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mlfoundations-dev_-_hp_ablations_mistral_lr5e-6-gguf
RichardErkhov/mlfoundations-dev_-_hp_ablations_mistral_lr5e-6-gguf
mlfoundations-dev_-_hp_ablations_mistral_lr5e-6-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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At a glance
- Access
- Public
- Created
- Apr 17, 2025
- Updated
- Apr 17, 2025
- SHA
- 4d2f12b5
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
hp_ablations_mistral_lr5e-6 - GGUF
- Model creator: https://huggingface.co/mlfoundations-dev/
- Original model: https://huggingface.co/mlfoundations-dev/hp_ablations_mistral_lr5e-6/
Original model description:
library_name: transformers license: apache-2.0 base_model: mistralai/Mistral-7B-v0.1 tags:
- llama-factory
- full
- generated_from_trainer model-index:
- name: hp_ablations_mistral_lr5e-6 results: []
<!-- 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. -->
hp_ablations_mistral_lr5e-6
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the mlfoundations-dev/oh-dcft-v3.1-gpt-4o-mini dataset. It achieves the following results on the evaluation set:
- Loss: 0.0728
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-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 512
- total_eval_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 1738
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5479 | 0.9985 | 493 | 0.0688 |
| 0.4838 | 1.9990 | 987 | 0.0688 |
| 0.4038 | 2.9954 | 1479 | 0.0728 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.3.0
- Datasets 3.0.2
- Tokenizers 0.20.3
- Created
- Apr 17, 2025
- Updated
- Apr 17, 2025