Upload config.yml with huggingface_hub

config.yml

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+base_model: mistralai/Mistral-7B-v0.1
+# optionally might have model_type or tokenizer_type
+model_type: MistralForCausalLM
+tokenizer_type: LlamaTokenizer
+# Automatically upload checkpoint and final model to HF
+hub_model_id: AiAF/UFOs-Pretraining-V1
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: AiAF/pretraining.jsonl
+    type: completion
+
+dataset_prepared_path:
+val_set_size: 0.05
+output_dir: ./outputs/out
+
+sequence_len: 8192
+sample_packing: true
+pad_to_sequence_len: true
+eval_sample_packing: false
+
+max_steps: 100000
+
+wandb_project: "UFO_LLM_Pretraining"
+wandb_entity:
+wandb_watch: "all"
+wandb_name: "UFO_LLM_Pretraining-V1.0"
+wandb_log_model: "false"
+
+gradient_accumulation_steps: 4
+micro_batch_size: 2
+num_epochs: 4
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.000005
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_steps: 10
+evals_per_epoch: 4
+eval_table_size:
+eval_max_new_tokens: 128
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens: