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dimasik1987
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aefe3fcf-6199-45bf-a730-927b215687b8

PEFT
Safetensors
llama
axolotl
Generated from Trainer
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aefe3fcf-6199-45bf-a730-927b215687b8 / README.md
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metadata
library_name: peft
license: llama3
base_model: unsloth/llama-3-8b-Instruct
tags:
  - axolotl
  - generated_from_trainer
model-index:
  - name: aefe3fcf-6199-45bf-a730-927b215687b8
    results: []

Built with Axolotl

See axolotl config

axolotl version: 0.4.1

adapter: lora
base_model: unsloth/llama-3-8b-Instruct
bf16: auto
chat_template: llama3
dataset_prepared_path: null
datasets:
- data_files:
  - f6ddcca8cf4207ed_train_data.json
  ds_type: json
  format: custom
  path: /workspace/input_data/f6ddcca8cf4207ed_train_data.json
  type:
    field_input: old_contents
    field_instruction: subject
    field_output: new_contents
    format: '{instruction} {input}'
    no_input_format: '{instruction}'
    system_format: '{system}'
    system_prompt: ''
debug: null
deepspeed: null
device: cuda
early_stopping_patience: null
eval_max_new_tokens: 128
eval_table_size: null
evals_per_epoch: 4
flash_attention: false
fp16: null
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 4
gradient_checkpointing: true
group_by_length: false
hub_model_id: dimasik1987/aefe3fcf-6199-45bf-a730-927b215687b8
hub_repo: null
hub_strategy: checkpoint
hub_token: null
learning_rate: 0.0001
load_in_4bit: false
load_in_8bit: false
local_rank: null
logging_steps: 1
lora_alpha: 64
lora_dropout: 0.05
lora_fan_in_fan_out: null
lora_model_dir: null
lora_r: 32
lora_target_linear: true
lr_scheduler: cosine
max_memory:
  0: 70GiB
max_steps: 50
micro_batch_size: 2
mlflow_experiment_name: /tmp/f6ddcca8cf4207ed_train_data.json
model_type: AutoModelForCausalLM
num_epochs: 3
optimizer: adamw_torch
output_dir: miner_id_24
pad_to_sequence_len: true
resume_from_checkpoint: null
s2_attention: null
sample_packing: false
save_steps: 25
save_strategy: steps
sequence_len: 2028
strict: false
tf32: false
tokenizer_type: AutoTokenizer
torch_dtype: bfloat16
train_on_inputs: false
trust_remote_code: true
val_set_size: 0.05
wandb_entity: null
wandb_mode: online
wandb_name: aefe3fcf-6199-45bf-a730-927b215687b8
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: aefe3fcf-6199-45bf-a730-927b215687b8
warmup_steps: 10
weight_decay: 0.01
xformers_attention: null

aefe3fcf-6199-45bf-a730-927b215687b8

This model is a fine-tuned version of unsloth/llama-3-8b-Instruct on the None dataset. It achieves the following results on the evaluation set:

  • Loss: nan

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: 0.0001
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 8
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 10
  • training_steps: 50

Training results

Training Loss Epoch Step Validation Loss
0.0 0.0001 1 nan
0.0 0.0007 5 nan
0.0 0.0014 10 nan
0.0 0.0021 15 nan
0.0 0.0029 20 nan
0.0 0.0036 25 nan
0.0 0.0043 30 nan
0.0 0.0050 35 nan
0.0 0.0057 40 nan
0.0 0.0064 45 nan
0.0 0.0071 50 nan

Framework versions

  • PEFT 0.13.2
  • Transformers 4.46.0
  • Pytorch 2.5.0+cu124
  • Datasets 3.0.1
  • Tokenizers 0.20.1