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dimasik1987/
74f5bf43-4a1b-44bb-9b95-6b5631ccfc3e

Name: 74f5bf43-4a1b-44bb-9b95-6b5631ccfc3e
Availability: InStock

generated_from_trainer

Orenguteng/Llama-3-8B-Lexi-Uncensored

adapter

llama3

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See axolotl config

axolotl version: 0.4.1

yaml

adapter: lora
base_model: Orenguteng/Llama-3-8B-Lexi-Uncensored
bf16: auto
chat_template: llama3
dataset_prepared_path: null
datasets:
- data_files:
  - 08d89b9226f6ebd3_train_data.json
  ds_type: json
  format: custom
  path: /workspace/input_data/08d89b9226f6ebd3_train_data.json
  type:
    field_input: "\u95A2\u9023"
    field_instruction: "\u666F\u6C17\u306E\u73FE\u72B6\u5224\u65AD"
    field_output: "\u8FFD\u52A0\u8AAC\u660E\u53CA\u3073\u5177\u4F53\u7684\u72B6\u6CC1\
      \u306E\u8AAC\u660E"
    format: '{instruction} {input}'
    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
flash_attention: false
fp16: true
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 8
gradient_checkpointing: true
group_by_length: false
hub_model_id: dimasik1987/74f5bf43-4a1b-44bb-9b95-6b5631ccfc3e
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: 74GiB
max_steps: 50
micro_batch_size: 2
mlflow_experiment_name: /tmp/08d89b9226f6ebd3_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: 2048
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: 74f5bf43-4a1b-44bb-9b95-6b5631ccfc3e
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: 74f5bf43-4a1b-44bb-9b95-6b5631ccfc3e
warmup_ratio: 0.05
weight_decay: 0.01
xformers_attention: true

74f5bf43-4a1b-44bb-9b95-6b5631ccfc3e

This model is a fine-tuned version of Orenguteng/Llama-3-8B-Lexi-Uncensored on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.2754

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: 2
training_steps: 50

Training results

Training Loss	Epoch	Step	Validation Loss
2.1998	0.0026	50	2.2754

Framework versions

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