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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: 1.8070
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.958 | 0.0 | 20 | 1.8399 |
| 1.8756 | 0.01 | 40 | 1.8082 |
| 1.888 | 0.01 | 60 | 1.7994 |
| 1.7863 | 0.01 | 80 | 1.7892 |
| 1.7987 | 0.01 | 100 | 1.7897 |
| 1.847 | 0.02 | 120 | 1.7881 |
| 1.8505 | 0.02 | 140 | 1.7858 |
| 1.7915 | 0.02 | 160 | 1.7900 |
| 1.8611 | 0.03 | 180 | 1.7942 |
| 1.8827 | 0.03 | 200 | 1.7943 |
| 1.88 | 0.03 | 220 | 1.7953 |
| 1.8887 | 0.03 | 240 | 1.7888 |
| 1.6737 | 0.04 | 260 | 1.7939 |
| 1.8471 | 0.04 | 280 | 1.7880 |
| 1.8163 | 0.04 | 300 | 1.7835 |
| 1.7763 | 0.04 | 320 | 1.7825 |
| 1.8567 | 0.05 | 340 | 1.7962 |
| 1.8203 | 0.05 | 360 | 1.7871 |
| 1.965 | 0.05 | 380 | 1.7897 |
| 1.9522 | 0.06 | 400 | 1.8036 |
| 1.8826 | 0.06 | 420 | 1.8028 |
| 1.8173 | 0.06 | 440 | 1.8205 |
| 1.8269 | 0.06 | 460 | 1.8059 |
| 1.8498 | 0.07 | 480 | 1.7966 |
| 1.9159 | 0.07 | 500 | 1.8070 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1 |