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Model: Weyaxi/Einstein-7B
Source: Original Platform

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README.md

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+---
+license: other
+tags:
+- axolotl
+- generated_from_trainer
+base_model: mistralai/Mistral-7B-v0.1
+datasets:
+- allenai/ai2_arc
+- camel-ai/physics
+- camel-ai/chemistry
+- camel-ai/biology
+- metaeval/reclor
+- openbookqa
+- mandyyyyii/scibench
+- derek-thomas/ScienceQA
+- wenhu/TheoremQA
+- TIGER-Lab/ScienceEval
+---
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/uvfa4GVWrnd8SS6yBxRJZ.jpeg)
+
+# 🔬 Einstein-7B
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on datasets related to science.
+
+This model is fine-tuned using [QLoRa](https://arxiv.org/abs/2305.14314) and [axolotl](https://github.com/OpenAccess-AI-Collective/axolotl).
+
+This model's training was sponsored by [sablo.ai](https://sablo.ai).
+
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.3.0`
+```yaml
+base_model: mistralai/Mistral-7B-v0.1
+model_type: MistralForCausalLM
+tokenizer_type: LlamaTokenizer
+is_mistral_derived_model: true
+
+load_in_8bit: false
+load_in_4bit: true
+strict: false
+
+datasets:
+  - path: sci-datasets/arc_challange_train_alpaca.json
+    ds_type: json
+    type: alpaca
+
+  - path: sci-datasets/camelai_biology_alpaca.json
+    ds_type: json
+    type: alpaca
+
+  - path: sci-datasets/camelai_chemistry_alpaca.json
+    ds_type: json
+    type: alpaca
+
+  - path: sci-datasets/camelai_physics_alpaca.json
+    ds_type: json
+    type: alpaca
+
+  - path: sci-datasets/openbookqa_alpaca.json
+    ds_type: json
+    type: alpaca
+
+  - path: sci-datasets/reclor_science_alpaca.json
+    ds_type: json
+    type: alpaca
+    
+  - path: sci-datasets/scibench_alpaca.json
+    ds_type: json
+    type: alpaca
+
+  - path: sci-datasets/scienceqa_alpaca.json
+    ds_type: json
+    type: alpaca
+
+  - path: sci-datasets/theoremqa_alpaca.json
+    ds_type: json
+    type: alpaca
+
+  - path: sci-datasets/tiger_scienceeval_alpaca.json
+    ds_type: json
+    type: alpaca
+
+dataset_prepared_path: last_run_prepared
+val_set_size: 0
+output_dir: ./science-mistral
+
+adapter: qlora
+lora_model_dir:
+
+sequence_len: 8192
+sample_packing: true
+pad_to_sequence_len: true
+
+lora_r: 128
+lora_alpha: 64
+lora_dropout: 0.05
+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
+
+wandb_project: huggingface
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+hub_model_id: Weyaxi/science-mistral
+
+# change #
+gradient_accumulation_steps: 12
+micro_batch_size: 6
+num_epochs: 2
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.0002
+# change #
+
+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
+
+
+saves_per_epoch: 3
+debug:
+deepspeed:
+weight_decay: 0.1
+fsdp:
+fsdp_config:
+special_tokens:
+  bos_token: "<s>"
+  eos_token: "</s>"
+  unk_token: "<unk>"
+
+```
+
+</details><br>
+
+# 📊 Datasets
+
+Following datasets were used in this model:
+
+- [ARC](https://huggingface.co/datasets/allenai/ai2_arc) (Note: Only **train** part)
+
+- [camel-ai/physics](https://huggingface.co/datasets/camel-ai/physics)
+
+- [camel-ai/chemistry](https://huggingface.co/datasets/camel-ai/chemistry)
+
+- [camel-ai/biology](https://huggingface.co/datasets/camel-ai/biology)
+
+- [openbookqa](https://huggingface.co/datasets/openbookqa)
+
+- [reclor](https://huggingface.co/datasets/metaeval/reclor)
+
+- [scibench](https://github.com/mandyyyyii/scibench)
+
+- [ScienceQA](https://huggingface.co/datasets/derek-thomas/ScienceQA)
+
+- [TheoremQA](https://huggingface.co/datasets/wenhu/TheoremQA)
+
+- [ScienceEval](https://huggingface.co/datasets/TIGER-Lab/ScienceEval)
+
+# 💬 Prompt Template
+
+You can use this prompt template while using the model:
+
+### Alpaca
+
+```
+Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
+
+### Instruction:
+{instruction}
+
+### Input:
+{input}
+
+### Response:
+```
+
+# 🤝 Acknowledgments
+
+Thanks to Platypus for providing scripts to convert some of the datasets to Alpaca format: [Platypus/data_pipeline](https://github.com/arielnlee/Platypus/tree/main/data_pipeline)
+
+Thanks to all the dataset authors mentioned in the datasets section.
+
+Thanks to [axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) for making the repository I used to make this model.
+
+[<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)
+
+If you would like to support me:
+
+[☕ Buy Me a Coffee](https://www.buymeacoffee.com/weyaxi)

