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Model: mlfoundations-dev/c1_math_0d_4s_1k Source: Original Platform
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README.md
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---
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library_name: transformers
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license: other
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base_model: Qwen/Qwen2.5-7B-Instruct
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: c1_math_0d_4s_1k
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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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# c1_math_0d_4s_1k
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This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the mlfoundations-dev/c1_math_0d_4s_1k dataset.
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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: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 16
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- gradient_accumulation_steps: 6
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- total_train_batch_size: 96
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- total_eval_batch_size: 128
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 7.0
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### Training results
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### Framework versions
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- Transformers 4.46.1
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- Pytorch 2.6.0a0+ecf3bae40a.nv25.01
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- Datasets 3.5.0
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- Tokenizers 0.20.3
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}
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{
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"epoch": 6.666666666666667,
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"total_flos": 2.3990446016220365e+17,
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"train_steps_per_second": 0.025
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}
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config.json
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"_name_or_path": "/p/data1/mmlaion/dcft/hub/models--Qwen--Qwen2.5-7B-Instruct/snapshots/a09a35458c702b33eeacc393d103063234e8bc28",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"initializer_range": 0.02,
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"intermediate_size": 18944,
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"max_position_embeddings": 32768,
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"max_window_layers": 28,
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"model_type": "qwen2",
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"num_attention_heads": 28,
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"num_hidden_layers": 28,
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"num_key_value_heads": 4,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 1000000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.46.1",
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 152064
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}
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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"temperature": 0.7,
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"top_p": 0.8,
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Normal file
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|
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@@ -0,0 +1 @@
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|
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Normal file
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|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151656": {
|
||||||
|
"content": "<|video_pad|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151657": {
|
||||||
|
"content": "<tool_call>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151658": {
