See axolotl config
axolotl version: 0.4.1
base_model: meta-llama/Llama-3.2-1B
model_type: LlamaForCausalLM
tokenizer_type: AutoTokenizer
load_in_8bit: false
load_in_4bit: false
strict: false
chat_template: chatml
datasets:
- path: datasets/airoboros_3.2_without_contextual_slimorca_orca_sharegpt.json
ds_type: json
type: sharegpt
conversation: chatml
- path: datasets/allenai_wild_chat_gpt4_english_toxic_random_half_4k_sharegpt.json
ds_type: json
type: sharegpt
strict: false
conversation: chatml
- path: datasets/buzz_unstacked_chosen_math_removed_filtered.json
ds_type: json
type: alpaca
conversation: chatml
- path: datasets/capybara_sharegpt.json
ds_type: json
type: sharegpt
conversation: chatml
- path: datasets/cot_alpaca_gpt4_extracted_openhermes_2.5_sharegpt.json
ds_type: json
type: sharegpt
conversation: chatml
- path: datasets/everythinglm-data-v3_sharegpt.json
ds_type: json
type: sharegpt
strict: false
conversation: chatml
- path: datasets/gpt4_data_lmys_1m_sharegpt.json
ds_type: json
type: sharegpt
conversation: chatml
- path: datasets/gpteacher-instruct-special-alpaca.json
ds_type: json
type: gpteacher
conversation: chatml
- path: datasets/merged_all.json
ds_type: json
type: alpaca
conversation: chatml
- path: datasets/no_robots_sharegpt.json
ds_type: json
type: sharegpt
strict: false
conversation: chatml
- path: datasets/oasst_top1_from_fusechatmixture_sharegpt.json
ds_type: json
type: sharegpt
strict: false
conversation: chatml
- path: datasets/pippa_bagel_repo_3k_sharegpt.json
ds_type: json
type: sharegpt
conversation: chatml
- path: datasets/rpguild_quarter_alignment_lab_sharegpt.json
ds_type: json
type: sharegpt
conversation: chatml
- path: datasets/sharegpt_gpt4_english.json
ds_type: json
type: sharegpt
conversation: chatml
- path: datasets/slimorca_dedup_filtered_95k_sharegpt.json
ds_type: json
type: sharegpt
conversation: chatml
- path: datasets/soda_diaolog_longest_tenth_buzz_sharegpt.json
ds_type: json
type: sharegpt
conversation: chatml
- path: datasets/synthia-v1.3_sharegpt_12500.json
ds_type: json
type: sharegpt
conversation: chatml
- path: datasets/system_conversations_dolphin_sharegpt.json
ds_type: json
type: sharegpt
conversation: chatml
- path: datasets/NuminaMath-CoT-olympiads-40k_alpaca.json
ds_type: json
type: alpaca
conversation: chatml
- path: datasets/math-gpt-4o-40k_alpaca.json
ds_type: json
type: alpaca
conversation: chatml
- path: datasets/sonnet3.5_science_conversations_sharegpt.json
ds_type: json
type: sharegpt
conversation: chatml
- path: datasets/reasoning-0.01_sharegpt.jsonl
ds_type: json
type: sharegpt
conversation: chatml
dataset_prepared_path: last_run_prepared
val_set_size: 0.002
output_dir: ./Einstein-v8-Llama3.2-1B-model
sequence_len: 8192
sample_packing: true
pad_to_sequence_len: true
eval_sample_packing: false
wandb_project: Einstein
wandb_entity:
wandb_watch:
wandb_name: Einstein-v8-Llama3.2-1B-2-epoch
wandb_log_model:
hub_model_id: Weyaxi/Einstein-v8-Llama3.2-1B
save_safetensors: true
gradient_accumulation_steps: 4
micro_batch_size: 4
num_epochs: 2
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 0.000005
train_on_inputs: false
group_by_length: false
bf16: true
fp16: false
tf32: false
gradient_checkpointing: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 10
evals_per_epoch: 4
eval_table_size:
eval_table_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed: axolotl/deepspeed_configs/zero3_bf16.json
weight_decay: 0.0
fsdp:
fsdp_config:
special_tokens:
bos_token: "<s>"
eos_token: "<|im_end|>"
unk_token: "<unk>"
pad_token: <|end_of_text|>
tokens:
- "<|im_start|>"
Einstein-v8-Llama3.2-1B
This model is a fine-tuned version of meta-llama/Llama-3.2-1B on the None dataset.
It achieves the following results on the evaluation set:
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 2
Training results
Training Loss |
Epoch |
Step |
Validation Loss |
1.4261 |
0.0009 |
1 |
1.4028 |
1.0487 |
0.2501 |
268 |
0.9917 |
1.0484 |
0.5001 |
536 |
0.9652 |
1.0039 |
0.7502 |
804 |
0.9499 |
1.0528 |
1.0002 |
1072 |
0.9399 |
0.9559 |
1.2481 |
1340 |
0.9345 |
0.9078 |
1.4981 |
1608 |
0.9309 |
0.9702 |
1.7481 |
1876 |
0.9295 |
0.929 |
1.9981 |
2144 |
0.9292 |
Framework versions
- Transformers 4.45.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.20.0
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric |
Value |
Avg. |
4.63 |
IFEval (0-Shot) |
18.62 |
BBH (3-Shot) |
3.01 |
MATH Lvl 5 (4-Shot) |
0.00 |
GPQA (0-shot) |
1.12 |
MuSR (0-shot) |
3.22 |
MMLU-PRO (5-shot) |
1.79 |