|
--- |
|
license: llama3.1 |
|
base_model: meta-llama/Meta-Llama-3.1-8B |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: workspace/axolotl/dolphin-2.9.4-llama3.1-8b |
|
results: [] |
|
--- |
|
|
|
# warning is not working yet, recommend hold off on downloading |
|
|
|
<details><summary>Evals</summary> |
|
|
|
``` |
|
hf (pretrained=/workspace/axolotl/dolphin-2.9.4-llama3.1-8b-hf,dtype=bfloat16), gen_kwargs: (None), limit: None, num_fewshot: None, batch_size: auto (4) |
|
| Tasks |Version|Filter|n-shot| Metric | |Value | |Stderr| |
|
|-----------------------------------------------------------|-------|------|-----:|-----------------------|---|-----:|---|------| |
|
|leaderboard |N/A |none | 0|acc |↑ |0.2926|± |0.0041| |
|
| | |none | 0|acc_norm |↑ |0.4513|± |0.0053| |
|
| | |none | 0|exact_match |↑ |0.0982|± |0.0079| |
|
| | |none | 0|inst_level_loose_acc |↑ |0.3825|± |N/A | |
|
| | |none | 0|inst_level_strict_acc |↑ |0.3597|± |N/A | |
|
| | |none | 0|prompt_level_loose_acc |↑ |0.2421|± |0.0184| |
|
| | |none | 0|prompt_level_strict_acc|↑ |0.2181|± |0.0178| |
|
| - leaderboard_bbh |N/A |none | 3|acc_norm |↑ |0.4931|± |0.0061| |
|
| - leaderboard_bbh_boolean_expressions | 0|none | 3|acc_norm |↑ |0.8000|± |0.0253| |
|
| - leaderboard_bbh_causal_judgement | 0|none | 3|acc_norm |↑ |0.5615|± |0.0364| |
|
| - leaderboard_bbh_date_understanding | 0|none | 3|acc_norm |↑ |0.4520|± |0.0315| |
|
| - leaderboard_bbh_disambiguation_qa | 0|none | 3|acc_norm |↑ |0.6640|± |0.0299| |
|
| - leaderboard_bbh_formal_fallacies | 0|none | 3|acc_norm |↑ |0.5600|± |0.0315| |
|
| - leaderboard_bbh_geometric_shapes | 0|none | 3|acc_norm |↑ |0.3640|± |0.0305| |
|
| - leaderboard_bbh_hyperbaton | 0|none | 3|acc_norm |↑ |0.6320|± |0.0306| |
|
| - leaderboard_bbh_logical_deduction_five_objects | 0|none | 3|acc_norm |↑ |0.4600|± |0.0316| |
|
| - leaderboard_bbh_logical_deduction_seven_objects | 0|none | 3|acc_norm |↑ |0.4360|± |0.0314| |
|
| - leaderboard_bbh_logical_deduction_three_objects | 0|none | 3|acc_norm |↑ |0.6160|± |0.0308| |
|
| - leaderboard_bbh_movie_recommendation | 0|none | 3|acc_norm |↑ |0.7880|± |0.0259| |
|
| - leaderboard_bbh_navigate | 0|none | 3|acc_norm |↑ |0.5200|± |0.0317| |
|
| - leaderboard_bbh_object_counting | 0|none | 3|acc_norm |↑ |0.4520|± |0.0315| |
|
| - leaderboard_bbh_penguins_in_a_table | 0|none | 3|acc_norm |↑ |0.5205|± |0.0415| |
|
| - leaderboard_bbh_reasoning_about_colored_objects | 0|none | 3|acc_norm |↑ |0.5120|± |0.0317| |
|
| - leaderboard_bbh_ruin_names | 0|none | 3|acc_norm |↑ |0.6320|± |0.0306| |
|
| - leaderboard_bbh_salient_translation_error_detection | 0|none | 3|acc_norm |↑ |0.4320|± |0.0314| |
|
| - leaderboard_bbh_snarks | 0|none | 3|acc_norm |↑ |0.5843|± |0.0370| |
