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---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.1
datasets:
- generator
model-index:
- name: mistral_instruct_generation
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_instruct_generation
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5057
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- training_steps: 100
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.771 | 0.0164 | 10 | 0.6439 |
| 0.5601 | 0.0328 | 20 | 0.5503 |
| 0.5247 | 0.0492 | 30 | 0.5304 |
| 0.5286 | 0.0656 | 40 | 0.5220 |
| 0.483 | 0.0820 | 50 | 0.5168 |
| 0.4794 | 0.0984 | 60 | 0.5133 |
| 0.4826 | 0.1148 | 70 | 0.5104 |
| 0.4665 | 0.1311 | 80 | 0.5084 |
| 0.4703 | 0.1475 | 90 | 0.5064 |
| 0.4899 | 0.1639 | 100 | 0.5057 |
### Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.41.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1 |