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--- |
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license: other |
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base_model: Qwen/Qwen2-7B |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: qwen2-7b |
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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/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) |
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<details><summary>See axolotl config</summary> |
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axolotl version: `0.4.0` |
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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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tokenizer_use_fast: true |
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# load_in_8bit: true |
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# load_in_4bit: false |
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# strict: false |
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datasets: |
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- path: /workspace/datasets/dolphin-2.9.2/dolphin201-sharegpt2.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.2/dolphin-coder-codegen-sharegpt2.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.2/dolphin-coder-translate-sharegpt2.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.2/m-a-p_Code-Feedback-sharegpt-unfiltered.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.2/m-a-p_CodeFeedback-Filtered-Instruction-sharegpt-unfiltered.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.2/not_samantha_norefusals.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.2/openhermes200k_unfiltered.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.2/Orca-Math-resort-unfiltered.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.2/SystemChat_sharegpt.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.2/toolbench_instruct_j1s1_3k_unfiltered.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.2/toolbench_negative_unfiltered.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.2/toolbench_react_10p_unfiltered.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.2/toolbench_tflan_cot_30p_unfiltered.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.2/agent_instruct_react_unfiltered.jsonl |
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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: qwen2-7b-data |
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val_set_size: 0.01 |
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output_dir: qwen2-7b |
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sequence_len: 16384 |
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sample_packing: true |
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pad_to_sequence_len: true |
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# adapter: lora |
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# lora_model_dir: |
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# lora_r: 32 |
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# lora_alpha: 16 |
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# lora_dropout: 0.05 |
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# lora_target_linear: true |
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# lora_fan_in_fan_out: |
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wandb_project: qwen2-72b |
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wandb_entity: |
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wandb_watch: |
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wandb_name: |
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wandb_log_model: |
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gradient_accumulation_steps: 8 |
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micro_batch_size: 1 |
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num_epochs: 3 |
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optimizer: adamw_8bit |
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lr_scheduler: cosine |
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learning_rate: 1e-5 |
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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: false |
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gradient_checkpointing: true |
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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: 2 |
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eval_table_size: |
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eval_max_new_tokens: 128 |
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saves_per_epoch: 4 |
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save_total_limit: 2 |
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debug: |
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deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16.json |
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weight_decay: 0.05 |
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fsdp: |
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fsdp_config: |
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special_tokens: |
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pad_token: "<|endoftext|>" |
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eos_token: "<|im_end|>" |
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``` |
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</details><br> |
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# qwen2-7b |
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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: 0.5746 |
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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: 1e-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: 8 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 8 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.7835 | 0.0014 | 1 | 0.7811 | |
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| 0.597 | 0.4998 | 355 | 0.6048 | |
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| 0.5885 | 0.9996 | 710 | 0.5834 | |
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| 0.5216 | 1.4805 | 1065 | 0.5770 | |
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| 0.5407 | 1.9803 | 1420 | 0.5697 | |
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| 0.4955 | 2.4611 | 1775 | 0.5752 | |
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| 0.487 | 2.9609 | 2130 | 0.5746 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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