Upload model
Browse files- .gitattributes +1 -0
- README.md +61 -0
- added_tokens.json +24 -0
- all_results.json +8 -0
- config.json +29 -0
- generation_config.json +14 -0
- merges.txt +0 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +346 -0
- runs/May10_23-17-04_jrc0927/events.out.tfevents.1746911952.jrc0927.818033.0 +3 -0
- runs/May12_18-08-34_jrc0911/events.out.tfevents.1747066243.jrc0911.2931372.0 +3 -0
- runs/May13_16-52-23_jrc0911/events.out.tfevents.1747148074.jrc0911.3140381.0 +3 -0
- special_tokens_map.json +31 -0
- start_end.json +1 -0
- tokenizer.json +3 -0
- tokenizer_config.json +208 -0
- train_results.json +8 -0
- trainer_log.jsonl +352 -0
- trainer_state.json +2492 -0
- training_args.bin +3 -0
- training_loss.png +0 -0
- vocab.json +0 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
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@@ -0,0 +1,61 @@
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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: openthoughts_math
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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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# openthoughts_math
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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/openthoughts_math 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: 8e-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: 32
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- total_train_batch_size: 512
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- total_eval_batch_size: 128
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- optimizer: Use 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: 5.0
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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 2.5.0a0+b465a5843b.nv24.09
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| 60 |
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- Datasets 3.5.0
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| 61 |
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- Tokenizers 0.20.3
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added_tokens.json
ADDED
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{
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"</tool_call>": 151658,
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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| 7 |
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"<|file_sep|>": 151664,
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"<|fim_middle|>": 151660,
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"<|image_pad|>": 151655,
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"<|object_ref_end|>": 151647,
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"<|object_ref_start|>": 151646,
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| 17 |
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"<|quad_end|>": 151651,
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| 18 |
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"<|quad_start|>": 151650,
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| 19 |
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"<|repo_name|>": 151663,
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| 20 |
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"<|video_pad|>": 151656,
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| 21 |
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"<|vision_end|>": 151653,
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| 22 |
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"<|vision_pad|>": 151654,
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| 23 |
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"<|vision_start|>": 151652
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}
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all_results.json
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{
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"epoch": 4.942630185348632,
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| 3 |
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"total_flos": 9.306564393200255e+18,
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| 4 |
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"train_loss": 0.0,
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| 5 |
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"train_runtime": 1.9909,
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| 6 |
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"train_samples_per_second": 91040.986,
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| 7 |
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"train_steps_per_second": 175.798
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}
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config.json
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{
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"_name_or_path": "/p/data1/mmlaion/dcft/hub/models--Qwen--Qwen2.5-7B-Instruct/snapshots/a09a35458c702b33eeacc393d103063234e8bc28",
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| 3 |
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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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"bos_token_id": 151643,
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| 8 |
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"eos_token_id": 151645,
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| 9 |
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"hidden_act": "silu",
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| 10 |
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"hidden_size": 3584,
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| 11 |
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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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| 14 |
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"max_window_layers": 28,
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"model_type": "qwen2",
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| 16 |
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"num_attention_heads": 28,
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| 17 |
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"num_hidden_layers": 28,
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| 18 |
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"num_key_value_heads": 4,
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| 19 |
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"rms_norm_eps": 1e-06,
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| 20 |
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"rope_scaling": null,
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| 21 |
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"rope_theta": 1000000.0,
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| 22 |
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"sliding_window": null,
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"tie_word_embeddings": false,
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| 24 |
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"torch_dtype": "bfloat16",
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| 25 |
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"transformers_version": "4.46.1",
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"use_cache": false,
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| 27 |
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"use_sliding_window": false,
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"vocab_size": 152064
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}
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generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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| 5 |
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151645,
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| 6 |
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151643
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],
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| 8 |
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"pad_token_id": 151643,
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| 9 |
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"repetition_penalty": 1.05,
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| 10 |
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"temperature": 0.7,
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| 11 |
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"top_k": 20,
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| 12 |
+
"top_p": 0.8,
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| 13 |
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"transformers_version": "4.46.1"
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| 14 |
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}
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merges.txt
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The diff for this file is too large to render.
