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model_args:
attn_implementation: flash_attention_2
bnb_4bit_quant_type: nf4
load_in_4bit: false
load_in_8bit: false
lora_alpha: 32
lora_dropout: 0.05
lora_modules_to_save: null
lora_r: 16
lora_target_modules: null
lora_task_type: CAUSAL_LM
model_name_or_path: Qwen/Qwen2.5-Coder-7B-Instruct
model_revision: main
torch_dtype: bfloat16
trust_remote_code: false
use_bnb_nested_quant: false
use_dora: false
use_peft: false
use_rslora: false
script_args:
cosine_max_len: 1000
cosine_max_value_correct: 1.0
cosine_max_value_wrong: -0.5
cosine_min_value_correct: 0.5
cosine_min_value_wrong: 0.0
dataset_config: null
dataset_name: simone-papicchio/bird
dataset_test_split: test
dataset_train_split: train
gradient_checkpointing_use_reentrant: false
ignore_bias_buffers: false
reward_funcs:
- qatch_metrics
- format
- tag_count
training_args:
_n_gpu: 1
accelerator_config:
dispatch_batches: null
even_batches: true
gradient_accumulation_kwargs: null
non_blocking: false
split_batches: false
use_configured_state: false
use_seedable_sampler: true
adafactor: false
adam_beta1: 0.9
adam_beta2: 0.999
adam_epsilon: 1.0e-08
add_system_prompt: true
add_validation: false
auto_find_batch_size: false
average_tokens_across_devices: false
base_db_path: data/bird_train/train_databases
batch_eval_metrics: false
benchmarks: []
beta: 0.04
bf16: true
bf16_full_eval: false
cache_implementation: null
cached_file_path: /workspaces/deep_thinking/cache_target_sql2execution_BIRD_train.pkl
callbacks: {}
chat_template: null
data_seed: null
dataloader_drop_last: false
dataloader_num_workers: 0
dataloader_persistent_workers: false
dataloader_pin_memory: true
dataloader_prefetch_factor: null
dataset_test_split_name: validation
ddp_backend: null
ddp_broadcast_buffers: null
ddp_bucket_cap_mb: null
ddp_find_unused_parameters: null
ddp_timeout: 1800
debug: []
deepspeed: null
disable_tqdm: false
do_eval: false
do_predict: false
do_train: false
ds3_gather_for_generation: true
epsilon: 0.2
epsilon_high: null
eval_accumulation_steps: null
eval_delay: 0
eval_do_concat_batches: true
eval_on_start: false
eval_steps: null
eval_strategy: !!python/object/apply:transformers.trainer_utils.IntervalStrategy
- 'no'
eval_use_gather_object: false
fp16: false
fp16_backend: auto
fp16_full_eval: false
fp16_opt_level: O1
fsdp: []
fsdp_config:
min_num_params: 0
xla: false
xla_fsdp_grad_ckpt: false
xla_fsdp_v2: false
fsdp_min_num_params: 0
fsdp_transformer_layer_cls_to_wrap: null
full_determinism: false
gradient_accumulation_steps: 16
gradient_checkpointing: true
gradient_checkpointing_kwargs:
use_reentrant: false
greater_is_better: false
group_by_length: false
half_precision_backend: auto
hub_always_push: false
hub_model_id: Qwen2.5-1.5B-Open-R1-GRPO
hub_model_revision: main
hub_private_repo: null
hub_strategy: !!python/object/apply:transformers.trainer_utils.HubStrategy
- every_save
hub_token: null
ignore_data_skip: false
include_for_metrics: []
include_inputs_for_metrics: false
include_num_input_tokens_seen: false
include_tokens_per_second: false
jit_mode_eval: false
label_names: null
label_smoothing_factor: 0.0
learning_rate: 1.0e-06
length_column_name: length
load_best_model_at_end: false
local_rank: 0
log_completions: true
log_level: info
log_level_replica: warning
log_on_each_node: true
logging_dir: ./.tensorboard_logging/f5655cd2/
logging_first_step: true
logging_nan_inf_filter: true
logging_steps: 5
logging_strategy: !!python/object/apply:transformers.trainer_utils.IntervalStrategy
- steps
lr_scheduler_kwargs: {}
lr_scheduler_type: !!python/object/apply:transformers.trainer_utils.SchedulerType
- constant_with_warmup
max_completion_length: 4096
max_grad_norm: 0.2
max_prompt_length: 2048
max_steps: -1
metric_for_best_model: loss
min_p: null
model_init_kwargs: '{''revision'': ''main'', ''trust_remote_code'': False, ''attn_implementation'':
''flash_attention_2'', ''torch_dtype'': torch.bfloat16, ''use_cache'': False}'
mp_parameters: ''
neftune_noise_alpha: null
no_cuda: false
num_completions_to_print: 1
num_generations: 16
num_iterations: 1
num_train_epochs: 1.0
optim: !!python/object/apply:transformers.training_args.OptimizerNames
- adamw_8bit
optim_args: null
optim_target_modules: null
output_dir: base_models/grpo/Qwen/Qwen2.5-Coder-7B-Instruct/bs_256_ml_4096_gen_16_f5655cd2_RL
overwrite_hub_revision: false
overwrite_output_dir: false
past_index: -1
per_device_eval_batch_size: 8
per_device_train_batch_size: 8
per_gpu_eval_batch_size: null
per_gpu_train_batch_size: null
prediction_loss_only: false
prompt_name: text2sql_model_grpo
push_to_hub: false
push_to_hub_model_id: null
push_to_hub_organization: null
push_to_hub_revision: false
push_to_hub_token: null
ray_scope: last
ref_model_mixup_alpha: 0.6
ref_model_sync_steps: 512
remove_unused_columns: false
repetition_penalty: 1.0
report_to:
- tensorboard
- wandb
restore_callback_states_from_checkpoint: false
resume_from_checkpoint: 'True'
reward_weights:
- 0.85
- 0.1
- 0.05
run_name: exp-9-7B-QATCH
save_on_each_node: false
save_only_model: false
save_safetensors: true
save_steps: 0.1
save_strategy: !!python/object/apply:transformers.trainer_utils.SaveStrategy
- steps
save_total_limit: 3
scale_rewards: true
seed: 42
skip_memory_metrics: true
stratified_by_complexity: false
sync_ref_model: false
temperature: 0.7
tf32: null
top_k: 50
top_p: 1.0
torch_compile: false
torch_compile_backend: null
torch_compile_mode: null
torch_empty_cache_steps: null
torchdynamo: null
tp_size: 0
tpu_metrics_debug: false
tpu_num_cores: null
use_cpu: false
use_ipex: false
use_legacy_prediction_loop: false
use_liger_kernel: false
use_liger_loss: false
use_mps_device: false
use_vllm: true
validation_split: 0.2
vllm_device: auto
vllm_dtype: bfloat16
vllm_enable_prefix_caching: null
vllm_gpu_memory_utilization: 0.7
vllm_guided_decoding_regex: null
vllm_max_model_len: null
vllm_server_host: 127.0.0.1
vllm_server_port: 24879
vllm_server_timeout: 120.0
wandb_log_unique_prompts: true
warmup_ratio: 0.1
warmup_steps: 0
weight_decay: 0.0
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