Hugging Face's logo

bbytxt
/
76fe64ac-a9e7-446d-9942-b8aaf7ec897b

PEFT
Safetensors
llama
axolotl
Generated from Trainer
Model card Files Community
76fe64ac-a9e7-446d-9942-b8aaf7ec897b / README.md
bbytxt's picture
bbytxt
End of training
b779d9e verified
preview code
|
raw
history blame contribute delete
3.63 kB
metadata
library_name: peft
license: llama3.2
base_model: unsloth/Llama-3.2-3B
tags:
  - axolotl
  - generated_from_trainer
model-index:
  - name: 76fe64ac-a9e7-446d-9942-b8aaf7ec897b
    results: []

Built with Axolotl

See axolotl config

axolotl version: 0.4.1

adapter: lora
base_model: unsloth/Llama-3.2-3B
bf16: true
chat_template: llama3
dataset_prepared_path: null
datasets:
- data_files:
  - 1e7b9c404170ea58_train_data.json
  ds_type: json
  field: text
  path: /workspace/input_data/1e7b9c404170ea58_train_data.json
  type: completion
debug: null
deepspeed: null
device_map: auto
early_stopping_patience: 1
eval_max_new_tokens: 128
eval_steps: 25
eval_table_size: null
evals_per_epoch: null
flash_attention: false
fp16: false
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 8
gradient_checkpointing: true
group_by_length: false
hub_model_id: bbytxt/76fe64ac-a9e7-446d-9942-b8aaf7ec897b
hub_repo: null
hub_strategy: checkpoint
hub_token: null
learning_rate: 0.0004
load_in_4bit: false
load_in_8bit: false
local_rank: null
logging_steps: 1
lora_alpha: 128
lora_dropout: 0.05
lora_fan_in_fan_out: null
lora_model_dir: null
lora_r: 64
lora_target_linear: true
lr_scheduler: cosine
max_memory:
  0: 70GB
max_steps: 50
micro_batch_size: 6
mlflow_experiment_name: /tmp/1e7b9c404170ea58_train_data.json
model_type: AutoModelForCausalLM
num_epochs: 3
optimizer: adamw_bnb_8bit
output_dir: miner_id_24
pad_to_sequence_len: true
resume_from_checkpoint: null
s2_attention: null
sample_packing: false
save_steps: 25
saves_per_epoch: null
sequence_len: 2048
strict: false
tf32: true
tokenizer_type: AutoTokenizer
train_on_inputs: false
trust_remote_code: true
val_set_size: 0.05
wandb_entity: null
wandb_mode: online
wandb_name: 76fe64ac-a9e7-446d-9942-b8aaf7ec897b
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: 76fe64ac-a9e7-446d-9942-b8aaf7ec897b
warmup_steps: 10
weight_decay: 0.0
xformers_attention: null

76fe64ac-a9e7-446d-9942-b8aaf7ec897b

This model is a fine-tuned version of unsloth/Llama-3.2-3B 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: 0.0004
  • train_batch_size: 6
  • eval_batch_size: 6
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 48
  • optimizer: Use OptimizerNames.ADAMW_BNB 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 0.0065 1 nan
0.0 0.1626 25 nan
0.0 0.3252 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