See raw diff
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model-00001-of-00004.safetensors
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size 4877660776
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model-00002-of-00004.safetensors
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model-00003-of-00004.safetensors
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model-00004-of-00004.safetensors
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model.safetensors.index.json
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| 198 |
+
"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",
|
| 199 |
+
"clean_up_tokenization_spaces": false,
|
| 200 |
+
"eos_token": "<|endoftext|>",
|
| 201 |
+
"errors": "replace",
|
| 202 |
+
"model_max_length": 131072,
|
| 203 |
+
"pad_token": "<|endoftext|>",
|
| 204 |
+
"padding_side": "right",
|
| 205 |
+
"split_special_tokens": false,
|
| 206 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 207 |
+
"unk_token": null
|
| 208 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"epoch": 4.942630185348632,
|
| 3 |
+
"total_flos": 9.306564393200255e+18,
|
| 4 |
+
"train_loss": 0.0,
|
| 5 |
+
"train_runtime": 1.9909,
|
| 6 |
+
"train_samples_per_second": 91040.986,
|
| 7 |
+
"train_steps_per_second": 175.798
|
| 8 |
+
}
|
trainer_log.jsonl
ADDED
|
@@ -0,0 +1,352 @@
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|
| 1 |
+
{"current_steps": 1, "total_steps": 350, "loss": 0.8154, "lr": 2.285714285714286e-06, "epoch": 0.01412180052956752, "percentage": 0.29, "elapsed_time": "0:04:10", "remaining_time": "1 day, 0:16:47"}
|
| 2 |
+
{"current_steps": 2, "total_steps": 350, "loss": 0.8243, "lr": 4.571428571428572e-06, "epoch": 0.02824360105913504, "percentage": 0.57, "elapsed_time": "0:08:04", "remaining_time": "23:24:02"}
|
| 3 |
+
{"current_steps": 3, "total_steps": 350, "loss": 0.8057, "lr": 6.857142857142858e-06, "epoch": 0.04236540158870256, "percentage": 0.86, "elapsed_time": "0:11:58", "remaining_time": "23:04:36"}
|
| 4 |
+
{"current_steps": 4, "total_steps": 350, "loss": 0.7602, "lr": 9.142857142857144e-06, "epoch": 0.05648720211827008, "percentage": 1.14, "elapsed_time": "0:15:50", "remaining_time": "22:50:13"}
|
| 5 |
+
{"current_steps": 5, "total_steps": 350, "loss": 0.7197, "lr": 1.1428571428571429e-05, "epoch": 0.0706090026478376, "percentage": 1.43, "elapsed_time": "0:19:42", "remaining_time": "22:40:19"}
|
| 6 |
+
{"current_steps": 6, "total_steps": 350, "loss": 0.7374, "lr": 1.3714285714285716e-05, "epoch": 0.08473080317740513, "percentage": 1.71, "elapsed_time": "0:23:36", "remaining_time": "22:33:10"}
|
| 7 |
+
{"current_steps": 7, "total_steps": 350, "loss": 0.7325, "lr": 1.6000000000000003e-05, "epoch": 0.09885260370697264, "percentage": 2.0, "elapsed_time": "0:27:28", "remaining_time": "22:26:24"}
|
| 8 |
+
{"current_steps": 8, "total_steps": 350, "loss": 0.7502, "lr": 1.8285714285714288e-05, "epoch": 0.11297440423654016, "percentage": 2.29, "elapsed_time": "0:31:22", "remaining_time": "22:21:09"}
