---
license: apache-2.0
base_model: mncai/Mistral-7B-Instruct-v0.2-NWS-KoOpen-5k-ep4-lr5-len2500
tags:
- generated_from_trainer
model-index:
- name: batch1_epochs4_lr1e-05_paged_adamw_32bit_cosine_length2500_warmup_0.05_max_grad1.0_grad_accu16
  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. -->

# batch1_epochs4_lr1e-05_paged_adamw_32bit_cosine_length2500_warmup_0.05_max_grad1.0_grad_accu16

This model is a fine-tuned version of [mncai/Mistral-7B-Instruct-v0.2-NWS-KoOpen-5k-ep4-lr5-len2500](https://huggingface.co/mncai/Mistral-7B-Instruct-v0.2-NWS-KoOpen-5k-ep4-lr5-len2500) on the None dataset.

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 4

### Training results



### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.1+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0