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Browse files- README.md +60 -0
- generation_config.json +16 -0
README.md
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---
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base_model: tiagoblima/gun-nlth-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
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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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# t2t-gun-nlth-from-base
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This model is a fine-tuned version of [tiagoblima/gun-nlth-base](https://huggingface.co/tiagoblima/gun-nlth-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.3261
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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: 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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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 6.6795 | 0.55 | 4000 | 6.5678 |
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| 6.5538 | 1.1 | 8000 | 6.4805 |
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| 6.4744 | 1.65 | 12000 | 6.4086 |
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| 6.3835 | 2.2 | 16000 | 6.3552 |
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| 6.3875 | 2.74 | 20000 | 6.3261 |
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### Framework versions
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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
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generation_config.json
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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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}
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