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TR_Model-1st-Mistral-7B
Yankz/TR_Model-1st-Mistral-7B
TR_Model-1st-Mistral-7B is a machine learning model from Yankz. 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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Repo size
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jan 26, 2024
- Updated
- Jan 27, 2024
- SHA
- c2cf4e00
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. -->
results
This model is a fine-tuned version of LeoLM/leo-mistral-hessianai-7b-chat on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6241
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: 5e-05
- 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: 10
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.6723 | 0.99 | 62 | 2.6241 |
Framework versions
- PEFT 0.7.1
- Transformers 4.37.1
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Library
- peft
- License
- apache-2.0
- Created
- Jan 26, 2024
- Updated
- Jan 27, 2024