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gemma-7b-spanishbillionwords
mcamara/gemma-7b-spanishbillionwords
gemma-7b-spanishbillionwords is a machine learning model from mcamara. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- Mar 12, 2024
- Updated
- Mar 12, 2024
- SHA
- 9c52ee96
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
gemma-7b-spanishbillionwords
This model is a fine-tuned version of google/gemma-7b on Spanish Billion Words. This is the base Gemma model fine-tuned to perform better on spanish language. It achieves the following results on the evaluation set:
- Loss: 12.1686
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.7924 | 0.0 | 1 | 12.2361 |
| 4.4499 | 0.0 | 2 | 12.1524 |
| 3.9217 | 0.0 | 3 | 12.0710 |
| 4.3292 | 0.0 | 4 | 12.1710 |
| 6.6619 | 0.0 | 5 | 12.1710 |
| 4.4917 | 0.0 | 6 | 12.2628 |
| 4.8346 | 0.0 | 7 | 12.3997 |
| 3.6987 | 0.0 | 8 | 12.4212 |
| 6.0457 | 0.0 | 9 | 12.4049 |
| 3.7882 | 0.0 | 10 | 12.4228 |
| 3.9878 | 0.0 | 11 | 12.4168 |
| 5.1707 | 0.0 | 12 | 12.3961 |
| 3.7024 | 0.0 | 13 | 12.3430 |
| 5.8496 | 0.0 | 14 | 12.3009 |
| 5.1708 | 0.0 | 15 | 12.2863 |
| 4.9796 | 0.0 | 16 | 12.2789 |
| 4.3754 | 0.0 | 17 | 12.2600 |
| 4.8339 | 0.0 | 18 | 12.2371 |
| 4.0352 | 0.0 | 19 | 12.2284 |
| 3.9643 | 0.0 | 20 | 12.2266 |
| 3.6923 | 0.0 | 21 | 12.2103 |
| 4.8213 | 0.0 | 22 | 12.2015 |
| 3.8048 | 0.0 | 23 | 12.1901 |
| 4.3145 | 0.0 | 24 | 12.1837 |
| 3.6633 | 0.0 | 25 | 12.1811 |
| 4.2401 | 0.0 | 26 | 12.1775 |
| 3.3954 | 0.0 | 27 | 12.1757 |
| 5.631 | 0.0 | 28 | 12.1720 |
| 3.8886 | 0.0 | 29 | 12.1714 |
| 4.3891 | 0.0 | 30 | 12.1686 |
Framework versions
- PEFT 0.8.2
- Transformers 4.38.0
- Pytorch 2.2.1+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
- Library
- peft
- License
- other
- Created
- Mar 12, 2024
- Updated
- Mar 12, 2024