|
||||||
|
"content": "</tool_call>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151659": {
|
||||||
|
"content": "<|fim_prefix|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151660": {
|
||||||
|
"content": "<|fim_middle|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151661": {
|
||||||
|
"content": "<|fim_suffix|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151662": {
|
||||||
|
"content": "<|fim_pad|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151663": {
|
||||||
|
"content": "<|repo_name|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151664": {
|
||||||
|
"content": "<|file_sep|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"additional_special_tokens": [
|
||||||
|
"<|im_start|>",
|
||||||
|
"<|im_end|>",
|
||||||
|
"<|object_ref_start|>",
|
||||||
|
"<|object_ref_end|>",
|
||||||
|
"<|box_start|>",
|
||||||
|
"<|box_end|>",
|
||||||
|
"<|quad_start|>",
|
||||||
|
"<|quad_end|>",
|
||||||
|
"<|vision_start|>",
|
||||||
|
"<|vision_end|>",
|
||||||
|
"<|vision_pad|>",
|
||||||
|
"<|image_pad|>",
|
||||||
|
"<|video_pad|>"
|
||||||
|
],
|
||||||
|
"bos_token": null,
|
||||||
|
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
||||||
|
"clean_up_tokenization_spaces": false,
|
||||||
|
"eos_token": "<|endoftext|>",
|
||||||
|
"errors": "replace",
|
||||||
|
"model_max_length": 131072,
|
||||||
|
"pad_token": "<|endoftext|>",
|
||||||
|
"padding_side": "right",
|
||||||
|
"split_special_tokens": false,
|
||||||
|
"tokenizer_class": "Qwen2Tokenizer",
|
||||||
|
"unk_token": null
|
||||||
|
}
|
||||||
8
train_results.json
Normal file
8
train_results.json
Normal file
@@ -0,0 +1,8 @@
|
|||||||
|
{
|
||||||
|
"epoch": 6.666666666666667,
|
||||||
|
"total_flos": 2.3990446016220365e+17,
|
||||||
|
"train_loss": 0.4939488410949707,
|
||||||
|
"train_runtime": 2825.0166,
|
||||||
|
"train_samples_per_second": 2.478,
|
||||||
|
"train_steps_per_second": 0.025
|
||||||
|
}
|
||||||
71
trainer_log.jsonl
Normal file
71
trainer_log.jsonl
Normal file
@@ -0,0 +1,71 @@
|
|||||||
|
{"current_steps": 1, "total_steps": 70, "loss": 0.8419, "lr": 2.8571428571428573e-06, "epoch": 0.09523809523809523, "percentage": 1.43, "elapsed_time": "0:00:46", "remaining_time": "0:53:47"}
|
||||||
|
{"current_steps": 2, "total_steps": 70, "loss": 0.8347, "lr": 5.7142857142857145e-06, "epoch": 0.19047619047619047, "percentage": 2.86, "elapsed_time": "0:01:24", "remaining_time": "0:47:53"}
|
||||||
|
{"current_steps": 3, "total_steps": 70, "loss": 0.7892, "lr": 8.571428571428571e-06, "epoch": 0.2857142857142857, "percentage": 4.29, "elapsed_time": "0:02:02", "remaining_time": "0:45:34"}
|
||||||
|
{"current_steps": 4, "total_steps": 70, "loss": 0.7191, "lr": 1.1428571428571429e-05, "epoch": 0.38095238095238093, "percentage": 5.71, "elapsed_time": "0:02:37", "remaining_time": "0:43:24"}
|
||||||
|
{"current_steps": 5, "total_steps": 70, "loss": 0.7275, "lr": 1.4285714285714287e-05, "epoch": 0.47619047619047616, "percentage": 7.14, "elapsed_time": "0:03:14", "remaining_time": "0:42:02"}
|
||||||
|
{"current_steps": 6, "total_steps": 70, "loss": 0.7245, "lr": 1.7142857142857142e-05, "epoch": 0.5714285714285714, "percentage": 8.57, "elapsed_time": "0:03:51", "remaining_time": "0:41:05"}
|
||||||
|
{"current_steps": 7, "total_steps": 70, "loss": 0.6869, "lr": 2e-05, "epoch": 0.6666666666666666, "percentage": 10.0, "elapsed_time": "0:04:28", "remaining_time": "0:40:17"}
|
||||||
|
{"current_steps": 8, "total_steps": 70, "loss": 0.6701, "lr": 1.9987569212189224e-05, "epoch": 0.7619047619047619, "percentage": 11.43, "elapsed_time": "0:05:07", "remaining_time": "0:39:43"}
|
||||||
|
{"current_steps": 9, "total_steps": 70, "loss": 0.6473, "lr": 1.9950307753654016e-05, "epoch": 0.8571428571428571, "percentage": 12.86, "elapsed_time": "0:05:45", "remaining_time": "0:39:02"}
|
||||||
|
{"current_steps": 10, "total_steps": 70, "loss": 0.6124, "lr": 1.9888308262251286e-05, "epoch": 0.9523809523809523, "percentage": 14.29, "elapsed_time": "0:06:23", "remaining_time": "0:38:22"}
|
||||||
|
