14-47-48_0e62a1761f38/events.out.tfevents.1736868400.0e62a1761f38.40.3
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version https://git-lfs.github.com/spec/v1
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oid sha256:c982c05d733c5abfe38349df20a7d5085809d94d6c9ea2c2845d328bc09e04c6
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size 359
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