Qwen2.5-14B-Instruct_36619497 / axolotl_config.yaml
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adapter: lora
base_model: Qwen/Qwen2.5-14B-Instruct
batch_size: 64
bf16: true
chat_template: tokenizer_default_fallback_alpaca
datasets:
- format: custom
path: prithivMLmods/Song-Catalogue-Long-Thought
type:
field_input: song
field_instruction: artist
field_output: link
format: '{instruction} {input}'
no_input_format: '{instruction}'
system_format: '{system}'
system_prompt: ''
device_map: auto
eval_sample_packing: false
eval_steps: 0.1
flash_attention: true
gradient_checkpointing: true
group_by_length: true
hub_model_id: SystemAdmin123/Qwen2.5-14B-Instruct_36619497
hub_strategy: checkpoint
learning_rate: 0.0001
logging_steps: 10
lora_alpha: 256
lora_dropout: 0.1
lora_r: 128
lora_target_linear: true
lr_scheduler: cosine
max_steps: 1600.0
micro_batch_size: 1
model_type: AutoModelForCausalLM
num_epochs: 10000
optimizer: adamw_bnb_8bit
output_dir: /root/.sn56/axolotl/tmp/Qwen2.5-14B-Instruct_36619497
pad_to_sequence_len: true
resize_token_embeddings_to_32x: false
sample_packing: true
save_steps: 40
save_total_limit: 1
sequence_len: 2048
tokenizer_type: Qwen2TokenizerFast
torch_dtype: bf16
training_args_kwargs:
disable_tqdm: true
hub_private_repo: true
save_only_model: true
trust_remote_code: true
val_set_size: 0.01
wandb_entity: ''
wandb_mode: online
wandb_name: Qwen/Qwen2.5-14B-Instruct-prithivMLmods/Song-Catalogue-Long-Thought
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: default
warmup_ratio: 0.05