Invalid-Null
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Browse files- README.md +42 -0
- config.json +29 -0
- configuration.json +4 -0
- generation_config.json +10 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +298 -0
- sft_args.json +230 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +53 -0
README.md
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# 北洋微衍V0.6/PeiYang MicroEmergence-0.6
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## 模型曾用名 / Model Name History
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此模型在开发过程中经历了以下命名阶段:
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This model has gone through the following naming stages during development:
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* 早期阶段 / Initial Stage:
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Invalid-Null/Non-Null
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* 发展阶段 / Development Stage:
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天津大学/北洋微衍 (Tianjin University/Peiyang MicroDerivation)
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* 当前版本 / Current Release:
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天津大学/北洋微衍 (Tianjin University/Peiyang MicroEmergence)
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## 模型概述 / Model Overview
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本模型专注于计算催化领域,特别是丙烷脱氢(PDH)过程。
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This model focuses on computational catalysis, specifically designed for propane dehydrogenation (PDH) processes.
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## 技术基础 / Technical Foundation
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* 基础框架 / Base Framework:
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基于ModelScope的ms-swift框架开发
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Developed using ModelScope's ms-swift framework
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* 基础模型 / Base Model:
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基于零一万物的Yi系列6B模型训练,包括yi-6B、yi-6B-chat、yi-1.5-6B、yi-1.5-6B-chat
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Fine-tuned on 01.AI's Yi-6B series model, including yi-6B, yi-6B-chat, yi-1.5-6B and yi-1.5-6B-chat
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## 当前状态 / Current Status
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详细的技术规格和性能指标将在相关研究论文发表后提供。
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Detailed technical specifications and performance metrics will be available upon publication of our research paper.
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## 致谢 / Acknowledgments
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特别感谢以下开源项目的贡献:
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We would like to acknowledge the contributions of the following open-source projects:
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* ModelScope的ms-swift框架 / ModelScope's ms-swift framework
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* 零一万物的Yi系列模型 / 01.AI's Yi series models
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config.json
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{
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"_name_or_path": "/data/home/wusc/.cache/modelscope/hub/01ai/Yi-1___5-6B-Chat",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 4,
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"pad_token_id": 0,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 5000000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.40.2",
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"use_cache": false,
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"vocab_size": 64000
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}
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configuration.json
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{
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"framework": "Pytorch",
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"task": "text-generation"
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}
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generation_config.json
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{
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"do_sample": true,
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"eos_token_id": 7,
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"max_new_tokens": 2048,
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"pad_token_id": 0,
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"temperature": 0.3,
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"top_k": 20,
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"top_p": 0.7,
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"transformers_version": "4.40.2"
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}
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"num_beams": 1,
|
198 |
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"fsdp": "",
|
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"fsdp_config": null,
|
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|
201 |
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"per_device_train_batch_size": null,
|
202 |
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"per_device_eval_batch_size": null,
|
203 |
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"self_cognition_sample": 8192,
|
204 |
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"train_dataset_mix_ratio": 0.0,
|
205 |
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"train_dataset_mix_ds": [
|
206 |
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"ms-bench"
|
207 |
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],
|
208 |
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"train_dataset_sample": -1,
|
209 |
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"val_dataset_sample": -1,
|
210 |
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"safe_serialization": null,
|
211 |
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"only_save_model": null,
|
212 |
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"neftune_alpha": null,
|
213 |
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"deepspeed_config_path": null,
|
214 |
+
"model_cache_dir": null,
|
215 |
+
