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FourOhFour/Nuggies_4B
Nuggies_4B is a text generation model from FourOhFour. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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From the Hugging Face model README
axolotl version: 0.4.1
base_model: jeiku/Chikn_4B
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer
load_in_8bit: false
load_in_4bit: false
strict: false
datasets:
- path: FourOhFour/RP_Phase
type: sharegpt
conversation: chatml
chat_template: chatml
val_set_size: 0.01
output_dir: ./outputs/out
adapter:
lora_r:
lora_alpha:
lora_dropout:
lora_target_linear:
sequence_len: 8192
sample_packing: true
eval_sample_packing: false
pad_to_sequence_len: true
plugins:
- axolotl.integrations.liger.LigerPlugin
liger_rope: true
liger_rms_norm: true
liger_swiglu: true
liger_fused_linear_cross_entropy: true
wandb_project: final4B
wandb_entity:
wandb_watch:
wandb_name: final4B
wandb_log_model:
gradient_accumulation_steps: 12
micro_batch_size: 3
num_epochs: 2
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 0.000008
weight_decay: 0.05
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_ratio: 0.1
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 2
debug:
deepspeed: deepspeed_configs/zero3_bf16.json
fsdp:
fsdp_config:
special_tokens:
pad_token: <|finetune_right_pad_id|>
</details><br>
This model is a fine-tuned version of jeiku/Chikn_4B 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 |
|---|---|---|---|
| 1.8733 | 0.0089 | 1 | 3.2193 |
| 1.8216 | 0.25 | 28 | 2.8722 |
| 1.785 | 0.5 | 56 | 2.7828 |
| 1.7331 | 0.75 | 84 | 2.7508 |
| 1.7098 | 1.0 | 112 | 2.7077 |
| 1.6084 | 1.2465 | 140 | 2.7037 |
| 1.6426 | 1.4966 | 168 | 2.6923 |
| 1.6159 | 1.7468 | 196 | 2.6870 |
| 1.6379 | 1.9970 | 224 | 2.6856 |