Hugging Face's logo

Datasets:
Delta-Vector
/
Configs

Dataset card Files Community
Configs
File size: 3,238 Bytes 
d1dd6f3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
 
base_model: allura-org/TQ2.5-14B-Sugarquill-v1
strict: false

plugins:
  - axolotl.integrations.liger.LigerPlugin
liger_rope: true
liger_rms_norm: true
liger_swiglu: true
liger_fused_linear_cross_entropy: true

# Output and HuggingFace
hub_model_id: NewEden/control-14b-lora
hf_use_auth_token: true
hub_strategy: "all_checkpoints"

wandb_project: huggingface
wandb_entity:
wandb_name: Control-14B


chat_template: chatml
group_by_length: false
datasets:
  - path: Nitral-AI/Creative_Writing-ShareGPT
    type: chat_template
    roles_to_train: ["gpt"]
    field_messages: conversations
    message_field_role: from
    message_field_content: value
    train_on_eos: turn
  - path: Nitral-AI/ARES-ShareGPT
    type: chat_template
    chat_template: chatml
    roles_to_train: ["gpt"]
    field_messages: conversations
    message_field_role: from
    message_field_content: value
    train_on_eos: turn
  - path: NewEden/Claude-Instruct-5K
    type: chat_template
    chat_template: chatml
    roles_to_train: ["gpt"]
    field_messages: conversations
    message_field_role: from
    message_field_content: value
    train_on_eos: turn
  - path: NewEden/OpenCAI-ShareGPT
    type: chat_template
    roles_to_train: ["gpt"]
    field_messages: conversations
    message_field_role: from
    message_field_content: value
    train_on_eos: turn
  - path: NewEden/PIPPA-Mega-Filtered
    type: chat_template
    chat_template: chatml
    roles_to_train: ["gpt"]
    field_messages: conversations
    message_field_role: from
    message_field_content: value
    train_on_eos: turn
  - path: NewEden/Roleplay-Logs-Sharegpt-Ngram-cleaned
    type: chat_template
    chat_template: chatml
    roles_to_train: ["gpt"]
    field_messages: conversations
    message_field_role: from
    message_field_content: value
    train_on_eos: turn
  - path: Nitral-AI/Creative_Writing-ShareGPT
    type: chat_template
    chat_template: chatml
    roles_to_train: ["gpt"]
    field_messages: conversations
    message_field_role: from
    message_field_content: value
    train_on_eos: turn

#val_set_size: 0.01
#evals_per_epoch: 1
# eval_table_size:
# eval_max_new_tokens: 128
num_epochs: 2

sequence_len: 8192
save_safetensors: true
saves_per_epoch: 2
logging_steps: 1
special_tokens:

# Quantization
bf16: auto
fp16:
tf32: false
## For LoRA
load_in_8bit: false
load_in_4bit: True

# LoRA
peft_use_rslora: true
adapter: qlora 
lora_model_dir:
lora_r: 128  
lora_alpha: 16
lora_dropout: 0.05
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:

## if oom
# lora_r: 64  
# lora_alpha: 32
# lora_dropout: 0.1


weight_decay: 0.02
max_grad_norm: 1.0

warmup_ratio: 0.05
learning_rate: 0.00002
lr_scheduler: cosine
#lr_scheduler_kwargs:
optimizer: paged_adamw_8bit # usually adamw_torch or paged_adamw_8bit

## Batch Size
gradient_accumulation_steps: 8      
micro_batch_size: 1                
eval_batch_size: 1

# Optimizations
pad_to_sequence_len: true
sample_packing: true
eval_sample_packing: false
flash_attention: true
xformers_attention:
gradient_checkpointing: "unsloth"
gradient_checkpointing_kwargs:
   use_reentrant: true
local_rank:
early_stopping_patience:
debug:
special_tokens:
  pad_token: <|endoftext|>
  eos_token: <|im_end|>