Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +69 -3
- added_tokens.json +24 -0
- all_results.json +12 -0
- chat_template.jinja +54 -0
- config.json +143 -0
- eval_results.json +7 -0
- generation_config.json +13 -0
- merges.txt +0 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +832 -0
- preprocessor_config.json +37 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +209 -0
- train_results.json +8 -0
- trainer_log.jsonl +50 -0
- trainer_state.json +390 -0
- training_args.bin +3 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
- video_preprocessor_config.json +44 -0
- vocab.json +0 -0
.gitattributes
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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
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-
---
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---
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library_name: transformers
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license: other
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base_model: InfiX-ai/InfiGUI-G1-3B
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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: sft
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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
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This model is a fine-tuned version of [InfiX-ai/InfiGUI-G1-3B](https://huggingface.co/InfiX-ai/InfiGUI-G1-3B) on the and_ctrl_skt dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1624
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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: 4
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 48
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- total_train_batch_size: 768
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- total_eval_batch_size: 4
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- optimizer: Use adamw_torch_fused 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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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.2532 | 1.1120 | 100 | 0.2310 |
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| 0.1713 | 2.2239 | 200 | 0.1800 |
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| 0.1178 | 3.3359 | 300 | 0.1559 |
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| 0.0765 | 4.4479 | 400 | 0.1624 |
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### Framework versions
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- Transformers 4.56.1
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- Pytorch 2.5.0a0+b465a5843b.nv24.09
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- Datasets 3.0.1
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- Tokenizers 0.22.1
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added_tokens.json
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{
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"</tool_call>": 151658,
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"<tool_call>": 151657,
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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"<|file_sep|>": 151664,
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"<|fim_middle|>": 151660,
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"<|fim_pad|>": 151662,
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"<|fim_prefix|>": 151659,
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"<|fim_suffix|>": 151661,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644,
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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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"<|quad_end|>": 151651,
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"<|quad_start|>": 151650,
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"<|repo_name|>": 151663,
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"<|video_pad|>": 151656,
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"<|vision_end|>": 151653,
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"<|vision_pad|>": 151654,
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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": 5.0,
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"eval_loss": 0.1624332219362259,
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"eval_runtime": 336.6612,
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"eval_samples_per_second": 10.726,
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"eval_steps_per_second": 2.682,
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"total_flos": 1141497040732160.0,
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"train_loss": 0.24183495627509224,
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"train_runtime": 30070.9864,
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"train_samples_per_second": 11.405,
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"train_steps_per_second": 0.015
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}
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0]['role'] == 'system' %}
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{{- messages[0]['content'] }}
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{%- else %}
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{{- 'You are a helpful assistant.' }}
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{%- endif %}
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{{- "\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>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\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" }}
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{%- else %}
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{%- if messages[0]['role'] == 'system' %}
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{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
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{%- else %}
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{{- '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{{- '<|im_start|>' + message.role }}
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{%- if message.content %}
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{{- '\n' + message.content }}
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{%- endif %}
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{%- for tool_call in message.tool_calls %}
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{%- if tool_call.function is defined %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '\n<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{{- tool_call.arguments | tojson }}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- message.content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- endif %}
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config.json
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{
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"architectures": [
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"Qwen2_5_VLForConditionalGeneration"
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],
