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mistral-7b-sft-lora-ha-v0.3_cleaned
HachiML/mistral-7b-sft-lora-ha-v0.3_cleaned
mistral-7b-sft-lora-ha-v0.3_cleaned is a machine learning model from HachiML. 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 2, 2024
- Updated
- May 3, 2024
- SHA
- fec23a40
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-7b-sft-lora-ha-v0.3_cleaned
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: 1.0950
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9176 | 1.0 | 48 | 1.3600 |
| 1.2058 | 2.0 | 96 | 1.1674 |
| 1.1141 | 3.0 | 144 | 1.1143 |
| 1.0792 | 4.0 | 192 | 1.0958 |
| 1.0715 | 5.0 | 240 | 1.0950 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- May 2, 2024
- Updated
- May 3, 2024