config.json

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+{
+  "_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.37.0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

configs/science_config.yml

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+base_model: mistralai/Mistral-7B-v0.1
+model_type: MistralForCausalLM
+tokenizer_type: LlamaTokenizer
+is_mistral_derived_model: true
+
+load_in_8bit: true
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: sci-datasets/arc_challange_train_alpaca.json
+    ds_type: json
+    type: alpaca
+
+  - path: sci-datasets/camelai_biology_alpaca.json
+    ds_type: json
+    type: alpaca
+
+  - path: sci-datasets/camelai_chemistry_alpaca.json
+    ds_type: json
+    type: alpaca
+
+  - path: sci-datasets/camelai_physics_alpaca.json
+    ds_type: json
+    type: alpaca
+
+  - path: sci-datasets/openbookqa_alpaca.json
+    ds_type: json
+    type: alpaca
+
+  - path: sci-datasets/reclor_science_alpaca.json
+    ds_type: json
+    type: alpaca
+    
+  - path: sci-datasets/scibench_alpaca.json
+    ds_type: json
+    type: alpaca
+
+  - path: sci-datasets/scienceqa_alpaca.json
+    ds_type: json
+    type: alpaca
+
+  - path: sci-datasets/theoremqa_alpaca.json
+    ds_type: json
+    type: alpaca
+
+  - path: sci-datasets/tiger_scienceeval_alpaca.json
+    ds_type: json
+    type: alpaca
+
+dataset_prepared_path: last_run_prepared
+val_set_size: 0
+output_dir: ./science-mistral
+
+adapter: lora
+lora_model_dir:
+
+sequence_len: 8192
+sample_packing: true
+pad_to_sequence_len: true
+
+lora_r: 64
+lora_alpha: 32
+lora_dropout: 0.05
+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
+
+wandb_project: huggingface
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+
+# change #
+gradient_accumulation_steps: 4
+micro_batch_size: 4
+num_epochs: 1
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.0002
+# change #
+
+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
+
+
+saves_per_epoch: 2
+debug:
+deepspeed:
+weight_decay: 0.1
+fsdp:
+fsdp_config:
+special_tokens:
+  bos_token: "<s>"
+  eos_token: "</s>"
+  unk_token: "<unk>"

configs/science_config_qlora.yml

@@ -0,0 +1,118 @@
+base_model: mistralai/Mistral-7B-v0.1
+model_type: MistralForCausalLM
+tokenizer_type: LlamaTokenizer
+is_mistral_derived_model: true
+
+load_in_8bit: false
+load_in_4bit: true
+strict: false
+
+datasets:
+  - path: sci-datasets/arc_challange_train_alpaca.json
+    ds_type: json
+    type: alpaca
+
+  - path: sci-datasets/camelai_biology_alpaca.json
+    ds_type: json
+    type: alpaca
+
+  - path: sci-datasets/camelai_chemistry_alpaca.json
+    ds_type: json
+    type: alpaca
+
+  - path: sci-datasets/camelai_physics_alpaca.json
+    ds_type: json
+    type: alpaca
+
+  - path: sci-datasets/openbookqa_alpaca.json
+    ds_type: json
+    type: alpaca
+
+  - path: sci-datasets/reclor_science_alpaca.json
+    ds_type: json
+    type: alpaca
+    
+  - path: sci-datasets/scibench_alpaca.json
+    ds_type: json
+    type: alpaca
+
+  - path: sci-datasets/scienceqa_alpaca.json
+    ds_type: json
+    type: alpaca
+
+  - path: sci-datasets/theoremqa_alpaca.json
+    ds_type: json
+    type: alpaca
+
+  - path: sci-datasets/tiger_scienceeval_alpaca.json
+    ds_type: json
+    type: alpaca
+
+dataset_prepared_path: last_run_prepared
+val_set_size: 0
+output_dir: ./science-mistral
+
+adapter: qlora
+lora_model_dir:
+
+sequence_len: 8192
+sample_packing: true
+pad_to_sequence_len: true
+
+lora_r: 128
+lora_alpha: 64
+lora_dropout: 0.05
+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
+
+wandb_project: huggingface
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+hub_model_id: Weyaxi/science-mistral
+
+# change #
+gradient_accumulation_steps: 12
+micro_batch_size: 6
+num_epochs: 2
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.0002
+# change #
+
+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
+
+
+saves_per_epoch: 3
+debug:
+deepspeed:
+weight_decay: 0.1
+fsdp:
+fsdp_config:
+special_tokens:
+  bos_token: "<s>"
+  eos_token: "</s>"
+  unk_token: "<unk>"

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

generation_config.json

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+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.37.0"
+}

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special_tokens_map.json

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tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
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+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
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+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
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+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
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+  "use_default_system_prompt": false,
+  "use_fast": true
+}