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dimasik87/
494bdbb0-428a-4c85-81d6-7c8f47929e17

Name: 494bdbb0-428a-4c85-81d6-7c8f47929e17
Availability: InStock

generated_from_trainer

unsloth/Llama-3.2-3B-Instruct

adapter

llama3.2

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See axolotl config

axolotl version: 0.4.1

yaml

adapter: lora
base_model: unsloth/Llama-3.2-3B-Instruct
bf16: auto
chat_template: llama3
dataset_prepared_path: null
datasets:
- data_files:
  - 25a14c40069a7d26_train_data.json
  ds_type: json
  format: custom
  path: /workspace/input_data/25a14c40069a7d26_train_data.json
  type:
    field_instruction: prompt
    field_output: chosen
    format: '{instruction}'
    no_input_format: '{instruction}'
    system_format: '{system}'
    system_prompt: ''
debug: null
deepspeed: null
early_stopping_patience: null
eval_max_new_tokens: 128
eval_table_size: null
evals_per_epoch: 4
flash_attention: true
fp16: true
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 8
gradient_checkpointing: true
group_by_length: false
hub_model_id: dimasik87/494bdbb0-428a-4c85-81d6-7c8f47929e17
hub_repo: null
hub_strategy: checkpoint
hub_token: null
learning_rate: 0.0002
load_in_4bit: false
load_in_8bit: false
local_rank: null
logging_steps: 1
lora_alpha: 32
lora_dropout: 0.1
lora_fan_in_fan_out: null
lora_model_dir: null
lora_r: 16
lora_target_linear: true
lr_scheduler: cosine
max_memory:
  0: 70GiB
max_steps: 25
micro_batch_size: 2
mlflow_experiment_name: /tmp/25a14c40069a7d26_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: 5
save_strategy: steps
sequence_len: 2028
strict: false
tf32: false
tokenizer_type: AutoTokenizer
train_on_inputs: false
trust_remote_code: true
val_set_size: 0.05
wandb_entity: null
wandb_mode: online
wandb_name: 494bdbb0-428a-4c85-81d6-7c8f47929e17
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: 494bdbb0-428a-4c85-81d6-7c8f47929e17
warmup_steps: 10
weight_decay: 0.0
xformers_attention: null

494bdbb0-428a-4c85-81d6-7c8f47929e17

This model is a fine-tuned version of unsloth/Llama-3.2-3B-Instruct on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.7318

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: 0.0002
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
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: 25

Training results

Training Loss	Epoch	Step	Validation Loss
1.6903	0.0016	1	1.9127
1.9844	0.0048	3	1.9069
1.1598	0.0096	6	1.8537
1.7636	0.0145	9	1.8093
1.1831	0.0193	12	1.7787
1.3573	0.0241	15	1.7581
1.6057	0.0289	18	1.7417
1.0306	0.0337	21	1.7340
0.9909	0.0386	24	1.7318

Framework versions

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