Edit model card

SoC-mistral-7b-instruct-v0.3-2408

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7686

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: 4
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_ratio: 0.3
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
2.6246 0.3656 100 2.3972
1.91 0.7313 200 1.7686

Framework versions

  • PEFT 0.11.2.dev0
  • Transformers 4.43.3
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
Downloads last month
3
Safetensors
Model size
3.87B params
Tensor type
F32
·
U8
·
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for BattleTag/SoC-mistral-7b-instruct-v0.3-2408

Adapter
(195)
this model