{"current_steps": 11, "total_steps": 70, "loss": 0.9323, "lr": 1.9801724878485438e-05, "epoch": 1.0476190476190477, "percentage": 15.71, "elapsed_time": "0:07:22", "remaining_time": "0:39:33"}
|
||||||
|
{"current_steps": 12, "total_steps": 70, "loss": 0.5877, "lr": 1.969077286229078e-05, "epoch": 1.1428571428571428, "percentage": 17.14, "elapsed_time": "0:08:01", "remaining_time": "0:38:47"}
|
||||||
|
{"current_steps": 13, "total_steps": 70, "loss": 0.5601, "lr": 1.955572805786141e-05, "epoch": 1.2380952380952381, "percentage": 18.57, "elapsed_time": "0:08:37", "remaining_time": "0:37:49"}
|
||||||
|
{"current_steps": 14, "total_steps": 70, "loss": 0.5828, "lr": 1.9396926207859085e-05, "epoch": 1.3333333333333333, "percentage": 20.0, "elapsed_time": "0:09:15", "remaining_time": "0:37:03"}
|
||||||
|
{"current_steps": 15, "total_steps": 70, "loss": 0.5557, "lr": 1.921476211870408e-05, "epoch": 1.4285714285714286, "percentage": 21.43, "elapsed_time": "0:09:55", "remaining_time": "0:36:24"}
|
||||||
|
{"current_steps": 16, "total_steps": 70, "loss": 0.5344, "lr": 1.900968867902419e-05, "epoch": 1.5238095238095237, "percentage": 22.86, "elapsed_time": "0:10:31", "remaining_time": "0:35:30"}
|
||||||
|
{"current_steps": 17, "total_steps": 70, "loss": 0.5558, "lr": 1.8782215733702286e-05, "epoch": 1.619047619047619, "percentage": 24.29, "elapsed_time": "0:11:08", "remaining_time": "0:34:43"}
|
||||||
|
{"current_steps": 18, "total_steps": 70, "loss": 0.5179, "lr": 1.8532908816321557e-05, "epoch": 1.7142857142857144, "percentage": 25.71, "elapsed_time": "0:11:45", "remaining_time": "0:33:57"}
|
||||||
|
{"current_steps": 19, "total_steps": 70, "loss": 0.529, "lr": 1.826238774315995e-05, "epoch": 1.8095238095238095, "percentage": 27.14, "elapsed_time": "0:12:24", "remaining_time": "0:33:18"}
|
||||||
|
{"current_steps": 20, "total_steps": 70, "loss": 0.528, "lr": 1.7971325072229227e-05, "epoch": 1.9047619047619047, "percentage": 28.57, "elapsed_time": "0:13:00", "remaining_time": "0:32:32"}
|
||||||
|
{"current_steps": 21, "total_steps": 70, "loss": 0.7894, "lr": 1.766044443118978e-05, "epoch": 2.0, "percentage": 30.0, "elapsed_time": "0:13:38", "remaining_time": "0:31:50"}
|
||||||
|
{"current_steps": 22, "total_steps": 70, "loss": 0.4923, "lr": 1.7330518718298263e-05, "epoch": 2.0952380952380953, "percentage": 31.43, "elapsed_time": "0:14:39", "remaining_time": "0:31:59"}
|
||||||
|
{"current_steps": 23, "total_steps": 70, "loss": 0.4884, "lr": 1.698236818086073e-05, "epoch": 2.1904761904761907, "percentage": 32.86, "elapsed_time": "0:15:16", "remaining_time": "0:31:13"}
|
||||||
|
{"current_steps": 24, "total_steps": 70, "loss": 0.4665, "lr": 1.6616858375968596e-05, "epoch": 2.2857142857142856, "percentage": 34.29, "elapsed_time": "0:15:56", "remaining_time": "0:30:33"}
|
||||||
|
{"current_steps": 25, "total_steps": 70, "loss": 0.4782, "lr": 1.6234898018587336e-05, "epoch": 2.380952380952381, "percentage": 35.71, "elapsed_time": "0:16:33", "remaining_time": "0:29:47"}
|
||||||
|
{"current_steps": 26, "total_steps": 70, "loss": 0.4858, "lr": 1.5837436722347902e-05, "epoch": 2.4761904761904763, "percentage": 37.14, "elapsed_time": "0:17:11", "remaining_time": "0:29:05"}
|
||||||
|
{"current_steps": 27, "total_steps": 70, "loss": 0.4796, "lr": 1.5425462638657597e-05, "epoch": 2.571428571428571, "percentage": 38.57, "elapsed_time": "0:17:48", "remaining_time": "0:28:21"}
|
||||||
|
{"current_steps": 28, "total_steps": 70, "loss": 0.4516, "lr": 1.5000000000000002e-05, "epoch": 2.6666666666666665, "percentage": 40.0, "elapsed_time": "0:18:25", "remaining_time": "0:27:38"}
|
||||||
|
{"current_steps": 29, "total_steps": 70, "loss": 0.4749, "lr": 1.4562106573531632e-05, "epoch": 2.761904761904762, "percentage": 41.43, "elapsed_time": "0:19:00", "remaining_time": "0:26:52"}
|
||||||
|
{"current_steps": 30, "total_steps": 70, "loss": 0.467, "lr": 1.4112871031306118e-05, "epoch": 2.857142857142857, "percentage": 42.86, "elapsed_time": "0:19:38", "remaining_time": "0:26:10"}
|
||||||
|
{"current_steps": 31, "total_steps": 70, "loss": 0.4706, "lr": 1.3653410243663953e-05, "epoch": 2.9523809523809526, "percentage": 44.29, "elapsed_time": "0:20:16", "remaining_time": "0:25:30"}
|
||||||
|
