Super-squash branch 'main' using huggingface_hub

Co-authored-by: MeghanaArakkal <[email protected]>
Co-authored-by: prapti19 <[email protected]>

.gitattributes

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README.md

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+---
+library_name: peft
+license: mit
+base_model: microsoft/Phi-3.5-mini-instruct
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: sn_math_curator_on_ensemble_8
+  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. -->
+
+
+This is an open-source fine-tuned reasoning adapter of [microsoft/Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct), transformed into a math reasoning model using data curated from [collinear-ai/R1-Distill-SFT-Curated](https://huggingface.co/datasets/collinear-ai/R1-Distill-SFT-Curated).
+
+[<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 version</summary>
+
+axolotl version: `0.5.0`
+<!-- ```yaml
+strict: false
+base_model: microsoft/Phi-3.5-mini-instruct
+tokenizer_config: microsoft/Phi-3.5-mini-instruct
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+# Output configuration
+hub_model_id: collinear-ai/sn_math_curator_on_ensemble_8
+dataset_prepared_path: data/sn_math_curator_on_ensemble_8
+output_dir: model/sn_math_curator_on_ensemble_8
+
+# Format the dataset into the right instruction format.
+chat_template: phi_3
+datasets:
+  - path: collinear-ai/R1-Distill-SFT-numina-math-ensemble_8_train
+    split: train
+    type: chat_template
+    chat_template: phi_3
+    field_messages: train_conv
+    message_field_role: role
+    message_field_content: content
+train_on_inputs: false #FALSE
+
+val_set_size: 0.05
+# Data packing
+sequence_len: 4096
+eval_sample_packing: false
+sample_packing: false
+pad_to_sequence_len: true
+group_by_length: false
+
+# Lora config
+adapter: qlora
+lora_model_dir:
+load_in_8bit: false
+load_in_4bit: true -->
+<!-- lora_r: 128
+lora_alpha: 64
+lora_dropout: 0.2
+lora_target_linear: true
+lora_fan_in_fan_out:
+lora_target_modules:
+  - gate_proj
+  - down_proj
+  - up_proj
+  - q_proj
+  - v_proj
+  - k_proj
+  - o_proj
+lora_modules_to_save: 
+  - embed_tokens
+  - lm_head
+
+
+# Logging config
+wandb_project: sn-curators-downstream
+wandb_entity: nazneen
+wandb_name: curator_math_sn_ensemble_8_phi
+
+# Trainer config
+gradient_accumulation_steps: 2
+micro_batch_size: 10
+num_epochs: 1
+optimizer: paged_adamw_8bit
+lr_scheduler: cosine
+learning_rate: 0.000005
+
+
+bfloat16: true
+bf16: true
+fp16:
+tf32: false -->
+
+<!-- gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 10
+xformers_attention:
+flash_attention: true
+save_safetensors: true
+
+
+
+warmup_steps: 50
+evals_per_epoch: 3
+eval_table_size: 3
+eval_max_new_tokens: 2048
+saves_per_epoch: 40
+debug:
+deepspeed:
+weight_decay: 0.02
+fsdp_config:
+special_tokens:
+  bos_token: "<s>"
+  eos_token: "<|endoftext|>"
+  unk_token: "<unk>"
+  pad_token: "<|endoftext|>"
+
+``` -->
+
+</details><br>
+
+
+
+## Intended uses & limitations
+
+Math-Reasoning
+
+## Training and evaluation data
+
+Training data curated from [collinear-ai/R1-Distill-SFT-Curated](https://huggingface.co/datasets/collinear-ai/R1-Distill-SFT-Curated)
+Evaluation data: [HuggingFaceH4/MATH-500](https://huggingface.co/datasets/HuggingFaceH4/MATH-500)
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-06
+- train_batch_size: 10
+- eval_batch_size: 10
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 160
+- total_eval_batch_size: 80
+- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.0003 | 1    | 0.6646          |
+| 0.3174        | 0.3335 | 1247 | 0.3329          |
+| 0.307         | 0.6670 | 2494 | 0.3169          |
+
+### Evaluation on Math500
+
+![Math Reasoning Evaluation](https://huggingface.co/collinear-ai/math_reasoning_phi_c2/raw/main/math500_eval_c1_c2.png)
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.1
+- Pytorch 2.3.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.3

adapter_config.json

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+{
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+  "base_model_name_or_path": "microsoft/Phi-3.5-mini-instruct",
+  "bias": "none",
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+  "init_lora_weights": true,
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+  "modules_to_save": [
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+    "qkv_proj",
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+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

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config.json

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