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---
base_model: HachiML/Mists-7B-v01-not-trained
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Mists-7B-v01-projector-trained
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/2vf2q5nm)
# Mists-7B-v01-projector-trained
This model is a fine-tuned version of [HachiML/Mists-7B-v01-not-trained](https://huggingface.co/HachiML/Mists-7B-v01-not-trained) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5989
## 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: 0.002
- 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: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.8704 | 0.0526 | 2000 | 0.7797 |
| 0.7321 | 0.1051 | 4000 | 0.7205 |
| 0.7002 | 0.1577 | 6000 | 0.6992 |
| 0.6735 | 0.2102 | 8000 | 0.6755 |
| 0.6644 | 0.2628 | 10000 | 0.6625 |
| 0.6562 | 0.3153 | 12000 | 0.6539 |
| 0.6512 | 0.3679 | 14000 | 0.6473 |
| 0.638 | 0.4205 | 16000 | 0.6394 |
| 0.6266 | 0.4730 | 18000 | 0.6325 |
| 0.627 | 0.5256 | 20000 | 0.6278 |
| 0.6215 | 0.5781 | 22000 | 0.6241 |
| 0.6192 | 0.6307 | 24000 | 0.6199 |
| 0.6127 | 0.6832 | 26000 | 0.6163 |
| 0.6121 | 0.7358 | 28000 | 0.6131 |
| 0.6078 | 0.7884 | 30000 | 0.6089 |
| 0.5986 | 0.8409 | 32000 | 0.6058 |
| 0.6011 | 0.8935 | 34000 | 0.6027 |
| 0.5934 | 0.9460 | 36000 | 0.6005 |
| 0.589 | 0.9986 | 38000 | 0.5989 |
### Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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