File size: 1,236 Bytes
7e82af3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 |
base_model: mistralai/Mistral-7B-v0.1
model_type: MistralForCausalLM
tokenizer_type: LlamaTokenizer
is_mistral_derived_model: true
# multimodal pretrain
multimodal: true
mm_vision_tower: openai/clip-vit-large-patch14
tune_mm_mlp_adapter: true
mm_freeze_backbone: true
mm_vision_select_layer: -2
mm_projector_type: mlp2x_gelu
mm_image_folder: ./llava/
mm_use_im_patch_token: false
load_in_8bit: false
load_in_4bit: false
strict: false
datasets:
- path: ./data/blip_laion_cc_sbu_558k.json
dataset_prepared_path:
val_set_size: 0.0
output_dir: ./out
sequence_len: 2048
sample_packing: false
pad_to_sequence_len: true
wandb_project: axolotl-llava
wandb_entity: oaaic
wandb_watch:
wandb_run_id:
wandb_log_model:
gradient_accumulation_steps: 2
micro_batch_size: 64
num_epochs: 1
optimizer: adamw_torch
lr_scheduler: cosine
learning_rate: 0.002
train_on_inputs: false
group_by_length: false
bf16: true
fp16: false
tf32: false
gradient_checkpointing: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 10
eval_steps:
save_steps: 0.1
debug:
deepspeed: deepspeed/zero2.json
weight_decay: 0.0
fsdp:
fsdp_config:
special_tokens:
pad_token: "<unk>"
|