tiagoblima
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Browse files- README.md +61 -0
- generation_config.json +7 -0
- model.safetensors +1 -1
README.md
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---
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license: mit
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base_model: unicamp-dl/ptt5-base-t5-vocab
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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-qg-aap-nopeft
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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-qg-aap-nopeft
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This model is a fine-tuned version of [unicamp-dl/ptt5-base-t5-vocab](https://huggingface.co/unicamp-dl/ptt5-base-t5-vocab) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0950
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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: 32
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- eval_batch_size: 4
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
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- lr_scheduler_type: linear
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- num_epochs: 5.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.0561 | 1.0 | 1616 | 1.1296 |
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| 0.9695 | 2.0 | 3232 | 1.1012 |
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| 0.9111 | 3.0 | 4848 | 1.0933 |
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| 0.8691 | 4.0 | 6464 | 1.0926 |
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| 0.8543 | 5.0 | 8080 | 1.0950 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.0.0
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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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": "4.35.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 891644712
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version https://git-lfs.github.com/spec/v1
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size 891644712
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