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---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: mistral7b_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. -->
# mistral7b_instruct_generation
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7939
## 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: 4
- 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: 500
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7815 | 0.0 | 20 | 1.8296 |
| 1.8199 | 0.01 | 40 | 1.7992 |
| 1.7606 | 0.01 | 60 | 1.7950 |
| 1.8347 | 0.01 | 80 | 1.7923 |
| 1.7433 | 0.01 | 100 | 1.7958 |
| 1.8829 | 0.02 | 120 | 1.7928 |
| 1.769 | 0.02 | 140 | 1.7893 |
| 1.7817 | 0.02 | 160 | 1.7849 |
| 1.7975 | 0.03 | 180 | 1.7881 |
| 2.008 | 0.03 | 200 | 1.7882 |
| 1.827 | 0.03 | 220 | 1.7993 |
| 1.8336 | 0.03 | 240 | 1.7953 |
| 1.8757 | 0.04 | 260 | 1.7916 |
| 1.9317 | 0.04 | 280 | 1.7900 |
| 1.8708 | 0.04 | 300 | 1.7867 |
| 1.8851 | 0.04 | 320 | 1.7928 |
| 1.94 | 0.05 | 340 | 1.7880 |
| 1.7749 | 0.05 | 360 | 1.8033 |
| 1.8647 | 0.05 | 380 | 1.7870 |
| 1.8468 | 0.06 | 400 | 1.7871 |
| 1.8341 | 0.06 | 420 | 1.7890 |
| 1.9152 | 0.06 | 440 | 1.7892 |
| 1.7979 | 0.06 | 460 | 1.8051 |
| 1.9065 | 0.07 | 480 | 1.7986 |
| 1.8011 | 0.07 | 500 | 1.7939 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.37.0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0 |