Configs / magnum.yml
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Update magnum.yml
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base_model: NewEden/Hamanasu-KTO-V2
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer
load_in_8bit: false
load_in_4bit: false
strict: false
plugins:
- axolotl.integrations.liger.LigerPlugin
- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
liger_rope: true
liger_rms_norm: true
liger_layer_norm: true
liger_glu_activation: true
liger_fused_linear_cross_entropy: false
cut_cross_entropy: true
datasets:
- path: PocketDoc/Dans-Personamaxx-Logs
type: dan-chat-advanced
- path: anthracite-org/kalo-opus-instruct-22k-no-refusal
type: dan-chat-advanced
- path: lodrick-the-lafted/kalo-opus-instruct-3k-filtered
type: dan-chat-advanced
- path: anthracite-org/nopm_claude_writing_fixed
type: dan-chat-advanced
- path: anthracite-org/kalo_opus_misc_240827
type: dan-chat-advanced
- path: anthracite-org/kalo_misc_part2
type: dan-chat-advanced
- path: NewEden/Claude-Instruct-5K
type: dan-chat-advanced
- path: NewEden/Claude-Instruct-2.7K
type: dan-chat-advanced
val_set_size: 0.01
output_dir: ./outputs/out
adapter:
lora_r:
lora_alpha:
lora_dropout:
lora_target_linear:
sequence_len: 32768
sample_packing: true
eval_sample_packing: false
pad_to_sequence_len: true
wandb_project: tavbussy
wandb_entity:
wandb_watch:
wandb_name: magnum-attempt-01
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 2
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 0.00001
weight_decay: 0.02
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true
gradient_checkpointing: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 40
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: ./deepspeed_configs/zero3_bf16.json
fsdp:
fsdp_config:
special_tokens:
pad_token: <|finetune_right_pad_id|>