|
| 9 |
+
{"current_steps": 9, "total_steps": 350, "loss": 0.7051, "lr": 2.057142857142857e-05, "epoch": 0.12709620476610767, "percentage": 2.57, "elapsed_time": "0:35:15", "remaining_time": "22:15:48"}
|
| 10 |
+
{"current_steps": 10, "total_steps": 350, "loss": 0.6593, "lr": 2.2857142857142858e-05, "epoch": 0.1412180052956752, "percentage": 2.86, "elapsed_time": "0:39:07", "remaining_time": "22:10:29"}
|
| 11 |
+
{"current_steps": 11, "total_steps": 350, "loss": 0.6276, "lr": 2.5142857142857143e-05, "epoch": 0.1553398058252427, "percentage": 3.14, "elapsed_time": "0:43:01", "remaining_time": "22:05:50"}
|
| 12 |
+
{"current_steps": 12, "total_steps": 350, "loss": 0.6013, "lr": 2.742857142857143e-05, "epoch": 0.16946160635481025, "percentage": 3.43, "elapsed_time": "0:46:54", "remaining_time": "22:01:02"}
|
| 13 |
+
{"current_steps": 13, "total_steps": 350, "loss": 0.5859, "lr": 2.9714285714285717e-05, "epoch": 0.18358340688437777, "percentage": 3.71, "elapsed_time": "0:50:47", "remaining_time": "21:56:29"}
|
| 14 |
+
{"current_steps": 14, "total_steps": 350, "loss": 0.5824, "lr": 3.2000000000000005e-05, "epoch": 0.1977052074139453, "percentage": 4.0, "elapsed_time": "0:54:40", "remaining_time": "21:52:05"}
|
| 15 |
+
{"current_steps": 15, "total_steps": 350, "loss": 0.5708, "lr": 3.4285714285714284e-05, "epoch": 0.2118270079435128, "percentage": 4.29, "elapsed_time": "0:58:32", "remaining_time": "21:47:34"}
|
| 16 |
+
{"current_steps": 16, "total_steps": 350, "loss": 0.5563, "lr": 3.6571428571428576e-05, "epoch": 0.22594880847308033, "percentage": 4.57, "elapsed_time": "1:02:26", "remaining_time": "21:43:27"}
|
| 17 |
+
{"current_steps": 17, "total_steps": 350, "loss": 0.5566, "lr": 3.885714285714286e-05, "epoch": 0.24007060900264784, "percentage": 4.86, "elapsed_time": "1:06:18", "remaining_time": "21:38:56"}
|
| 18 |
+
{"current_steps": 18, "total_steps": 350, "loss": 0.5507, "lr": 4.114285714285714e-05, "epoch": 0.25419240953221534, "percentage": 5.14, "elapsed_time": "1:10:11", "remaining_time": "21:34:43"}
|
| 19 |
+
{"current_steps": 19, "total_steps": 350, "loss": 0.5418, "lr": 4.342857142857143e-05, "epoch": 0.26831421006178285, "percentage": 5.43, "elapsed_time": "1:14:04", "remaining_time": "21:30:28"}
|
| 20 |
+
{"current_steps": 20, "total_steps": 350, "loss": 0.5333, "lr": 4.5714285714285716e-05, "epoch": 0.2824360105913504, "percentage": 5.71, "elapsed_time": "1:17:58", "remaining_time": "21:26:30"}
|
| 21 |
+
{"current_steps": 21, "total_steps": 350, "loss": 0.5305, "lr": 4.8e-05, "epoch": 0.2965578111209179, "percentage": 6.0, "elapsed_time": "1:21:50", "remaining_time": "21:22:12"}
|
| 22 |
+
{"current_steps": 22, "total_steps": 350, "loss": 0.5189, "lr": 5.0285714285714286e-05, "epoch": 0.3106796116504854, "percentage": 6.29, "elapsed_time": "1:25:43", "remaining_time": "21:18:09"}
|
| 23 |
+
