Hugging Face's logo

Abduull6771
/
mistral_instruct_generation

PEFT
TensorBoard
Safetensors
Generated from Trainer
Model card Files Metrics Community
mistral_instruct_generation / README.md
Abduull6771's picture
Abduull6771
Abduull6771/mistral-instruct-generation
7a3767d
preview code
|
raw
history blame contribute delete
1.86 kB
metadata
license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.1
model-index:
  - name: mistral_instruct_generation
    results: []

mistral_instruct_generation

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.6646

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

The following bitsandbytes quantization config was used during training:

  • quant_method: bitsandbytes
  • load_in_8bit: False
  • load_in_4bit: True
  • llm_int8_threshold: 6.0
  • llm_int8_skip_modules: None
  • llm_int8_enable_fp32_cpu_offload: False
  • llm_int8_has_fp16_weight: False
  • bnb_4bit_quant_type: nf4
  • bnb_4bit_use_double_quant: True
  • bnb_4bit_compute_dtype: bfloat16

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0002
  • 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: constant
  • lr_scheduler_warmup_steps: 0.03
  • training_steps: 10

Training results

Training Loss Epoch Step Validation Loss
No log 0.02 5 1.8385
1.923 0.04 10 1.6646

Framework versions

  • PEFT 0.7.0
  • Transformers 4.36.0
  • Pytorch 2.1.1+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0