someone asked for the training config

axolotl_config.yml

@@ -0,0 +1,88 @@
+base_model: Fizzarolli/phi3-4x4b-uninitialized
+model_type: MixtralForCausalLM
+tokenizer_type: AutoTokenizer  # PreTrainedTokenizerFast
+
+load_in_8bit: false
+load_in_4bit: true
+strict: false
+
+datasets:
+  - path: NeelNanda/pile-10k
+    type: completion
+    field: text
+  - path: BEE-spoke-data/gutenberg-en-v1-clean
+    type: completion
+    field: text
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.05
+output_dir: ./lora-out
+
+adapter: qlora
+lora_model_dir:
+
+sequence_len: 4072
+sample_packing: true
+pad_to_sequence_len: true
+
+lora_r: 32
+lora_alpha: 64
+lora_dropout: 0.05
+lora_target_modules:
+    - k_proj
+    - q_proj
+    - v_proj
+    - o_proj
+lora_target_linear: true
+lora_fan_in_fan_out:
+
+wandb_project: phixtral3
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+
+gradient_accumulation_steps: 4
+micro_batch_size: 6
+num_epochs: 1
+optimizer: adamw_torch
+lr_scheduler: cosine
+learning_rate: 0.000001
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_steps: 10
+evals_per_epoch: 0
+eval_table_size:
+saves_per_epoch: 20
+debug:
+fsdp:
+  - full_shard
+  - auto_wrap
+fsdp_config:
+  fsdp_limit_all_gathers: true
+  fsdp_sync_module_states: true
+  fsdp_offload_params: true
+  fsdp_use_orig_params: false
+  fsdp_cpu_ram_efficient_loading: true
+  fsdp_transformer_layer_cls_to_wrap: MixtralSparseMoeBlock
+  fsdp_state_dict_type: FULL_STATE_DICT
+  fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
+  fsdp_sharding_strategy: FULL_SHARD
+  fsdp_forward_prefetch: false
+  fsdp_backward_prefetch: BACKWARD_PRE
+weight_decay: 0.0
+special_tokens: