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Browse files- README.md +59 -0
- adapter_config.json +29 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +5 -0
- all_results.json +8 -0
- merges.txt +0 -0
- running_log.txt +0 -0
- special_tokens_map.json +20 -0
- tokenizer.json +0 -0
- tokenizer_config.json +44 -0
- train_results.json +8 -0
- trainer_config.yaml +28 -0
- trainer_log.jsonl +0 -0
- trainer_state.json +0 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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license: other
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library_name: peft
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tags:
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- llama-factory
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- lora
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- generated_from_trainer
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base_model: Qwen/Qwen1.5-4B-Chat
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model-index:
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- name: sft_seed_alpaca
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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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# sft_seed_alpaca
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This model is a fine-tuned version of [/datas/huggingface/Qwen1.5-4B-Chat](https://huggingface.co//datas/huggingface/Qwen1.5-4B-Chat) on the LangGPT_community, the LangGPT_alpaca and the LangGPT_seed datasets.
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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: 5e-05
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 16
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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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- num_epochs: 10.0
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.40.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "Qwen/Qwen1.5-4B-Chat",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_dropout": 0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"q_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c9338c34231d28f5eed89f4588c3090d7aa113ba0d6b28ba915e947ff259a3a2
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size 13128368
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added_tokens.json
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{
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"<|endoftext|>": 151643,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644
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}
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all_results.json
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{
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"epoch": 9.995311767463667,
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"total_flos": 2.0390102199001498e+18,
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"train_loss": 0.6701084950627798,
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"train_runtime": 53408.5307,
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"train_samples_per_second": 1.597,
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"train_steps_per_second": 0.1
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}
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merges.txt
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running_log.txt
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>"
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],
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"eos_token": {
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"content": "<|im_end|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"151643": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"151644": {
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"content": "<|im_start|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"151645": {
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"content": "<|im_end|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>"
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],
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"bos_token": null,
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"chat_template": "{% set system_message = 'You are a helpful assistant.' %}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|im_start|>system\\n' + system_message + '<|im_end|>\\n' }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|im_start|>user\\n' + content + '<|im_end|>\\n<|im_start|>assistant\\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|im_end|>' + '\\n' }}{% endif %}{% endfor %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"model_max_length": 32768,
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"pad_token": "<|endoftext|>",
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"padding_side": "right",
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null
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}
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train_results.json
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{
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"epoch": 9.995311767463667,
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"total_flos": 2.0390102199001498e+18,
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"train_loss": 0.6701084950627798,
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"train_runtime": 53408.5307,
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"train_samples_per_second": 1.597,
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"train_steps_per_second": 0.1
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}
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trainer_config.yaml
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cutoff_len: 4096
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dataset: LangGPT_community,LangGPT_alpaca,LangGPT_seed
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dataset_dir: /datas/wangm/LLM4LangGPT
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do_train: true
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finetuning_type: lora
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flash_attn: auto
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fp16: true
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gradient_accumulation_steps: 8
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learning_rate: 5.0e-05
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logging_steps: 5
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lora_alpha: 16
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lora_dropout: 0
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lora_rank: 8
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lora_target: q_proj,v_proj
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lr_scheduler_type: cosine
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max_grad_norm: 1.0
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max_samples: 100000
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model_name_or_path: Qwen/Qwen1.5-4B-Chat
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num_train_epochs: 10.0
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optim: adamw_torch
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output_dir: /datas/wangm/LLM4LangGPT/output/Qwen1.5-4B-Chat/sft_seed_alpaca
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packing: false
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per_device_train_batch_size: 2
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report_to: none
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save_steps: 100
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stage: sft
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template: qwen
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warmup_steps: 0
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trainer_log.jsonl
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trainer_state.json
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:177df806846c802e99d4e6e46360ca0a14d188f214a48da1765a5fa61005cfe9
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size 5240
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vocab.json
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