Files
axolotl/examples/jamba/qlora_fsdp_large.yaml
Gal Cohen (galco) 957c956f89 rename jamba example (#1846) [skip ci]
* rename jamba example

* feat: change readme

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Co-authored-by: Gal Cohen <galc@ai21.com>
2024-08-22 09:22:55 -04:00

62 lines
1.4 KiB
YAML

base_model: ai21labs/AI21-Jamba-1.5-Large
tokenizer_type: AutoTokenizer
load_in_4bit: true
strict: false
use_tensorboard: true
datasets:
- path: cgato/SlimOrcaDedupCleaned
type: chat_template
chat_template: jamba
drop_system_message: true
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: jamba-large-fsdp-qlora-ft
save_safetensors: true
adapter: qlora
sequence_len: 2048
sample_packing: true
pad_to_sequence_len: true
lora_r: 16
lora_alpha: 16
lora_dropout: 0.05
lora_target_modules: [down_proj,gate_proj,in_proj,k_proj,o_proj,out_proj,q_proj,up_proj,v_proj,x_proj]
lora_target_linear: false
gradient_accumulation_steps: 4
micro_batch_size: 1
num_epochs: 2
optimizer: adamw_torch
lr_scheduler: cosine
learning_rate: 0.00001
train_on_inputs: false
group_by_length: false
bf16: true
tf32: true
gradient_checkpointing: true
gradient_checkpointing_kwargs:
use_reentrant: true
logging_steps: 1
flash_attention: true
warmup_steps: 10
evals_per_epoch: 1
saves_per_epoch: 1
weight_decay: 0.0
fsdp:
- full_shard
- auto_wrap
fsdp_config:
fsdp_limit_all_gathers: true
fsdp_sync_module_states: true
fsdp_offload_params: false
fsdp_use_orig_params: false
fsdp_cpu_ram_efficient_loading: true
fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
fsdp_transformer_layer_cls_to_wrap: JambaAttentionDecoderLayer,JambaMambaDecoderLayer
fsdp_state_dict_type: FULL_STATE_DICT
fsdp_sharding_strategy: FULL_SHARD