ModelHub XC 4d0ad11821 初始化项目,由ModelHub XC社区提供模型
Model: mncai/Mistral-7B-LaAdMoAl-Marcoroni-merged-Qn-100-ep4-lr5
Source: Original Platform
2026-05-24 02:25:12 +08:00

base_model, tags, model-index
base_model tags model-index
MNC-LLM/Mistral-7B-NWS-u2k-eng-cot-ep4-lr1e-05
generated_from_trainer
name results
batch1_epochs4_lr1e-05_paged_adamw_32bit_cosine_length2048_warmup_0.05_max_grad1.0_grad_accu16

batch1_epochs4_lr1e-05_paged_adamw_32bit_cosine_length2048_warmup_0.05_max_grad1.0_grad_accu16

This model is a fine-tuned version of MNC-LLM/Mistral-7B-NWS-u2k-eng-cot-ep4-lr1e-05 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
Description
Model synced from source: mncai/Mistral-7B-LaAdMoAl-Marcoroni-merged-Qn-100-ep4-lr5
Readme 510 KiB