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finetune-mistral-cleaner-v2
amy011872/finetune-mistral-cleaner-v2
finetune-mistral-cleaner-v2 is a machine learning model from amy011872. 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 9, 2024
- Updated
- Jan 9, 2024
- SHA
- 3217353e
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. -->
finetune-mistral-cleaner-v2
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7539
Model description
A Mistral model finetuned for cleaning web source.
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-07
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9886 | 0.13 | 20 | 1.7551 |
| 1.7559 | 0.27 | 40 | 1.7549 |
| 2.0012 | 0.4 | 60 | 1.7547 |
| 1.6501 | 0.53 | 80 | 1.7545 |
| 1.8329 | 0.67 | 100 | 1.7543 |
| 1.9872 | 0.8 | 120 | 1.7541 |
| 1.7711 | 0.93 | 140 | 1.7539 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.1
- Datasets 2.16.1
- Tokenizers 0.15.0
- Library
- peft
- License
- apache-2.0
- Created
- Jan 9, 2024
- Updated
- Jan 9, 2024