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prxy5605/
01399390-306a-4a33-99ac-5fb9d00e124e

Name: 01399390-306a-4a33-99ac-5fb9d00e124e
Availability: InStock

generated_from_trainer

princeton-nlp/Sheared-LLaMA-1.3B

adapter

apache-2.0

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See axolotl config

axolotl version: 0.4.1

yaml

adapter: lora
base_model: princeton-nlp/Sheared-LLaMA-1.3B
bf16: auto
chat_template: llama3
dataset_prepared_path: null
datasets:
- data_files:
  - 258bb47619bd5694_train_data.json
  ds_type: json
  format: custom
  path: /workspace/input_data/258bb47619bd5694_train_data.json
  type:
    field_instruction: question
    field_output: query
    format: '{instruction}'
    no_input_format: '{instruction}'
    system_format: '{system}'
    system_prompt: ''
debug: null
deepspeed: null
device_map: auto
do_eval: true
early_stopping_patience: null
eval_batch_size: 2
eval_max_new_tokens: 128
eval_steps: null
eval_table_size: null
evals_per_epoch: 4
flash_attention: true
fp16: false
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 4
gradient_checkpointing: false
group_by_length: true
hub_model_id: prxy5605/01399390-306a-4a33-99ac-5fb9d00e124e
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: 5
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_grad_norm: 1.0
max_memory:
  0: 75GB
max_steps: 200
micro_batch_size: 4
mlflow_experiment_name: /tmp/258bb47619bd5694_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: null
saves_per_epoch: null
sequence_len: 1024
special_tokens:
  pad_token: </s>
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: 58b1083b-1d37-4999-838a-c0379c3641f4
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: 58b1083b-1d37-4999-838a-c0379c3641f4
warmup_steps: 10
weight_decay: 0.0
xformers_attention: null

01399390-306a-4a33-99ac-5fb9d00e124e

This model is a fine-tuned version of princeton-nlp/Sheared-LLaMA-1.3B on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5191

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: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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: 200

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0021	1	2.9251
0.8453	0.0365	17	1.1805
0.7867	0.0731	34	0.9028
0.6822	0.1096	51	1.0697
0.5909	0.1462	68	0.8148
0.6801	0.1827	85	0.6890
0.5619	0.2192	102	0.6714
0.553	0.2558	119	0.6395
0.5756	0.2923	136	0.5810
0.5915	0.3289	153	0.5498
0.483	0.3654	170	0.5307
0.5054	0.4019	187	0.5191

Framework versions

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