|
| - leaderboard_bbh_sports_understanding | 0|none | 3|acc_norm |↑ |0.7040|± |0.0289| |
|
| - leaderboard_bbh_temporal_sequences | 0|none | 3|acc_norm |↑ |0.1440|± |0.0222| |
|
| - leaderboard_bbh_tracking_shuffled_objects_five_objects | 0|none | 3|acc_norm |↑ |0.1560|± |0.0230| |
|
| - leaderboard_bbh_tracking_shuffled_objects_seven_objects| 0|none | 3|acc_norm |↑ |0.1320|± |0.0215| |
|
| - leaderboard_bbh_tracking_shuffled_objects_three_objects| 0|none | 3|acc_norm |↑ |0.2840|± |0.0286| |
|
| - leaderboard_bbh_web_of_lies | 0|none | 3|acc_norm |↑ |0.4840|± |0.0317| |
|
| - leaderboard_gpqa |N/A |none | 0|acc_norm |↑ |0.2903|± |0.0132| |
|
| - leaderboard_gpqa_diamond | 1|none | 0|acc_norm |↑ |0.2980|± |0.0326| |
|
| - leaderboard_gpqa_extended | 1|none | 0|acc_norm |↑ |0.2839|± |0.0193| |
|
| - leaderboard_gpqa_main | 1|none | 0|acc_norm |↑ |0.2946|± |0.0216| |
|
| - leaderboard_ifeval | 2|none | 0|inst_level_loose_acc |↑ |0.3825|± |N/A | |
|
| | |none | 0|inst_level_strict_acc |↑ |0.3597|± |N/A | |
|
| | |none | 0|prompt_level_loose_acc |↑ |0.2421|± |0.0184| |
|
| | |none | 0|prompt_level_strict_acc|↑ |0.2181|± |0.0178| |
|
| - leaderboard_math_algebra_hard | 1|none | 4|exact_match |↑ |0.1596|± |0.0209| |
|
| - leaderboard_math_counting_and_prob_hard | 1|none | 4|exact_match |↑ |0.0488|± |0.0195| |
|
| - leaderboard_math_geometry_hard | 1|none | 4|exact_match |↑ |0.0530|± |0.0196| |
|
| - leaderboard_math_hard |N/A |none | 4|exact_match |↑ |0.0982|± |0.0079| |
|
| - leaderboard_math_intermediate_algebra_hard | 1|none | 4|exact_match |↑ |0.0143|± |0.0071| |
|
| - leaderboard_math_num_theory_hard | 1|none | 4|exact_match |↑ |0.0455|± |0.0168| |
|
| - leaderboard_math_prealgebra_hard | 1|none | 4|exact_match |↑ |0.2591|± |0.0316| |
|
| - leaderboard_math_precalculus_hard | 1|none | 4|exact_match |↑ |0.0519|± |0.0192| |
|
| - leaderboard_mmlu_pro | 0.1|none | 5|acc |↑ |0.2926|± |0.0041| |
|
| - leaderboard_musr |N/A |none | 0|acc_norm |↑ |0.3862|± |0.0173| |
|
| - leaderboard_musr_murder_mysteries | 1|none | 0|acc_norm |↑ |0.5280|± |0.0316| |
|
| - leaderboard_musr_object_placements | 1|none | 0|acc_norm |↑ |0.3594|± |0.0300| |
|
| - leaderboard_musr_team_allocation | 1|none | 0|acc_norm |↑ |0.2720|± |0.0282| |
|
|
|
| Groups |Version|Filter|n-shot| Metric | |Value | |Stderr| |
|
|------------------------|-------|------|-----:|-----------------------|---|-----:|---|------| |
|
|leaderboard |N/A |none | 0|acc |↑ |0.2926|± |0.0041| |
|
| | |none | 0|acc_norm |↑ |0.4513|± |0.0053| |
|
| | |none | 0|exact_match |↑ |0.0982|± |0.0079| |
|
| | |none | 0|inst_level_loose_acc |↑ |0.3825|± |N/A | |
|
| | |none | 0|inst_level_strict_acc |↑ |0.3597|± |N/A | |
|
