license: apache-2.0
tags:
- generated_from_trainer
- google/gemma
- PyTorch
- transformers
- trl
- peft
- tensorboard
base_model: google/gemma-2b
widget:
- example_title: Pirate!
messages:
- role: system
content: You are a pirate chatbot who always responds with Arr!
- role: user
content: There's a llama on my lawn, how can I get rid of him?
output:
text: >-
Arr! 'Tis a puzzlin' matter, me hearty! A llama on yer lawn be a rare
sight, but I've got a plan that might help ye get rid of 'im. Ye'll need
to gather some carrots and hay, and then lure the llama away with the
promise of a tasty treat. Once he's gone, ye can clean up yer lawn and
enjoy the peace and quiet once again. But beware, me hearty, for there
may be more llamas where that one came from! Arr!
model-index:
- name: gemma-2b-chat
results: []
datasets:
- HuggingFaceH4/deita-10k-v0-sft
language:
- en
pipeline_tag: text-generation
Model Card for gemma-2b-chat:
gemma-2b-chat is a language model that is trained to act as helpful assistant. It is a finetuned version of google/gemma-2b that was trained using SFTTrainer
on publicly available dataset
HuggingFaceH4/deita-10k-v0-sft.
Training Procedure:
The training code used to create this model was generated by Menouar/LLM-FineTuning-Notebook-Generator.
Training hyperparameters
The following hyperparameters were used during the training:
output_dir: temp_gemma-2b-chat
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: 3
per_device_eval_batch_size: 8
per_gpu_train_batch_size: None
per_gpu_eval_batch_size: None
gradient_accumulation_steps: 2
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: 1
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: temp_gemma-2b-chat/runs/Mar11_17-14-25_f4965e0005f4
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: temp_gemma-2b-chat
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