commit from szc

misinformation_1620M/Qwen1.5-4B/README.md

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+---
+license: other
+base_model: /mnt/petrelfs/share_data/quxiaoye/models/Qwen1.5-4B
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: Qwen1.5-4B
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Qwen1.5-4B
+
+This model is a fine-tuned version of [/mnt/petrelfs/share_data/quxiaoye/models/Qwen1.5-4B](https://huggingface.co//mnt/petrelfs/share_data/quxiaoye/models/Qwen1.5-4B) on the misinformation_1620M dataset.
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 256
+- total_eval_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- training_steps: 4500
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.2+cu118
+- Datasets 2.17.1
+- Tokenizers 0.15.2

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misinformation_1620M/Qwen1.5-4B/all_results.json

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+    "train_steps_per_second": 0.164
+}

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+  "_name_or_path": "/mnt/petrelfs/share_data/quxiaoye/models/Qwen1.5-4B",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
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+  "initializer_range": 0.02,
+  "intermediate_size": 6912,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 21,
+  "model_type": "qwen2",
+  "num_attention_heads": 20,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 20,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 5000000.0,
+  "sliding_window": 32768,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.37.2",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

misinformation_1620M/Qwen1.5-4B/generation_config.json

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+  "max_new_tokens": 2048,
+  "transformers_version": "4.37.2"
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semantic_1620M/Qwen1.5-4B/README.md

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+---
+license: other
+base_model: /mnt/petrelfs/share_data/quxiaoye/models/Qwen1.5-4B
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: Qwen1.5-4B
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Qwen1.5-4B
+
+This model is a fine-tuned version of [/mnt/petrelfs/share_data/quxiaoye/models/Qwen1.5-4B](https://huggingface.co//mnt/petrelfs/share_data/quxiaoye/models/Qwen1.5-4B) on the semantic_1620M dataset.
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 256
+- total_eval_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- training_steps: 4500
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.2+cu118
+- Datasets 2.17.1
+- Tokenizers 0.15.2

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+  "torch_dtype": "float32",
+  "transformers_version": "4.37.2",
+  "use_cache": false,
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+  "vocab_size": 151936
+}

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+  "max_new_tokens": 2048,
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semantic_1620M/Qwen1.5-4B/tokenizer_config.json

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+  "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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semantic_1620M/Qwen1.5-4B/train_results.json

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+    "train_runtime": 27492.1841,
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+    "train_steps_per_second": 0.164
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temporal_1620M/Qwen1.5-4B/README.md

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+---
+license: other
+base_model: /mnt/petrelfs/share_data/quxiaoye/models/Qwen1.5-4B
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: Qwen1.5-4B
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Qwen1.5-4B
+
+This model is a fine-tuned version of [/mnt/petrelfs/share_data/quxiaoye/models/Qwen1.5-4B](https://huggingface.co//mnt/petrelfs/share_data/quxiaoye/models/Qwen1.5-4B) on the temporal_1620M dataset.
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 256
+- total_eval_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- training_steps: 4500
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.2+cu118
+- Datasets 2.17.1
+- Tokenizers 0.15.2

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+  "<|im_start|>": 151644
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temporal_1620M/Qwen1.5-4B/all_results.json

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+    "train_steps_per_second": 0.164
+}

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+  "_name_or_path": "/mnt/petrelfs/share_data/quxiaoye/models/Qwen1.5-4B",
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+    "Qwen2ForCausalLM"
+  ],
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+  "hidden_act": "silu",
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+  "initializer_range": 0.02,
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+  "max_position_embeddings": 32768,
+  "max_window_layers": 21,
+  "model_type": "qwen2",
+  "num_attention_heads": 20,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 20,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 5000000.0,
+  "sliding_window": 32768,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.37.2",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

temporal_1620M/Qwen1.5-4B/generation_config.json

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+  "eos_token_id": 151643,
+  "max_new_tokens": 2048,
+  "transformers_version": "4.37.2"
+}

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