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Model: AgPerry/Qwen3-8B-fim-v2v3pt-swe-lego-posttrain Source: Original Platform
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README.md
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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/Qwen3-8B
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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: SWE-Lego-Qwen3-8B-posttrain
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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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# SWE-Lego-Qwen3-8B-posttrain
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This model is a fine-tuned version of [/mmu-vcg-hdd/multimodal/models/Qwen3-8B-fim-v2v3pt](https://huggingface.co//mmu-vcg-hdd/multimodal/models/Qwen3-8B-fim-v2v3pt) on the swe_lego_real_data_resolved_trajectories and the swe_lego_synthetic_data_resolved_trajectories datasets.
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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: 0.0001
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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: 6
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 48
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- total_eval_batch_size: 48
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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_steps: 0.1
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- num_epochs: 4.0
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### Training results
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### Framework versions
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- Transformers 5.0.0
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- Pytorch 2.6.0+cu124
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- Datasets 4.0.0
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- Tokenizers 0.22.2
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all_results.json
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all_results.json
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{
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"epoch": 4.0,
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"total_flos": 7.881538624284525e+18,
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"train_loss": 0.1321902611324469,
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"train_runtime": 266690.9372,
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"train_samples_per_second": 0.212,
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"train_steps_per_second": 0.004
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}
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chat_template.jinja
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chat_template.jinja
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{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% endif %}{% if system_message is defined %}{{ '<|im_start|>system
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' + system_message + '<|im_end|>
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' }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|im_start|>user
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' + content + '<|im_end|>
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<|im_start|>assistant
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' }}{% elif message['role'] == 'assistant' %}{{ content + '<|im_end|>
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' }}{% endif %}{% endfor %}
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config.json
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config.json
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{
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"architectures": [
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"Qwen3ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"dtype": "bfloat16",
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"head_dim": 128,
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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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"layer_types": [
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"full_attention",
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"max_position_embeddings": 163840.0,
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"max_window_layers": 36,
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"model_type": "qwen3",
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"num_attention_heads": 32,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"factor": 4.0,
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"rope_type": "yarn"
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"tie_word_embeddings": false,
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"transformers_version": "5.0.0",
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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generation_config.json
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generation_config.json
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"temperature": 0.6,
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"top_k": 20,
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"top_p": 0.95,
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"transformers_version": "5.0.0"
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}
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model.safetensors
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tokenizer.json
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tokenizer_config.json
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tokenizer_config.json
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"is_local": true,
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"model_max_length": 131072,
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"model_specific_special_tokens": {},
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"pad_token": "<|endoftext|>",
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"padding_side": "right",
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null
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}
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train_results.json
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train_results.json
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{
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"epoch": 4.0,
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trainer_state.json
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training_args.bin
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training_loss.png
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