"custom_train_dataset_path": [],
|
216 |
+
"custom_val_dataset_path": [],
|
217 |
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"use_self_cognition": true,
|
218 |
+
"lora_use_embedding": true,
|
219 |
+
"lora_use_all": true,
|
220 |
+
"lora_m2s_use_embedding": false,
|
221 |
+
"lora_m2s_use_ln": false,
|
222 |
+
"torch_dtype": "torch.float16",
|
223 |
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"fp16": true,
|
224 |
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"bf16": false,
|
225 |
+
"bnb_4bit_compute_dtype": "torch.float16",
|
226 |
+
"load_in_4bit": false,
|
227 |
+
"load_in_8bit": false,
|
228 |
+
"train_sampler_random": true,
|
229 |
+
"training_args": "Seq2SeqTrainingArguments(output_dir='/data/home/wusc/CatalGPT/SwiftLog/output/yi-1.5-6b-chat/v23-20240525-003630.833747489', overwrite_output_dir=False, do_train=False, do_eval=True, do_predict=False, evaluation_strategy=<IntervalStrategy.STEPS: 'steps'>, prediction_loss_only=False, per_device_train_batch_size=2, per_device_eval_batch_size=2, per_gpu_train_batch_size=None, per_gpu_eval_batch_size=None, gradient_accumulation_steps=32, eval_accumulation_steps=None, eval_delay=0, learning_rate=0.0002, weight_decay=0.1, adam_beta1=0.9, adam_beta2=0.999, adam_epsilon=1e-08, max_grad_norm=0.5, num_train_epochs=2, max_steps=-1, lr_scheduler_type=<SchedulerType.COSINE: 'cosine'>, lr_scheduler_kwargs={}, warmup_ratio=0.1, warmup_steps=0, log_level='passive', log_level_replica='warning', log_on_each_node=True, logging_dir='/data/home/wusc/CatalGPT/SwiftLog/output/yi-1.5-6b-chat/v23-20240525-003630.833747489/runs', logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_first_step=True, logging_steps=5, logging_nan_inf_filter=True, save_strategy=<IntervalStrategy.STEPS: 'steps'>, save_steps=160, save_total_limit=2, save_safetensors=True, save_on_each_node=True, save_only_model=False, no_cuda=False, use_cpu=False, use_mps_device=False, seed=42, data_seed=None, jit_mode_eval=False, use_ipex=False, bf16=False, fp16=True, fp16_opt_level='O1', half_precision_backend='auto', bf16_full_eval=False, fp16_full_eval=False, tf32=None, local_rank=0, ddp_backend='nccl', tpu_num_cores=None, tpu_metrics_debug=False, debug=[], dataloader_drop_last=False, eval_steps=160, dataloader_num_workers=4, dataloader_prefetch_factor=None, past_index=-1, run_name='/data/home/wusc/CatalGPT/SwiftLog/output/yi-1.5-6b-chat/v23-20240525-003630.833747489', disable_tqdm=False, remove_unused_columns=False, label_names=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, fsdp=[], fsdp_min_num_params=0, fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, fsdp_transformer_layer_cls_to_wrap=None, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=None, even_batches=True, use_seedable_sampler=True, gradient_accumulation_kwargs=None), deepspeed=None, label_smoothing_factor=0.0, optim=<OptimizerNames.ADAMW_TORCH: 'adamw_torch'>, optim_args=None, adafactor=False, group_by_length=False, length_column_name='length', report_to=['tensorboard'], ddp_find_unused_parameters=False, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=False, dataloader_pin_memory=True, dataloader_persistent_workers=False, skip_memory_metrics=True, use_legacy_prediction_loop=False, push_to_hub=False, resume_from_checkpoint=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_token=None, hub_private_repo=False, hub_always_push=False, gradient_checkpointing=True, gradient_checkpointing_kwargs=None, include_inputs_for_metrics=False, eval_do_concat_batches=True, fp16_backend='auto', push_to_hub_model_id=None, push_to_hub_organization=None, push_to_hub_token=None, mp_parameters='', auto_find_batch_size=False, full_determinism=False, torchdynamo=None, ray_scope='last', ddp_timeout=1800, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, dispatch_batches=None, split_batches=None, include_tokens_per_second=False, include_num_input_tokens_seen=False, neftune_noise_alpha=5.0, optim_target_modules=None, sortish_sampler=True, predict_with_generate=False, generation_max_length=None, generation_num_beams=None, generation_config=GenerationConfig {\n \"do_sample\": true,\n \"eos_token_id\": 7,\n \"max_new_tokens\": 2048,\n \"pad_token_id\": 0,\n \"temperature\": 0.3,\n \"top_k\": 20,\n \"top_p\": 0.7\n}\n, train_sampler_random=True, push_hub_strategy='push_best', acc_strategy='token', additional_saved_files=[])"
|
230 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<|startoftext|>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": true,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "<|im_end|>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "<unk>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": true,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": true,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
tokenizer.json
ADDED
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|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:386c49cf943d71aa110361135338c50e38beeff0a66593480421f37b319e1a39
|
3 |
+
size 1033105
|
tokenizer_config.json
ADDED
@@ -0,0 +1,53 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": true,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": true,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<|startoftext|>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": true,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "<|endoftext|>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": true,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
},
|
30 |
+
"7": {
|
31 |
+
"content": "<|im_end|>",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false,
|
36 |
+
"special": true
|
37 |
+
}
|
38 |
+
},
|
39 |
+
"bos_token": "<|startoftext|>",
|
40 |
+
"chat_template": "{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ system_message }}{% 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 %}",
|
41 |
+
"clean_up_tokenization_spaces": false,
|
42 |
+
"eos_token": "<|im_end|>",
|
43 |
+
"legacy": true,
|
44 |
+
"model_max_length": 4096,
|
45 |
+
"pad_token": "<unk>",
|
46 |
+
"padding_side": "right",
|
47 |
+
"sp_model_kwargs": {},
|
48 |
+
"spaces_between_special_tokens": false,
|
49 |
+
"split_special_tokens": false,
|
50 |
+
"tokenizer_class": "LlamaTokenizer",
|
51 |
+
"unk_token": "<unk>",
|
52 |
+
"use_default_system_prompt": false
|
53 |
+
}
|