Instructions to use HideIron/tiny-aya-global-sql-selfheal-bco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HideIron/tiny-aya-global-sql-selfheal-bco with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("CohereLabs/tiny-aya-global") model = PeftModel.from_pretrained(base_model, "HideIron/tiny-aya-global-sql-selfheal-bco") - Notebooks
- Google Colab
- Kaggle
Download bco_config.yaml from HideIron/tiny-aya-global-sql-selfheal-bco: direct link, hf CLI and curl.
- Browser
- Download file 3.15 kB
-
https://huggingface.co/HideIron/tiny-aya-global-sql-selfheal-bco/resolve/main/bco_config.yaml
- Command line
-
hf download hf://HideIron/tiny-aya-global-sql-selfheal-bco/bco_config.yaml
-
curl -L -o bco_config.yaml https://huggingface.co/HideIron/tiny-aya-global-sql-selfheal-bco/resolve/main/bco_config.yaml
3.15 kB
| accelerator_config: | |
| dispatch_batches: null | |
| even_batches: true | |
| gradient_accumulation_kwargs: null | |
| non_blocking: false | |
| split_batches: false | |
| use_seedable_sampler: true | |
| activation_checkpointing: true | |
| activation_checkpointing_kwargs: null | |
| adam_beta1: 0.9 | |
| adam_beta2: 0.999 | |
| adam_epsilon: 1.0e-08 | |
| auto_find_batch_size: false | |
| average_tokens_across_devices: true | |
| batch_eval_metrics: false | |
| beta: 0.1 | |
| bf16: true | |
| bf16_full_eval: false | |
| data_seed: null | |
| dataloader_drop_last: false | |
| dataloader_in_order: true | |
| dataloader_multiprocessing_context: null | |
| dataloader_num_workers: 0 | |
| dataloader_persistent_workers: false | |
| dataloader_pin_memory: true | |
| dataloader_prefetch_factor: null | |
| dataset_num_proc: null | |
| ddp_backend: null | |
| ddp_broadcast_buffers: null | |
| ddp_bucket_cap_mb: null | |
| ddp_find_unused_parameters: null | |
| ddp_static_graph: null | |
| ddp_timeout: 1800 | |
| debug: [] | |
| deepspeed: null | |
| disable_dropout: true | |
| disable_tqdm: false | |
| do_eval: false | |
| do_predict: false | |
| do_train: false | |
| enable_jit_checkpoint: false | |
| eval_accumulation_steps: null | |
| eval_delay: 0 | |
| eval_do_concat_batches: true | |
| eval_on_start: false | |
| eval_steps: null | |
| eval_strategy: 'no' | |
| eval_use_gather_object: false | |
| fp16: false | |
| fp16_full_eval: false | |
| fsdp: null | |
| fsdp_config: null | |
| full_determinism: false | |
| generate_during_eval: false | |
| gradient_accumulation_steps: 16 | |
| gradient_checkpointing: true | |
| gradient_checkpointing_kwargs: null | |
| greater_is_better: null | |
| hub_always_push: false | |
| hub_model_id: null | |
| hub_private_repo: null | |
| hub_revision: null | |
| hub_strategy: every_save | |
| hub_token: <HUB_TOKEN> | |
| ignore_data_skip: false | |
| include_for_metrics: [] | |
| include_num_input_tokens_seen: 'no' | |
| is_encoder_decoder: null | |
| label_names: null | |
| label_smoothing_factor: 0.0 | |
| learning_rate: 1.0e-05 | |
| length_column_name: length | |
| liger_kernel_config: null | |
| load_best_model_at_end: false | |
| local_rank: -1 | |
| log_level: passive | |
| log_level_replica: warning | |
| log_on_each_node: true | |
| logging_first_step: false | |
| logging_nan_inf_filter: true | |
| logging_steps: 2 | |
| logging_strategy: steps | |
| lr_scheduler_kwargs: null | |
| lr_scheduler_type: linear | |
| max_completion_length: null | |
| max_density_ratio: 10.0 | |
| max_grad_norm: 1.0 | |
| max_length: 2176 | |
| max_steps: -1 | |
| metric_for_best_model: null | |
| min_density_ratio: 0.5 | |
| model_init_kwargs: null | |
| neftune_noise_alpha: null | |
| num_train_epochs: 3.0 | |
| optim: adamw_torch_fused | |
| optim_args: null | |
| optim_target_modules: null | |
| output_dir: /tmp/out/adapter | |
| parallelism_config: null | |
| per_device_eval_batch_size: 2 | |
| per_device_train_batch_size: 1 | |
| precompute_ref_log_probs: false | |
| prediction_loss_only: false | |
| project: huggingface | |
| prompt_sample_size: 1024 | |
| push_to_hub: false | |
| remove_unused_columns: false | |
| report_to: [] | |
| restore_callback_states_from_checkpoint: false | |
| resume_from_checkpoint: null | |
| run_name: null | |
| save_on_each_node: false | |
| save_only_model: false | |
| save_steps: 500 | |
| save_strategy: 'no' | |
| save_total_limit: null | |
| seed: 42 | |
| skip_memory_metrics: true | |
| tf32: null | |
| torch_compile: false | |
| torch_compile_backend: null | |
| torch_compile_mode: null | |
| torch_empty_cache_steps: null | |
| trackio_bucket_id: null | |
| trackio_space_id: null | |
| trackio_static_space_id: null | |
| train_sampling_strategy: random | |
| trust_remote_code: false | |
| use_cache: false | |
| use_cpu: false | |
| use_liger_kernel: false | |
| warmup_steps: 0 | |
| weight_decay: 0.0 | |