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---
library_name: peft
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.3
tags:
- generated_from_trainer
model-index:
- name: Mistral_Ch_Text_Grand
results: []
datasets:
- chaymaemerhrioui/autre771
---
<!-- 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_Ch_Text_Grand
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4386
## Model description
The model convert a user input into a detailed technical description
## 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-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- 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: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 3
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.9051 | 0.2886 | 50 | 0.8378 |
| 0.6498 | 0.5772 | 100 | 0.6354 |
| 0.559 | 0.8658 | 150 | 0.5632 |
| 0.4766 | 1.1501 | 200 | 0.5298 |
| 0.4575 | 1.4387 | 250 | 0.4946 |
| 0.4517 | 1.7273 | 300 | 0.4729 |
| 0.4278 | 2.0115 | 350 | 0.4606 |
| 0.4048 | 2.3001 | 400 | 0.4517 |
| 0.4137 | 2.5887 | 450 | 0.4427 |
| 0.3779 | 2.8773 | 500 | 0.4386 |
### Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1 |