metadata

license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
  - trl
  - dpo
  - generated_from_trainer
model-index:
  - name: mistral_platypus_dpo
    results: []
library_name: peft

mistral_platypus_dpo

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.

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: False
bnb_4bit_compute_dtype: float16

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0005
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
training_steps: 1000

Training results

Framework versions

PEFT 0.5.0
Transformers 4.37.1
Pytorch 2.2.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2