| | |none | 0|prompt_level_loose_acc |↑ |0.2421|± |0.0184| |
|
| | |none | 0|prompt_level_strict_acc|↑ |0.2181|± |0.0178| |
|
| - leaderboard_bbh |N/A |none | 3|acc_norm |↑ |0.4931|± |0.0061| |
|
| - leaderboard_gpqa |N/A |none | 0|acc_norm |↑ |0.2903|± |0.0132| |
|
| - leaderboard_math_hard|N/A |none | 4|exact_match |↑ |0.0982|± |0.0079| |
|
| - leaderboard_musr |N/A |none | 0|acc_norm |↑ |0.3862|± |0.0173| |
|
``` |
|
|
|
</details> |
|
|
|
[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl) |
|
<details><summary>See axolotl config</summary> |
|
|
|
axolotl version: `0.4.1` |
|
```yaml |
|
base_model: meta-llama/Meta-Llama-3.1-8B |
|
model_type: LlamaForCausalLM |
|
tokenizer_type: AutoTokenizer |
|
|
|
load_in_8bit: false |
|
# load_in_4bit: true |
|
strict: false |
|
|
|
datasets: |
|
- path: /workspace/datasets/dolphin-2.9.4/dolphin201-sharegpt2.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
|
|
chat_template: chatml |
|
# adapter: qlora |
|
# lora_r: 128 |
|
# lora_alpha: 16 |
|
# lora_modules_to_save: [embed_tokens, lm_head] |
|
# lora_dropout: 0.05 |
|
# lora_target_linear: true |
|
|
|
unfrozen_parameters: |
|
- input_layernorm |
|
- model.norm |
|
- post_attention_layernorm |
|
- self_attn.rotary_emb |
|
- ^lm_head.weight$ |
|
- ^model.embed_tokens.weight$ |
|
# mlp.down_proj layers |
|
- model.layers.1.mlp.down_proj |
|
- model.layers.0.mlp.down_proj |
|
- model.layers.30.mlp.down_proj |
|
- model.layers.2.mlp.down_proj |
|
- model.layers.21.mlp.down_proj |
|
- model.layers.22.mlp.down_proj |
|
- model.layers.29.mlp.down_proj |
|
- model.layers.5.mlp.down_proj |
|
- model.layers.4.mlp.down_proj |
|
- model.layers.20.mlp.down_proj |
|
- model.layers.23.mlp.down_proj |
|
- model.layers.19.mlp.down_proj |
|
- model.layers.3.mlp.down_proj |
|
- model.layers.17.mlp.down_proj |
|
- model.layers.6.mlp.down_proj |
|
- model.layers.31.mlp.down_proj |
|
# mlp.up_proj layers |
|
- model.layers.4.mlp.up_proj |
|
- model.layers.3.mlp.up_proj |
|
- model.layers.0.mlp.up_proj |
|
- model.layers.5.mlp.up_proj |
|
- model.layers.7.mlp.up_proj |
|
- model.layers.6.mlp.up_proj |
|
- model.layers.2.mlp.up_proj |
|
- model.layers.1.mlp.up_proj |
|
- model.layers.8.mlp.up_proj |
|
- model.layers.12.mlp.up_proj |
|
- model.layers.14.mlp.up_proj |
|
- model.layers.9.mlp.up_proj |
|
- model.layers.15.mlp.up_proj |
|
- model.layers.17.mlp.up_proj |
|
- model.layers.13.mlp.up_proj |
|
- model.layers.19.mlp.up_proj |
|
# self_attn.k_proj layers |
|
- model.layers.29.self_attn.k_proj |
|
- model.layers.25.self_attn.k_proj |
|
- model.layers.23.self_attn.k_proj |
|
- model.layers.28.self_attn.k_proj |
|
- model.layers.21.self_attn.k_proj |
|
- model.layers.19.self_attn.k_proj |
|
