---
base_model: HachiML/Mists-7B-v01-projector-trained
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Mists-7B-v01-single-turn
  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/aun0jon1)
# Mists-7B-v01-single-turn

This model is a fine-tuned version of [HachiML/Mists-7B-v01-projector-trained](https://huggingface.co/HachiML/Mists-7B-v01-projector-trained) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4228

## 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: 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_ratio: 0.05
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.6859        | 0.0420 | 400  | 1.1048          |
| 0.7572        | 0.0841 | 800  | 0.8318          |
| 0.664         | 0.1261 | 1200 | 0.7295          |
| 0.6135        | 0.1682 | 1600 | 0.6526          |
| 0.5707        | 0.2102 | 2000 | 0.6007          |
| 0.5506        | 0.2523 | 2400 | 0.5653          |
| 0.5255        | 0.2943 | 2800 | 0.5434          |
| 0.5106        | 0.3363 | 3200 | 0.5219          |
| 0.4909        | 0.3784 | 3600 | 0.5045          |
| 0.4773        | 0.4204 | 4000 | 0.4874          |
| 0.4664        | 0.4625 | 4400 | 0.4762          |
| 0.4555        | 0.5045 | 4800 | 0.4663          |
| 0.4516        | 0.5466 | 5200 | 0.4560          |
| 0.4466        | 0.5886 | 5600 | 0.4490          |
| 0.4403        | 0.6306 | 6000 | 0.4433          |
| 0.4323        | 0.6727 | 6400 | 0.4383          |
| 0.4337        | 0.7147 | 6800 | 0.4324          |
| 0.4214        | 0.7568 | 7200 | 0.4297          |
| 0.4153        | 0.7988 | 7600 | 0.4269          |
| 0.414         | 0.8409 | 8000 | 0.4250          |
| 0.4187        | 0.8829 | 8400 | 0.4238          |
| 0.418         | 0.9250 | 8800 | 0.4230          |
| 0.4126        | 0.9670 | 9200 | 0.4228          |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.0.1
- Datasets 2.20.0
- Tokenizers 0.19.1