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mistral-esg-gsm-hard-lora
philimon/mistral-esg-gsm-hard-lora
mistral-esg-gsm-hard-lora is a machine learning model from philimon. 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.
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
- Access
- Public
- Created
- Jan 31, 2024
- Updated
- Feb 1, 2024
- SHA
- ef6f9500
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. -->
mistral-esg-gsm-hard-lora
This model is a fine-tuned version of philimon/mistral-esg-v1 on the None dataset.
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: 8
- 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: cosine
- training_steps: 1319
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.8.1
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.1
- Library
- peft
- Created
- Jan 31, 2024
- Updated
- Feb 1, 2024