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brevity_purpose-promt_e30
Spruteus/brevity_purpose-promt_e30
brevity_purpose-promt_e30 is a machine learning model from Spruteus. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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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. -->
brevity_purpose-promt_e30
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5203
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.7055 | 0.8 | 2 | 2.9958 |
| 2.2541 | 2.0 | 5 | 2.4763 |
| 2.8514 | 2.8 | 7 | 2.1730 |
| 1.6487 | 4.0 | 10 | 1.8340 |
| 2.1422 | 4.8 | 12 | 1.6479 |
| 1.2389 | 6.0 | 15 | 1.3906 |
| 1.5708 | 6.8 | 17 | 1.2323 |
| 0.8859 | 8.0 | 20 | 1.0252 |
| 1.1093 | 8.8 | 22 | 0.9102 |
| 0.6324 | 10.0 | 25 | 0.7863 |
| 0.8314 | 10.8 | 27 | 0.7299 |
| 0.5064 | 12.0 | 30 | 0.6678 |
| 0.6959 | 12.8 | 32 | 0.6350 |
| 0.4274 | 14.0 | 35 | 0.5991 |
| 0.5989 | 14.8 | 37 | 0.5832 |
| 0.3782 | 16.0 | 40 | 0.5616 |
| 0.542 | 16.8 | 42 | 0.5521 |
| 0.3476 | 18.0 | 45 | 0.5434 |
| 0.5033 | 18.8 | 47 | 0.5399 |
| 0.3251 | 20.0 | 50 | 0.5345 |
| 0.4739 | 20.8 | 52 | 0.5289 |
| 0.3091 | 22.0 | 55 | 0.5224 |
| 0.4552 | 22.8 | 57 | 0.5206 |
| 0.3005 | 24.0 | 60 | 0.5203 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.1.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- Type
- mistral
- License
- apache-2.0
- Created
- May 12, 2024
- Updated
- May 12, 2024