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---
base_model: HachiML/Mists-7B-v01-simple-projector-trained
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Mists-7B-v01-simpleQA
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. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/siseikatu8/huggingface/runs/ttzci7jp)
# Mists-7B-v01-simpleQA
This model is a fine-tuned version of [HachiML/Mists-7B-v01-simple-projector-trained](https://huggingface.co/HachiML/Mists-7B-v01-simple-projector-trained) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0972
## 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: 2e-05
- train_batch_size: 128
- 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_ratio: 0.05
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.1811 | 0.0888 | 50 | 5.1410 |
| 1.2662 | 0.1776 | 100 | 4.0209 |
| 0.5676 | 0.2664 | 150 | 3.6247 |
| 0.6122 | 0.3552 | 200 | 2.5723 |
| 0.3855 | 0.4440 | 250 | 1.8618 |
| 0.5471 | 0.5329 | 300 | 1.5969 |
| 0.5238 | 0.6217 | 350 | 0.9045 |
| 0.3799 | 0.7105 | 400 | 0.5475 |
| 0.2406 | 0.7993 | 450 | 0.1614 |
| 0.1381 | 0.8881 | 500 | 0.1055 |
| 0.0992 | 0.9769 | 550 | 0.0972 |
### Framework versions
- Transformers 4.42.3
- Pytorch 2.0.1
- Datasets 2.20.0
- Tokenizers 0.19.1
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