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cls_alldata_mistral_v1
Sorour/cls_alldata_mistral_v1
cls_alldata_mistral_v1 is a machine learning model from Sorour. 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 24, 2024
- Updated
- May 25, 2024
- SHA
- 1246ff2d
Base models
Datasets
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. -->
cls_alldata_mistral_v1
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.4126
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5676 | 0.1091 | 20 | 0.5817 |
| 0.5158 | 0.2183 | 40 | 0.5408 |
| 0.5124 | 0.3274 | 60 | 0.5162 |
| 0.4791 | 0.4366 | 80 | 0.4999 |
| 0.4762 | 0.5457 | 100 | 0.4850 |
| 0.4724 | 0.6548 | 120 | 0.4737 |
| 0.4423 | 0.7640 | 140 | 0.4611 |
| 0.4453 | 0.8731 | 160 | 0.4508 |
| 0.4179 | 0.9823 | 180 | 0.4412 |
| 0.3243 | 1.0914 | 200 | 0.4479 |
| 0.3198 | 1.2005 | 220 | 0.4383 |
| 0.3012 | 1.3097 | 240 | 0.4335 |
| 0.3135 | 1.4188 | 260 | 0.4315 |
| 0.3081 | 1.5280 | 280 | 0.4247 |
| 0.3048 | 1.6371 | 300 | 0.4193 |
| 0.322 | 1.7462 | 320 | 0.4150 |
| 0.3034 | 1.8554 | 340 | 0.4136 |
| 0.3188 | 1.9645 | 360 | 0.4126 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- May 24, 2024
- Updated
- May 25, 2024