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method2test-mistral-7B_v0
Minata/method2test-mistral-7B_v0
method2test-mistral-7B_v0 is a machine learning model from Minata. 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
- Jan 7, 2024
- Updated
- Jan 8, 2024
- SHA
- 53263c4a
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. -->
method2test-mistral-7B_v0
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6527
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: 2.5e-05
- 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: linear
- lr_scheduler_warmup_steps: 5
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9248 | 0.09 | 100 | 1.6111 |
| 0.8949 | 0.18 | 200 | 1.5985 |
| 0.9269 | 0.27 | 300 | 1.5983 |
| 0.8941 | 0.36 | 400 | 1.6074 |
| 0.8719 | 0.44 | 500 | 1.6126 |
| 0.8133 | 0.53 | 600 | 1.6316 |
| 0.7936 | 0.62 | 700 | 1.6385 |
| 0.7532 | 0.71 | 800 | 1.6554 |
| 0.7424 | 0.8 | 900 | 1.6479 |
| 0.7573 | 0.89 | 1000 | 1.6527 |
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Library
- peft
- License
- apache-2.0
- Created
- Jan 7, 2024
- Updated
- Jan 8, 2024