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---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
datasets:
- generator
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: 1.8140
## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 1.8937 | 0.0028 | 20 | 1.8344 |
| 1.8442 | 0.0056 | 40 | 1.8027 |
| 1.887 | 0.0084 | 60 | 1.7948 |
| 1.7711 | 0.0112 | 80 | 1.7884 |
| 1.7809 | 0.0140 | 100 | 1.7881 |
| 1.8632 | 0.0168 | 120 | 1.7957 |
| 1.8436 | 0.0196 | 140 | 1.8012 |
| 1.8959 | 0.0224 | 160 | 1.7860 |
| 1.8644 | 0.0252 | 180 | 1.7912 |
| 1.8285 | 0.0280 | 200 | 1.7884 |
| 1.8769 | 0.0307 | 220 | 1.7982 |
| 1.8726 | 0.0335 | 240 | 1.8046 |
| 1.8227 | 0.0363 | 260 | 1.7954 |
| 1.8554 | 0.0391 | 280 | 1.7927 |
| 1.9006 | 0.0419 | 300 | 1.7952 |
| 1.769 | 0.0447 | 320 | 1.8006 |
| 1.8014 | 0.0475 | 340 | 1.7895 |
| 1.8772 | 0.0503 | 360 | 1.7966 |
| 1.7403 | 0.0531 | 380 | 1.7988 |
| 1.8945 | 0.0559 | 400 | 1.7979 |
| 1.8937 | 0.0587 | 420 | 1.7987 |
| 1.9235 | 0.0615 | 440 | 1.8044 |
| 1.8496 | 0.0643 | 460 | 1.7951 |
| 1.8778 | 0.0671 | 480 | 1.7974 |
| 1.8681 | 0.0699 | 500 | 1.8140 |
### Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1 |