Experimental
Collection
Anything marked here may not be upto my quality standards/May be incomplete and not have full sources. Or it's literal meme-merges
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13 items
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Updated
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1
axolotl version: 0.4.1
base_model: IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer
load_in_8bit: false
load_in_4bit: false
strict: false
datasets:
- path: NewEden/Gryphe-3.5-16k-Subset
type: sharegpt
conversation: chatml
- path: NewEden/Claude-Instruct-5k
type: sharegpt
conversation: chatml
- path: NewEden/kaloisazasedhandsomefurry
type: sharegpt
conversation: chatml
- path: lodrick-the-lafted/NopmWritingStruct
type: sharegpt
conversation: chatml
- path: PocketDoc/Dans-MemoryCore-CoreCurriculum-Small
type: sharegpt
conversation: chatml
- path: Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
type: sharegpt
conversation: chatml
- path: anthracite-org/kalo-opus-instruct-22k-no-refusal
type: sharegpt
conversation: chatml
- path: PJMixers/lodrick-the-lafted_OpusStories-ShareGPT
type: sharegpt
conversation: chatml
- path: NewEden/Stheno-Data-filtered-8k-subset
type: sharegpt
conversation: chatml
- path: Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
type: sharegpt
conversation: chatml
- path: lodrick-the-lafted/kalo-opus-instruct-3k-filtered
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: 16384
# sequence_len: 32768
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: HollandV2
wandb_entity:
wandb_watch:
wandb_name: hollandV2
wandb_log_model:
gradient_accumulation_steps: 32
micro_batch_size: 1
num_epochs: 2
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 0.00001
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: 1
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero2.json
fsdp:
fsdp_config:
special_tokens:
pad_token: <|finetune_right_pad_id|>
This model is a fine-tuned version of IntervitensInc/Llama-3.1-Minitron-4B-Width-Base-chatml 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 |
---|---|---|---|
1.6361 | 0.0137 | 1 | nan |
1.3697 | 0.2601 | 19 | nan |
1.2753 | 0.5201 | 38 | nan |
1.2662 | 0.7802 | 57 | nan |
1.1923 | 1.0282 | 76 | nan |
1.1571 | 1.2883 | 95 | nan |
1.1751 | 1.5483 | 114 | nan |
1.1485 | 1.8084 | 133 | nan |