commit e2eaaaaacdebcc0b697b6f0d1b20d5361d640b41 Author: ModelHub XC Date: Tue Jun 2 20:19:12 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: Weyaxi/Einstein-v2-7B Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..7189f04 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,49 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bin.* filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zstandard filter=lfs diff=lfs merge=lfs -text +*.tfevents* filter=lfs diff=lfs merge=lfs -text +*.db* filter=lfs diff=lfs merge=lfs -text +*.ark* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.gguf* filter=lfs diff=lfs merge=lfs -text +*.ggml filter=lfs diff=lfs merge=lfs -text +*.llamafile* filter=lfs diff=lfs merge=lfs -text +*.pt2 filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text + +data/merged_all.json filter=lfs diff=lfs merge=lfs -text \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..18df51f --- /dev/null +++ b/README.md @@ -0,0 +1,163 @@ +--- +license: apache-2.0 +tags: +- axolotl +- generated_from_trainer +base_model: mistralai/Mistral-7B-v0.1 +model-index: +- name: einstein-v2-test-model + results: [] +--- +![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/uvfa4GVWrnd8SS6yBxRJZ.jpeg) + +# Version 2 of [Weyaxi/Einstein-7B](https://hf.co/Weyaxi/Einstein-7B) + + +[Built with Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) +
See axolotl config + +axolotl version: `0.4.0` +```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: false +strict: false + +datasets: + - path: merged_all.json + ds_type: json + type: alpaca + conversation: chatml + +dataset_prepared_path: last_run_prepared +val_set_size: 0.005 +output_dir: ./einstein-v2-test-model + +sequence_len: 8192 +sample_packing: true +pad_to_sequence_len: true +eval_sample_packing: false + +wandb_project: huggingface +wandb_entity: +wandb_watch: +wandb_name: +wandb_log_model: +hub_model_id: Weyaxi/einstein-v2-test-model + +save_safetensors: true + +gradient_accumulation_steps: 4 +micro_batch_size: 1 +num_epochs: 1 +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: 2 +debug: + +deepspeed: zero3_bf16.json +weight_decay: 0.0 +fsdp: +fsdp_config: +special_tokens: + bos_token: "" + eos_token: "<|im_end|>" + unk_token: "" +tokens: + - "<|im_start|>" +``` + +

+ +# einstein-v2-test-model + +This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset. +It achieves the following results on the evaluation set: +- Loss: 1.3838 + +## 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: 1 +- eval_batch_size: 1 +- seed: 42 +- distributed_type: multi-GPU +- num_devices: 8 +- gradient_accumulation_steps: 4 +- total_train_batch_size: 32 +- total_eval_batch_size: 8 +- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 +- lr_scheduler_type: cosine +- lr_scheduler_warmup_steps: 10 +- num_epochs: 1 + +### Training results + +| Training Loss | Epoch | Step | Validation Loss | +|:-------------:|:-----:|:----:|:---------------:| +| 1.0376 | 0.0 | 1 | 1.9459 | +| 0.5117 | 0.25 | 59 | 1.4740 | +| 0.5293 | 0.5 | 118 | 1.4116 | +| 0.5243 | 0.76 | 177 | 1.3838 | + + +### Framework versions + +- Transformers 4.38.0.dev0 +- Pytorch 2.1.2+cu118 +- Datasets 2.16.1 +- Tokenizers 0.15.0 + +# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) +Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__Einstein-v2-7B) + +| Metric |Value| +|---------------------------------|----:| +|Avg. |63.48| +|AI2 Reasoning Challenge (25-Shot)|62.37| +|HellaSwag (10-Shot) |83.46| +|MMLU (5-Shot) |62.08| +|TruthfulQA (0-shot) |50.52| +|Winogrande (5-shot) |79.32| +|GSM8k (5-shot) |43.14| + diff --git a/added_tokens.json b/added_tokens.json new file mode 100644 index 0000000..e36863d --- /dev/null +++ b/added_tokens.json @@ -0,0 +1,4 @@ +{ + "<|im_end|>": 32000, + "<|im_start|>": 32001 +} diff --git a/config.json b/config.json new file mode 100644 index 0000000..7b4a008 --- /dev/null +++ b/config.json @@ -0,0 +1,26 @@ +{ + "_name_or_path": "mistralai/Mistral-7B-v0.1", + "architectures": [ + "MistralForCausalLM" + ], + "attention_dropout": 0.0, + "bos_token_id": 1, + "eos_token_id": 32000, + "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": "4.38.0.dev0", + "use_cache": false, + "vocab_size": 32002 +} diff --git a/configuration.json b/configuration.json new file mode 100644 index 0000000..bbeeda1 --- /dev/null +++ b/configuration.json @@ -0,0 +1 @@ +{"framework": "pytorch", "task": "text-generation", 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