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  1. README.md +60 -0
  2. generation_config.json +16 -0
README.md ADDED
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+ ---
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+ base_model: tiagoblima/t2t-gun-nlth-from-base
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: t2t-gun-nlth-from-base-warmup
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+ results: []
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+ ---
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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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+
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+ # t2t-gun-nlth-from-base-warmup
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+
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+ This model is a fine-tuned version of [tiagoblima/t2t-gun-nlth-from-base](https://huggingface.co/tiagoblima/t2t-gun-nlth-from-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 4.2714
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 2
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+ - eval_batch_size: 1
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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: 3.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 5.5983 | 0.55 | 4000 | 5.4980 |
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+ | 4.9836 | 1.1 | 8000 | 4.9345 |
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+ | 4.6311 | 1.65 | 12000 | 4.5711 |
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+ | 4.2902 | 2.2 | 16000 | 4.3787 |
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+ | 4.1916 | 2.74 | 20000 | 4.2714 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.1
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "bad_words_ids": [
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+ [
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+ 6637
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+ ]
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+ ],
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+ "bos_token_id": 0,
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+ "decoder_start_token_id": 6637,
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+ "eos_token_id": 2701,
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+ "forced_eos_token_id": 2701,
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+ "max_length": 512,
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+ "num_beams": 2,
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+ "pad_token_id": 6637,
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+ "transformers_version": "4.35.2"
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+ }