初始化项目，由ModelHub XC社区提供模型
Model: Edens-Gate/Henbane-7b-attempt2 Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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library_name: transformers
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tags:
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- generated_from_trainer
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base_model: Qwen/Qwen2-7B
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model-index:
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- name: outputs/Qwen7b
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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[<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)
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<details><summary>See axolotl config</summary>
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axolotl version: `0.4.1`
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```yaml
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base_model: Qwen/Qwen2-7B
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model_type: AutoModelForCausalLM
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tokenizer_type: AutoTokenizer
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trust_remote_code: true
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load_in_8bit: false
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load_in_4bit: false
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strict: false
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datasets:
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- path: PocketDoc/Dans-MemoryCore-CoreCurriculum-Small
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type: sharegpt
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conversation: chatml
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# - path: NewEden/vanilla-backrooms-claude-sharegpt
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# type: sharegpt
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# conversation: chatml
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- path: anthracite-org/kalo_opus_misc_240827
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type: sharegpt
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conversation: chatml
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type: sharegpt
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conversation: chatml
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- path: AquaV/Chemical-Biological-Safety-Applications-Sharegpt
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type: sharegpt
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conversation: chatml
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- path: AquaV/Energetic-Materials-Sharegpt
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type: sharegpt
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conversation: chatml
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- path: lodrick-the-lafted/NopmWritingStruct
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type: sharegpt
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conversation: chatml
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- path: NewEden/Claude-Instruct-5k
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type: sharegpt
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conversation: chatml
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- path: lodrick-the-lafted/kalo-opus-instruct-3k-filtered
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type: sharegpt
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conversation: chatml
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- path: anthracite-org/kalo-opus-instruct-22k-no-refusal
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type: sharegpt
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conversation: chatml
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- path: NewEden/Stheno-Data-filtered-8k-subset
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type: sharegpt
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conversation: chatml
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- path: Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
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type: sharegpt
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conversation: chatml
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- path: PJMixers/lodrick-the-lafted_OpusStories-ShareGPT
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type: sharegpt
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conversation: chatml
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chat_template: chatml
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dataset_prepared_path:
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val_set_size: 0.01
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output_dir: ./outputs/Qwen7b
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sequence_len: 8192
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sample_packing: true
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eval_sample_packing: false
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pad_to_sequence_len: true
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adapter:
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lora_model_dir:
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lora_r:
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lora_alpha:
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lora_dropout:
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lora_target_linear: true
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lora_fan_in_fan_out:
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wandb_project: henbane 7b-attempt2
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wandb_entity:
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wandb_watch:
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wandb_name: henbane 7b-attempt2
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wandb_log_model:
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plugins:
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- axolotl.integrations.liger.LigerPlugin
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liger_rope: true
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liger_rms_norm: true
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liger_swiglu: true
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liger_fused_linear_cross_entropy: true
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gradient_accumulation_steps: 32
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micro_batch_size: 1
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num_epochs: 2
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optimizer: adamw_torch
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lr_scheduler: cosine
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learning_rate: 0.00002
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train_on_inputs: false
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group_by_length: false
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bf16: auto
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fp16:
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tf32: true
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gradient_checkpointing: true
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gradient_checkpointing_kwargs:
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use_reentrant: false
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early_stopping_patience:
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resume_from_checkpoint:
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local_rank:
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logging_steps: 1
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xformers_attention:
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flash_attention: true
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warmup_steps: 10
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evals_per_epoch: 4
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saves_per_epoch: 1
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debug:
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weight_decay: 0.5
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special_tokens:
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```
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</details><br>
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# outputs/Qwen7b
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This model is a fine-tuned version of [Qwen/Qwen2-7B](https://huggingface.co/Qwen/Qwen2-7B) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0222
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 2
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- gradient_accumulation_steps: 32
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- total_train_batch_size: 64
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- total_eval_batch_size: 2
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 10
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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.4212 | 0.0077 | 1 | 1.4377 |
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| 1.1822 | 0.2543 | 33 | 1.1101 |
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| 1.1671 | 0.5085 | 66 | 1.0674 |
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| 1.1008 | 0.7628 | 99 | 1.0414 |
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| 1.004 | 1.0019 | 132 | 1.0255 |
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| 0.8963 | 1.2562 | 165 | 1.0312 |
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| 0.8914 | 1.5105 | 198 | 1.0255 |
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| 0.8788 | 1.7647 | 231 | 1.0222 |
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### Framework versions
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- Transformers 4.45.0.dev0
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- Pytorch 2.4.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Delta-Vector__Henbane-7b-attempt2)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |23.47|
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|IFEval (0-Shot) |41.57|
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|BBH (3-Shot) |30.87|
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|MATH Lvl 5 (4-Shot)|20.69|
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|GPQA (0-shot) | 5.37|
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|MuSR (0-shot) | 8.70|
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|MMLU-PRO (5-shot) |33.64|
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