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license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: mistralai/Mistral-7B-Instruct-v0.2
model-index:
- name: Mixtral_SIG_v2
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. -->
# Mixtral_SIG_v2
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6608
## 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: 2.5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.03
- training_steps: 300
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.618 | 0.34 | 10 | 2.1689 |
| 1.5656 | 0.69 | 20 | 1.6442 |
| 1.2846 | 1.03 | 30 | 1.4577 |
| 1.144 | 1.38 | 40 | 1.3486 |
| 1.0455 | 1.72 | 50 | 1.2648 |
| 1.0073 | 2.07 | 60 | 1.1995 |
| 0.951 | 2.41 | 70 | 1.1439 |
| 0.9218 | 2.76 | 80 | 1.0959 |
| 0.8527 | 3.1 | 90 | 1.0501 |
| 0.8351 | 3.45 | 100 | 0.9564 |
| 0.7632 | 3.79 | 110 | 0.9155 |
| 0.697 | 4.14 | 120 | 0.8449 |
| 0.6341 | 4.48 | 130 | 0.7953 |
| 0.6212 | 4.83 | 140 | 0.7716 |
| 0.5881 | 5.17 | 150 | 0.7591 |
| 0.5804 | 5.52 | 160 | 0.7433 |
| 0.5694 | 5.86 | 170 | 0.7309 |
| 0.5537 | 6.21 | 180 | 0.7210 |
| 0.5466 | 6.55 | 190 | 0.7129 |
| 0.5272 | 6.9 | 200 | 0.7023 |
| 0.5106 | 7.24 | 210 | 0.6936 |
| 0.5225 | 7.59 | 220 | 0.6842 |
| 0.5062 | 7.93 | 230 | 0.6783 |
| 0.5003 | 8.28 | 240 | 0.6759 |
| 0.4931 | 8.62 | 250 | 0.6712 |
| 0.4828 | 8.97 | 260 | 0.6664 |
| 0.4642 | 9.31 | 270 | 0.6641 |
| 0.5037 | 9.66 | 280 | 0.6616 |
| 0.4674 | 10.0 | 290 | 0.6607 |
| 0.462 | 10.34 | 300 | 0.6608 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.37.2
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.1 |