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brevity_gs-promt_e30
Spruteus/brevity_gs-promt_e30
brevity_gs-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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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- May 12, 2024
- Updated
- May 12, 2024
- SHA
- 202f9d92
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. -->
brevity_gs-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: 0.3849
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 |
|---|---|---|---|
| 3.0749 | 0.8 | 2 | 2.2613 |
| 1.8691 | 2.0 | 5 | 1.9098 |
| 2.4011 | 2.8 | 7 | 1.7179 |
| 1.4252 | 4.0 | 10 | 1.4839 |
| 1.8772 | 4.8 | 12 | 1.3338 |
| 1.0883 | 6.0 | 15 | 1.1161 |
| 1.3875 | 6.8 | 17 | 0.9824 |
| 0.7889 | 8.0 | 20 | 0.8053 |
| 0.9835 | 8.8 | 22 | 0.7143 |
| 0.5675 | 10.0 | 25 | 0.6228 |
| 0.7408 | 10.8 | 27 | 0.5772 |
| 0.4325 | 12.0 | 30 | 0.5213 |
| 0.5746 | 12.8 | 32 | 0.4935 |
| 0.3531 | 14.0 | 35 | 0.4603 |
| 0.4814 | 14.8 | 37 | 0.4431 |
| 0.3017 | 16.0 | 40 | 0.4227 |
| 0.4213 | 16.8 | 42 | 0.4130 |
| 0.2693 | 18.0 | 45 | 0.4021 |
| 0.3811 | 18.8 | 47 | 0.3966 |
| 0.25 | 20.0 | 50 | 0.3910 |
| 0.3578 | 20.8 | 52 | 0.3886 |
| 0.2316 | 22.0 | 55 | 0.3863 |
| 0.3407 | 22.8 | 57 | 0.3854 |
| 0.2228 | 24.0 | 60 | 0.3849 |
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
- License
- apache-2.0
- Created
- May 12, 2024
- Updated
- May 12, 2024