{"current_steps": 32, "total_steps": 70, "loss": 0.6569, "lr": 1.3184866502516846e-05, "epoch": 3.0476190476190474, "percentage": 45.71, "elapsed_time": "0:21:13", "remaining_time": "0:25:12"}
|
||||||
|
{"current_steps": 33, "total_steps": 70, "loss": 0.4292, "lr": 1.2708404681430054e-05, "epoch": 3.142857142857143, "percentage": 47.14, "elapsed_time": "0:21:53", "remaining_time": "0:24:32"}
|
||||||
|
{"current_steps": 34, "total_steps": 70, "loss": 0.4378, "lr": 1.2225209339563144e-05, "epoch": 3.238095238095238, "percentage": 48.57, "elapsed_time": "0:22:30", "remaining_time": "0:23:49"}
|
||||||
|
{"current_steps": 35, "total_steps": 70, "loss": 0.4262, "lr": 1.1736481776669307e-05, "epoch": 3.3333333333333335, "percentage": 50.0, "elapsed_time": "0:23:07", "remaining_time": "0:23:07"}
|
||||||
|
{"current_steps": 36, "total_steps": 70, "loss": 0.4253, "lr": 1.1243437046474854e-05, "epoch": 3.4285714285714284, "percentage": 51.43, "elapsed_time": "0:23:44", "remaining_time": "0:22:25"}
|
||||||
|
{"current_steps": 37, "total_steps": 70, "loss": 0.4342, "lr": 1.0747300935864245e-05, "epoch": 3.5238095238095237, "percentage": 52.86, "elapsed_time": "0:24:22", "remaining_time": "0:21:44"}
|
||||||
|
{"current_steps": 38, "total_steps": 70, "loss": 0.4293, "lr": 1.0249306917380731e-05, "epoch": 3.619047619047619, "percentage": 54.29, "elapsed_time": "0:25:00", "remaining_time": "0:21:03"}
|
||||||
|
{"current_steps": 39, "total_steps": 70, "loss": 0.416, "lr": 9.750693082619274e-06, "epoch": 3.7142857142857144, "percentage": 55.71, "elapsed_time": "0:25:36", "remaining_time": "0:20:21"}
|
||||||
|
{"current_steps": 40, "total_steps": 70, "loss": 0.423, "lr": 9.252699064135759e-06, "epoch": 3.8095238095238093, "percentage": 57.14, "elapsed_time": "0:26:15", "remaining_time": "0:19:41"}
|
||||||
|
{"current_steps": 41, "total_steps": 70, "loss": 0.4052, "lr": 8.756562953525151e-06, "epoch": 3.9047619047619047, "percentage": 58.57, "elapsed_time": "0:26:53", "remaining_time": "0:19:01"}
|
||||||
|
{"current_steps": 42, "total_steps": 70, "loss": 0.6213, "lr": 8.263518223330698e-06, "epoch": 4.0, "percentage": 60.0, "elapsed_time": "0:27:30", "remaining_time": "0:18:20"}
|
||||||
|
{"current_steps": 43, "total_steps": 70, "loss": 0.3984, "lr": 7.774790660436857e-06, "epoch": 4.095238095238095, "percentage": 61.43, "elapsed_time": "0:28:27", "remaining_time": "0:17:52"}
|
||||||
|
{"current_steps": 44, "total_steps": 70, "loss": 0.3867, "lr": 7.291595318569951e-06, "epoch": 4.190476190476191, "percentage": 62.86, "elapsed_time": "0:29:04", "remaining_time": "0:17:10"}
|
||||||
|
{"current_steps": 45, "total_steps": 70, "loss": 0.3847, "lr": 6.815133497483157e-06, "epoch": 4.285714285714286, "percentage": 64.29, "elapsed_time": "0:29:45", "remaining_time": "0:16:31"}
|
||||||
|
{"current_steps": 46, "total_steps": 70, "loss": 0.381, "lr": 6.34658975633605e-06, "epoch": 4.380952380952381, "percentage": 65.71, "elapsed_time": "0:30:24", "remaining_time": "0:15:52"}
|
||||||
|
{"current_steps": 47, "total_steps": 70, "loss": 0.3844, "lr": 5.887128968693887e-06, "epoch": 4.476190476190476, "percentage": 67.14, "elapsed_time": "0:31:02", "remaining_time": "0:15:11"}
|
||||||
|
{"current_steps": 48, "total_steps": 70, "loss": 0.3874, "lr": 5.43789342646837e-06, "epoch": 4.571428571428571, "percentage": 68.57, "elapsed_time": "0:31:36", "remaining_time": "0:14:29"}
|
||||||
|
{"current_steps": 49, "total_steps": 70, "loss": 0.3778, "lr": 5.000000000000003e-06, "epoch": 4.666666666666667, "percentage": 70.0, "elapsed_time": "0:32:13", "remaining_time": "0:13:48"}
|
||||||
|
{"current_steps": 50, "total_steps": 70, "loss": 0.3994, "lr": 4.5745373613424075e-06, "epoch": 4.761904761904762, "percentage": 71.43, "elapsed_time": "0:32:49", "remaining_time": "0:13:07"}
|
||||||
|
{"current_steps": 51, "total_steps": 70, "loss": 0.3827, "lr": 4.162563277652104e-06, "epoch": 4.857142857142857, "percentage": 72.86, "elapsed_time": "0:33:25", "remaining_time": "0:12:26"}
|
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|
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Reference in New Issue
Block a user