|
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"attention_dropout": 0.0,
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"dtype": "bfloat16",
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"eos_token_id": 151645,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"image_token_id": 151655,
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"initializer_range": 0.02,
|
12 |
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"intermediate_size": 11008,
|
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"max_position_embeddings": 128000,
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"max_window_layers": 70,
|
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"model_type": "qwen2_5_vl",
|
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+
"num_attention_heads": 16,
|
17 |
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"num_hidden_layers": 36,
|
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+
"num_key_value_heads": 2,
|
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"pad_token_id": 151643,
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"rms_norm_eps": 1e-06,
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"rope_scaling": {
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"mrope_section": [
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16,
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24,
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24
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],
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"rope_type": "default",
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"type": "default"
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},
|
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"rope_theta": 1000000.0,
|
31 |
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"sliding_window": 32768,
|
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"text_config": {
|
33 |
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"architectures": [
|
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"Qwen2_5_VLForConditionalGeneration"
|
35 |
+
],
|
36 |
+
"attention_dropout": 0.0,
|
37 |
+
"dtype": "float32",
|
38 |
+
"eos_token_id": 151645,
|
39 |
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"hidden_act": "silu",
|
40 |
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"hidden_size": 2048,
|
41 |
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"image_token_id": null,
|
42 |
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"initializer_range": 0.02,
|
43 |
+
"intermediate_size": 11008,
|
44 |
+
"layer_types": [
|
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"full_attention",
|
46 |
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"full_attention",
|
47 |
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"full_attention",
|
48 |
+
"full_attention",
|
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+
"full_attention",
|
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+
"full_attention",
|
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"full_attention",
|
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"full_attention",
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
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"full_attention",
|
79 |
+
"full_attention",
|
80 |
+
"full_attention"
|
81 |
+
],
|
82 |
+
"max_position_embeddings": 128000,
|
83 |
+
"max_window_layers": 70,
|
84 |
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"model_type": "qwen2_5_vl_text",
|
85 |
+
"num_attention_heads": 16,
|
86 |
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"num_hidden_layers": 36,
|
87 |
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"num_key_value_heads": 2,
|
88 |
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"pad_token_id": 151643,
|
89 |
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"rms_norm_eps": 1e-06,
|
90 |
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"rope_scaling": {
|
91 |
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"mrope_section": [
|
92 |
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16,
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24,
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24
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],
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"rope_type": "default",
|
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"type": "default"
|
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+
},
|
99 |
+
"rope_theta": 1000000.0,
|
100 |
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"sliding_window": null,
|
101 |
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"tie_word_embeddings": true,
|
102 |
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"use_cache": false,
|
103 |
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"use_sliding_window": false,
|
104 |
+
"video_token_id": null,
|
105 |
+
"vision_end_token_id": 151653,
|
106 |
+
"vision_start_token_id": 151652,
|
107 |
+
"vision_token_id": 151654,
|
108 |
+
"vocab_size": 151936
|
109 |
+
},
|
110 |
+
"transformers_version": "4.56.1",
|
111 |
+
"use_cache": false,
|
112 |
+
"use_sliding_window": false,
|
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eval_results.json
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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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preprocessor_config.json
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size 11421896
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tokenizer_config.json
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train_results.json
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trainer_log.jsonl
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trainer_state.json
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1 |
+
{
|
2 |
+
"crop_size": null,
|
3 |
+
"data_format": "channels_first",
|
4 |
+
"default_to_square": true,
|
5 |
+
"device": null,
|
6 |
+
"do_center_crop": null,
|
7 |
+
"do_convert_rgb": true,
|
8 |
+
"do_normalize": true,
|
9 |
+
"do_pad": null,
|
10 |
+
"do_rescale": true,
|
11 |
+
"do_resize": true,
|
12 |
+
"do_sample_frames": false,
|
13 |
+
"fps": null,
|
14 |
+
"image_mean": [
|
15 |
+
0.48145466,
|
16 |
+
0.4578275,
|
17 |
+
0.40821073
|
18 |
+
],
|
19 |
+
"image_std": [
|
20 |
+
0.26862954,
|
21 |
+
0.26130258,
|
22 |
+
0.27577711
|
23 |
+
],
|
24 |
+
"input_data_format": null,
|
25 |
+
"max_frames": 768,
|
26 |
+
"max_pixels": 12845056,
|
27 |
+
"merge_size": 2,
|
28 |
+
"min_frames": 4,
|
29 |
+
"min_pixels": 3136,
|
30 |
+
"num_frames": null,
|
31 |
+
"patch_size": 14,
|
32 |
+
"processor_class": "Qwen2_5_VLProcessor",
|
33 |
+
"resample": 3,
|
34 |
+
"rescale_factor": 0.00392156862745098,
|
35 |
+
"return_metadata": false,
|
36 |
+
"size": {
|
37 |
+
"longest_edge": 12845056,
|
38 |
+
"shortest_edge": 3136
|
39 |
+
},
|
40 |
+
"size_divisor": null,
|
41 |
+
"temporal_patch_size": 2,
|
42 |
+
"video_metadata": null,
|
43 |
+
"video_processor_type": "Qwen2VLVideoProcessor"
|
44 |
+
}
|
vocab.json
ADDED
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|