metadata

base_model: ybelkada/falcon-7b-sharded-bf16
tags:
  - generated_from_trainer
model-index:
  - name: falcon-7b-sharded_finetuned_codealpaca_20k
    results: []
library_name: peft

falcon-7b-sharded_finetuned_codealpaca_20k

This model is a fine-tuned version of ybelkada/falcon-7b-sharded-bf16 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:

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: 0.0002
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
training_steps: 500

Training results

Framework versions

PEFT 0.4.0
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.13.0
Tokenizers 0.13.3