- model.layers.22.self_attn.k_proj |
|
- model.layers.20.self_attn.k_proj |
|
- model.layers.24.self_attn.k_proj |
|
- model.layers.31.self_attn.k_proj |
|
- model.layers.27.self_attn.k_proj |
|
- model.layers.26.self_attn.k_proj |
|
- model.layers.17.self_attn.k_proj |
|
- model.layers.11.self_attn.k_proj |
|
- model.layers.18.self_attn.k_proj |
|
- model.layers.14.self_attn.k_proj |
|
# self_attn.o_proj layers |
|
- model.layers.14.self_attn.o_proj |
|
- model.layers.7.self_attn.o_proj |
|
- model.layers.5.self_attn.o_proj |
|
- model.layers.11.self_attn.o_proj |
|
- model.layers.6.self_attn.o_proj |
|
- model.layers.24.self_attn.o_proj |
|
- model.layers.9.self_attn.o_proj |
|
- model.layers.13.self_attn.o_proj |
|
- model.layers.10.self_attn.o_proj |
|
- model.layers.12.self_attn.o_proj |
|
- model.layers.8.self_attn.o_proj |
|
- model.layers.25.self_attn.o_proj |
|
- model.layers.21.self_attn.o_proj |
|
- model.layers.23.self_attn.o_proj |
|
- model.layers.15.self_attn.o_proj |
|
- model.layers.16.self_attn.o_proj |
|
# self_attn.q_proj layers |
|
- model.layers.8.self_attn.q_proj |
|
- model.layers.13.self_attn.q_proj |
|
- model.layers.9.self_attn.q_proj |
|
- model.layers.14.self_attn.q_proj |
|
- model.layers.10.self_attn.q_proj |
|
- model.layers.11.self_attn.q_proj |
|
- model.layers.0.self_attn.q_proj |
|
- model.layers.15.self_attn.q_proj |
|
- model.layers.1.self_attn.q_proj |
|
- model.layers.6.self_attn.q_proj |
|
- model.layers.5.self_attn.q_proj |
|
- model.layers.7.self_attn.q_proj |
|
- model.layers.12.self_attn.q_proj |
|
- model.layers.16.self_attn.q_proj |
|
- model.layers.17.self_attn.q_proj |
|
- model.layers.26.self_attn.q_proj |
|
# self_attn.v_proj layers |
|
- model.layers.26.self_attn.v_proj |
|
- model.layers.17.self_attn.v_proj |
|
- model.layers.3.self_attn.v_proj |
|
- model.layers.28.self_attn.v_proj |
|
- model.layers.29.self_attn.v_proj |
|
- model.layers.21.self_attn.v_proj |
|
- model.layers.15.self_attn.v_proj |
|
- model.layers.16.self_attn.v_proj |
|
- model.layers.20.self_attn.v_proj |
|
- model.layers.25.self_attn.v_proj |
|
- model.layers.6.self_attn.v_proj |
|
- model.layers.23.self_attn.v_proj |
|
- model.layers.4.self_attn.v_proj |
|
- model.layers.1.self_attn.v_proj |
|
- model.layers.22.self_attn.v_proj |
|
- model.layers.14.self_attn.v_proj |
|
# mlp.gate_proj layers |
|
- model.layers.1.mlp.gate_proj |
|
- model.layers.2.mlp.gate_proj |
|
- model.layers.3.mlp.gate_proj |
|
- model.layers.4.mlp.gate_proj |
|
- model.layers.0.mlp.gate_proj |
|
- model.layers.25.mlp.gate_proj |
|
- model.layers.26.mlp.gate_proj |
|
- model.layers.5.mlp.gate_proj |
|
- model.layers.24.mlp.gate_proj |
|
- model.layers.28.mlp.gate_proj |
|