{"current_steps": 23, "total_steps": 350, "loss": 0.5198, "lr": 5.257142857142858e-05, "epoch": 0.324801412180053, "percentage": 6.57, "elapsed_time": "1:29:36", "remaining_time": "21:14:03"}
|
| 24 |
+
{"current_steps": 24, "total_steps": 350, "loss": 0.5102, "lr": 5.485714285714286e-05, "epoch": 0.3389232127096205, "percentage": 6.86, "elapsed_time": "1:33:29", "remaining_time": "21:10:01"}
|
| 25 |
+
{"current_steps": 25, "total_steps": 350, "loss": 0.5098, "lr": 5.714285714285715e-05, "epoch": 0.353045013239188, "percentage": 7.14, "elapsed_time": "1:37:22", "remaining_time": "21:05:55"}
|
| 26 |
+
{"current_steps": 26, "total_steps": 350, "loss": 0.5015, "lr": 5.9428571428571434e-05, "epoch": 0.36716681376875554, "percentage": 7.43, "elapsed_time": "1:41:15", "remaining_time": "21:01:53"}
|
| 27 |
+
{"current_steps": 27, "total_steps": 350, "loss": 0.507, "lr": 6.171428571428573e-05, "epoch": 0.38128861429832306, "percentage": 7.71, "elapsed_time": "1:45:09", "remaining_time": "20:57:56"}
|
| 28 |
+
{"current_steps": 28, "total_steps": 350, "loss": 0.5034, "lr": 6.400000000000001e-05, "epoch": 0.3954104148278906, "percentage": 8.0, "elapsed_time": "1:49:01", "remaining_time": "20:53:51"}
|
| 29 |
+
{"current_steps": 29, "total_steps": 350, "loss": 0.4983, "lr": 6.62857142857143e-05, "epoch": 0.4095322153574581, "percentage": 8.29, "elapsed_time": "1:52:54", "remaining_time": "20:49:47"}
|
| 30 |
+
{"current_steps": 30, "total_steps": 350, "loss": 0.508, "lr": 6.857142857142857e-05, "epoch": 0.4236540158870256, "percentage": 8.57, "elapsed_time": "1:56:47", "remaining_time": "20:45:50"}
|
| 31 |
+
{"current_steps": 31, "total_steps": 350, "loss": 0.5016, "lr": 7.085714285714287e-05, "epoch": 0.43777581641659313, "percentage": 8.86, "elapsed_time": "2:00:40", "remaining_time": "20:41:46"}
|
| 32 |
+
{"current_steps": 32, "total_steps": 350, "loss": 0.4939, "lr": 7.314285714285715e-05, "epoch": 0.45189761694616065, "percentage": 9.14, "elapsed_time": "2:04:32", "remaining_time": "20:37:39"}
|
| 33 |
+
{"current_steps": 33, "total_steps": 350, "loss": 0.4924, "lr": 7.542857142857144e-05, "epoch": 0.46601941747572817, "percentage": 9.43, "elapsed_time": "2:08:26", "remaining_time": "20:33:46"}
|
| 34 |
+
{"current_steps": 34, "total_steps": 350, "loss": 0.4902, "lr": 7.771428571428572e-05, "epoch": 0.4801412180052957, "percentage": 9.71, "elapsed_time": "2:12:19", "remaining_time": "20:29:49"}
|
| 35 |
+
{"current_steps": 35, "total_steps": 350, "loss": 0.4852, "lr": 8e-05, "epoch": 0.4942630185348632, "percentage": 10.0, "elapsed_time": "2:16:12", "remaining_time": "20:25:49"}
|
| 36 |
+
{"current_steps": 36, "total_steps": 350, "loss": 0.4853, "lr": 7.999801067823773e-05, "epoch": 0.5083848190644307, "percentage": 10.29, "elapsed_time": "2:20:04", "remaining_time": "20:21:44"}
|
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|
trainer_state.json
ADDED
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