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sruthigorantla_-_Mistral-7B-v0.1-code-sft-gguf
RichardErkhov/sruthigorantla_-_Mistral-7B-v0.1-code-sft-gguf
sruthigorantla_-_Mistral-7B-v0.1-code-sft-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 13, 2025
- Updated
- Apr 14, 2025
- SHA
- 929cf07f
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
Mistral-7B-v0.1-code-sft - GGUF
- Model creator: https://huggingface.co/sruthigorantla/
- Original model: https://huggingface.co/sruthigorantla/Mistral-7B-v0.1-code-sft/
Original model description:
library_name: transformers license: apache-2.0 base_model: mistralai/Mistral-7B-v0.1 tags:
- trl
- sft
- generated_from_trainer datasets:
- generator model-index:
- name: Mistral-7B-v0.1-code-sft 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. -->
Mistral-7B-v0.1-code-sft
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.3027
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: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3911 | 1.0 | 129 | 0.3027 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
- Created
- Apr 13, 2025
- Updated
- Apr 14, 2025