Quantization made by Richard Erkhov.
gemma-2b-chat-ultra is a language model that is trained to act as AI assistant. It is a finetuned version of
google/gemma-2b that was trained using
SFTTrainer on publicly available dataset
HuggingFaceH4/deita-10k-v0-sft.
-
output_dir: peft-lora-model
-
overwrite_output_dir: True
-
do_train: False
-
do_eval: False
-
do_predict: False
-
evaluation_strategy: no
-
prediction_loss_only: False
-
per_device_train_batch_size: 2
-
per_device_eval_batch_size: None
-
per_gpu_train_batch_size: None
-
per_gpu_eval_batch_size: None
-
gradient_accumulation_steps: 4
-
eval_accumulation_steps: None
-
eval_delay: 0
-
learning_rate: 2e-05
-
weight_decay: 0.0
-
adam_beta1: 0.9
-
adam_beta2: 0.999
-
adam_epsilon: 1e-08
-
max_grad_norm: 0.3
-
num_train_epochs: 3
-
max_steps: -1
-
lr_scheduler_type: cosine
-
lr_scheduler_kwargs: {}
-
warmup_ratio: 0.1
-
warmup_steps: 0
-
log_level: passive
-
log_level_replica: warning
-
log_on_each_node: True
-
logging_dir: peft-lora-model/runs/Mar21_07-18-25_a518bf4a6403
-
logging_strategy: steps
-
logging_first_step: False
-
logging_steps: 10
-
logging_nan_inf_filter: True
-
save_strategy: epoch
-
save_steps: 500
-
save_total_limit: None
-
save_safetensors: True
-
save_on_each_node: False
-
save_only_model: False
-
no_cuda: False
-
use_cpu: False
-
use_mps_device: False
-
seed: 42
-
data_seed: None
-
jit_mode_eval: False
-
use_ipex: False
-
bf16: True
-
fp16: False
-
fp16_opt_level: O1
-
half_precision_backend: auto
-
bf16_full_eval: False
-
fp16_full_eval: False
-
tf32: None
-
local_rank: 0
-
ddp_backend: None
-
tpu_num_cores: None
-
tpu_metrics_debug: False
-
debug: []
-
dataloader_drop_last: False
-
eval_steps: None
-
dataloader_num_workers: 0
-
dataloader_prefetch_factor: None
-
past_index: -1
-
run_name: peft-lora-model
-
disable_tqdm: False
-
remove_unused_columns: True
-
label_names: None
-
load_best_model_at_end: False
-
metric_for_best_model: None
-
greater_is_better: None
-
ignore_data_skip: False
-
fsdp: []
-
fsdp_min_num_params: 0
-
fsdp_config: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
-
fsdp_transformer_layer_cls_to_wrap: None
-
accelerator_config: AcceleratorConfig(split_batches=False, dispatch_batches=None, even_batches=True, use_seedable_sampler=True)
-
deepspeed: None
-
label_smoothing_factor: 0.0
-
optim: adamw_torch_fused
-
optim_args: None
-
adafactor: False
-
group_by_length: False
-
length_column_name: length
-
report_to: ['tensorboard']
-
ddp_find_unused_parameters: None
-
ddp_bucket_cap_mb: None
-
ddp_broadcast_buffers: None
-
dataloader_pin_memory: True
-
dataloader_persistent_workers: False
-
skip_memory_metrics: True
-
use_legacy_prediction_loop: False
-
push_to_hub: False
-
resume_from_checkpoint: None
-
hub_model_id: None
-
hub_strategy: every_save
-
hub_token: None
-
hub_private_repo: False
-
hub_always_push: False
-
gradient_checkpointing: True
-
gradient_checkpointing_kwargs: {'use_reentrant': False}
-
include_inputs_for_metrics: False
-
fp16_backend: auto
-
push_to_hub_model_id: None
-
push_to_hub_organization: None
-
push_to_hub_token: None
-
mp_parameters:
-
auto_find_batch_size: False
-
full_determinism: False
-
torchdynamo: None
-
ray_scope: last
-
ddp_timeout: 1800
-
torch_compile: False
-
torch_compile_backend: None
-
torch_compile_mode: None
-
dispatch_batches: None
-
split_batches: None
-
include_tokens_per_second: False
-
include_num_input_tokens_seen: False
-
neftune_noise_alpha: None
-
distributed_state: Distributed environment: NO
Num processes: 1
Process index: 0
Local process index: 0
Device: cuda
-
_n_gpu: 1
-
__cached__setup_devices: cuda:0
-
deepspeed_plugin: None