InternLM2-Chat-20B-ToxicRP-QLORA
Collection
InternLM2 Finetuned to be uncensored and RP compatible
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4 items
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Updated
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2
axolotl version: 0.4.0
mlflow_tracking_uri: http://127.0.0.1:2340
mlflow_experiment_name: Default
base_model: intervitens/internlm2-limarp-chat-20b
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer
load_in_8bit: true
load_in_4bit: false
strict: false
datasets:
- path: ResplendentAI/Alpaca_NSFW_Shuffled
type: alpaca
- path: diffnamehard/toxic-dpo-v0.1-NoWarning-alpaca
type: alpaca
dataset_prepared_path: last_run_prepared
val_set_size: 0.1
output_dir: ./outputs/qlora-out
adapter: lora
lora_model_dir:
sequence_len: 8192
sample_packing: false
pad_to_sequence_len: true
lora_r: 32
lora_alpha: 16
lora_dropout: 0.05
lora_target_linear: true
lora_fan_in_fan_out:
lora_target_modules:
- gate_proj
- down_proj
- up_proj
- q_proj
- v_proj
- k_proj
- o_proj
wandb_project:
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 4
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 0.0002
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: false
gradient_checkpointing: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
loss_watchdog_threshold: 5.0
loss_watchdog_patience: 3
warmup_steps: 10
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed:
weight_decay: 0.0
fsdp:
fsdp_config:
special_tokens:
This model is a fine-tuned version of intervitens/internlm2-limarp-chat-20b on the None dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.465 | 0.0476 | 1 | 1.4508 |
1.3472 | 0.2857 | 6 | 1.4126 |
1.1997 | 0.5714 | 12 | 1.1998 |
1.0735 | 0.8571 | 18 | 1.1192 |
1.077 | 1.1429 | 24 | 1.0703 |
1.0478 | 1.4286 | 30 | 1.0410 |
0.9997 | 1.7143 | 36 | 1.0259 |
0.9696 | 2.0 | 42 | 1.0091 |
0.8861 | 2.2857 | 48 | 1.0042 |
0.8961 | 2.5714 | 54 | 0.9928 |
0.8615 | 2.8571 | 60 | 0.9889 |
0.8603 | 3.1429 | 66 | 0.9860 |
0.7825 | 3.4286 | 72 | 0.9877 |
0.9228 | 3.7143 | 78 | 0.9860 |
0.8684 | 4.0 | 84 | 0.9868 |
Base model
internlm/internlm2-base-20b