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--- |
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license: other |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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base_model: google/gemma-7b |
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model-index: |
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- name: gemma-7b-spanishbillionwords |
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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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# gemma-7b-spanishbillionwords |
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This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co./google/gemma-7b) on [Spanish Billion Words](https://huggingface.co./datasets/jhonparra18/spanish_billion_words_clean). |
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This is the base Gemma model fine-tuned to perform better on spanish language. It achieves the following results on the evaluation set: |
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- Loss: 12.1686 |
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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: 0.0002 |
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- train_batch_size: 1 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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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: 2 |
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- training_steps: 30 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.7924 | 0.0 | 1 | 12.2361 | |
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| 4.4499 | 0.0 | 2 | 12.1524 | |
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| 3.9217 | 0.0 | 3 | 12.0710 | |
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| 4.3292 | 0.0 | 4 | 12.1710 | |
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| 6.6619 | 0.0 | 5 | 12.1710 | |
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| 4.4917 | 0.0 | 6 | 12.2628 | |
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| 4.8346 | 0.0 | 7 | 12.3997 | |
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| 3.6987 | 0.0 | 8 | 12.4212 | |
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| 6.0457 | 0.0 | 9 | 12.4049 | |
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| 3.7882 | 0.0 | 10 | 12.4228 | |
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| 3.9878 | 0.0 | 11 | 12.4168 | |
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| 5.1707 | 0.0 | 12 | 12.3961 | |
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| 3.7024 | 0.0 | 13 | 12.3430 | |
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| 5.8496 | 0.0 | 14 | 12.3009 | |
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| 5.1708 | 0.0 | 15 | 12.2863 | |
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| 4.9796 | 0.0 | 16 | 12.2789 | |
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| 4.3754 | 0.0 | 17 | 12.2600 | |
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| 4.8339 | 0.0 | 18 | 12.2371 | |
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| 4.0352 | 0.0 | 19 | 12.2284 | |
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| 3.9643 | 0.0 | 20 | 12.2266 | |
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| 3.6923 | 0.0 | 21 | 12.2103 | |
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| 4.8213 | 0.0 | 22 | 12.2015 | |
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| 3.8048 | 0.0 | 23 | 12.1901 | |
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| 4.3145 | 0.0 | 24 | 12.1837 | |
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| 3.6633 | 0.0 | 25 | 12.1811 | |
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| 4.2401 | 0.0 | 26 | 12.1775 | |
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| 3.3954 | 0.0 | 27 | 12.1757 | |
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| 5.631 | 0.0 | 28 | 12.1720 | |
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| 3.8886 | 0.0 | 29 | 12.1714 | |
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| 4.3891 | 0.0 | 30 | 12.1686 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.38.0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.2 |