- model.layers.23.mlp.gate_proj |
|
- model.layers.27.mlp.gate_proj |
|
- model.layers.21.mlp.gate_proj |
|
- model.layers.22.mlp.gate_proj |
|
- model.layers.29.mlp.gate_proj |
|
- model.layers.20.mlp.gate_proj |
|
|
|
|
|
|
|
|
|
dataset_prepared_path: /workspace/axolotl/dolph-2.9.4-nemo-prepared |
|
val_set_size: 0.01 |
|
output_dir: /workspace/axolotl/dolphin-2.9.4-llama3.1-8b |
|
|
|
sequence_len: 8192 |
|
sample_packing: true |
|
pad_to_sequence_len: true |
|
|
|
wandb_project: dolphin-2.9.4-llama3.1-8b |
|
wandb_watch: |
|
wandb_run_id: |
|
wandb_log_model: |
|
|
|
gradient_accumulation_steps: 16 |
|
micro_batch_size: 2 |
|
num_epochs: 3 |
|
optimizer: adamw_torch |
|
lr_scheduler: cosine |
|
learning_rate: 5e-6 |
|
train_on_inputs: false |
|
group_by_length: false |
|
bf16: auto |
|
fp16: |
|
tf32: |
|
|
|
gradient_checkpointing: true |
|
gradient_checkpointing_kwargs: |
|
use_reentrant: false |
|
early_stopping_patience: |
|
resume_from_checkpoint: |
|
logging_steps: 1 |
|
xformers_attention: |
|
flash_attention: true |
|
|
|
warmup_steps: 100 |
|
# evals_per_epoch: 4 |
|
eval_table_size: |
|
saves_per_epoch: 1 |
|
save_total_limit: 2 |
|
save_steps: |
|
debug: |
|
deepspeed: deepspeed_configs/zero3_bf16.json |
|
weight_decay: 0.1 |
|
special_tokens: |
|
eos_token: "<|im_end|>" |
|
bos_token: "<|begin_of_text|>" |
|
pad_token: "<|finetune_right_pad_id|>" |
|
tokens: |
|
- "<|im_start|>" |
|
|
|
|
|
# fsdp: |
|
# - full_shard |
|
# - auto_wrap |
|
# fsdp_config: |
|
# fsdp_limit_all_gathers: true |
|
# fsdp_sync_module_states: true |
|
# fsdp_offload_params: true |
|
# fsdp_use_orig_params: false |
|
# fsdp_cpu_ram_efficient_loading: true |
|
# fsdp_transformer_layer_cls_to_wrap: MixtralSparseMoeBlock |
|
# fsdp_state_dict_type: FULL_STATE_DICT |
|
# fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP |
|
# fsdp_sharding_strategy: FULL_SHARD |
|
# fsdp_forward_prefetch: false |
|
# fsdp_backward_prefetch: BACKWARD_PRE |
|
``` |
|
|
|
</details><br> |
|
|
|
# workspace/axolotl/dolphin-2.9.4-llama3.1-8b |
|
|
|
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.5655 |
|
|
|
## 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: 2 |
|
- eval_batch_size: 2 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 8 |
|
- gradient_accumulation_steps: 16 |
|
- total_train_batch_size: 256 |
|
- 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: 100 |
|
- num_epochs: 3 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 0.5837 | 1.0180 | 1161 | 0.5814 | |
|
| 0.5525 | 2.0179 | 2322 | 0.5671 | |
|
| 0.5514 | 2.9624 | 3420 | 0.5655 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.44.0.dev0 |
|
- Pytorch 2.4.0+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|
