empower-dev-staging
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empower-functions-llama3-70b-parallel-all-linear

@@ -1,202 +1,169 @@
 ---
 library_name: peft
 base_model: meta-llama/Meta-Llama-3-70B-Instruct
 ---
-# Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
-## Model Details
-### Model Description
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-- **Developed by:** [More Information Needed]
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-## Uses
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-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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 ### Framework versions
-- PEFT 0.10.0

 ---
+license: other
 library_name: peft
+tags:
+- axolotl
+- generated_from_trainer
 base_model: meta-llama/Meta-Llama-3-70B-Instruct
+model-index:
+- name: empower-functions-llama3-70b-parallel-all-linear
+  results: []
 ---
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+<details><summary>See axolotl config</summary>
+axolotl version: `0.4.0`
+```yaml
+adapter: qlora
+base_model: meta-llama/Meta-Llama-3-70B-Instruct
+bf16: auto
+datasets:
+- conversation: llama-3
+  path: a265546be8c24d59bfdc6ba69431b635/./data/with_function_response/original_clean/function_used_training_shuffled.jsonl
+  type: sharegpt
+- conversation: llama-3
+  path: a265546be8c24d59bfdc6ba69431b635/./data/with_function_response/original_clean/function_not_used_training.jsonl
+  type: sharegpt
+- conversation: llama-3
+  path: a265546be8c24d59bfdc6ba69431b635/./data/with_function_response/parallel_call/parallel_data_training.jsonl
+  type: sharegpt
+debug: null
+deepspeed: null
+early_stopping_patience: null
+eval_table_size: null
+evals_per_epoch: 4
+flash_attention: true
+fp16: null
+fsdp:
+- full_shard
+- auto_wrap
+fsdp_config:
+  fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
+  fsdp_cpu_ram_efficient_loading: true
+  fsdp_limit_all_gathers: true
+  fsdp_offload_params: true
+  fsdp_sharding_strategy: FULL_SHARD
+  fsdp_state_dict_type: FULL_STATE_DICT
+  fsdp_sync_module_states: true
+  fsdp_transformer_layer_cls_to_wrap: LlamaDecoderLayer
+  fsdp_use_orig_params: false
+gradient_accumulation_steps: 2
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: true
+group_by_length: false
+hub_model_id: liuylhf/empower-functions-llama3-70b-parallel-all-linear
+learning_rate: 0.0002
+load_in_4bit: true
+load_in_8bit: false
+local_rank: null
+logging_steps: 1
+lora_alpha: 64
+lora_dropout: 0.05
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 32
+lora_target_linear: true
+lora_target_modules: null
+lr_scheduler: cosine
+micro_batch_size: 4
+model_type: LlamaForCausalLM
+num_epochs: 4
+optimizer: adamw_torch
+output_dir: a265546be8c24d59bfdc6ba69431b635/model
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+sample_packing: true
+saves_per_epoch: 10
+sequence_len: 4096
+special_tokens:
+  pad_token: <|end_of_text|>
+strict: false
+tf32: false
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+val_set_size: 0.05
+wandb_entity: null
+wandb_log_model: null
+wandb_name: null
+wandb_project: null
+wandb_watch: null
+warmup_steps: 10
+weight_decay: 0.0
+xformers_attention: null
+```
+</details><br>
+# empower-functions-llama3-70b-parallel-all-linear
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0436
+## 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: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- 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: 4
+### Training results
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.0962        | 0.0067 | 1    | 2.0635          |
+| 0.0715        | 0.2492 | 37   | 0.0770          |
+| 0.0556        | 0.4983 | 74   | 0.0600          |
+| 0.0559        | 0.7475 | 111  | 0.0549          |
+| 0.0542        | 0.9966 | 148  | 0.0523          |
+| 0.0439        | 1.2256 | 185  | 0.0505          |
+| 0.0484        | 1.4747 | 222  | 0.0496          |
+| 0.043         | 1.7239 | 259  | 0.0477          |
+| 0.0467        | 1.9731 | 296  | 0.0464          |
+| 0.0406        | 2.2020 | 333  | 0.0462          |
+| 0.0424        | 2.4512 | 370  | 0.0453          |
+| 0.0378        | 2.7003 | 407  | 0.0443          |
+| 0.0382        | 2.9495 | 444  | 0.0435          |
+| 0.0352        | 3.1785 | 481  | 0.0439          |
+| 0.0328        | 3.4276 | 518  | 0.0438          |
+| 0.0329        | 3.6768 | 555  | 0.0437          |
+| 0.0378        | 3.9259 | 592  | 0.0436          |
 ### Framework versions
+- PEFT 0.10.0
+- Transformers 4.40.0
+- Pytorch 2.1.2+cu121
+- Datasets 2.15.0
+- Tokenizers 0.19.1

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