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Duplicate from aliangdw/rfm_qwen4b_pref_prog_succ_8frames_all_discrete_10bins_part2
Browse files- .gitattributes +35 -0
- README.md +27 -0
- config.json +68 -0
- config.yaml +198 -0
- dataset_random_state.json +1266 -0
- metrics.json +369 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +746 -0
- trainer_state.json +0 -0
- training_args.bin +3 -0
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.model filter=lfs diff=lfs merge=lfs -text
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*.onnx filter=lfs diff=lfs merge=lfs -text
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pickle filter=lfs diff=lfs merge=lfs -text
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*.pkl filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.rar filter=lfs diff=lfs merge=lfs -text
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.tar.* filter=lfs diff=lfs merge=lfs -text
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*.tar filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: apache-2.0
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base_model: Qwen/Qwen3-VL-4B-Instruct
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tags:
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- reward_model
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- rfm
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| 7 |
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- preference_comparisons
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| 8 |
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library_name: transformers
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| 9 |
+
---
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| 10 |
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| 11 |
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# aliangdw/rfm_qwen4b_pref_prog_succ_8frames_all_discrete_10bins_part2
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| 12 |
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## Model Details
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| 14 |
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- **Base Model**: Qwen/Qwen3-VL-4B-Instruct
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- **Model Type**: qwen3_vl
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| 17 |
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| 18 |
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## Training Run
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| 19 |
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- **Wandb Run**: [ant_rfm_qwen4b_4gpu_bs16_pref_prog_succ_8_frames_all_discrete_10_bins_part2](https://wandb.ai/clvr/rfm/runs/wydywqsb)
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- **Wandb ID**: `wydywqsb`
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| 22 |
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- **Project**: rfm
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| 23 |
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- **Notes**: all run with prog_token per frame, qwen 4b, discrete progress, 10 bins
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| 24 |
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## Citation
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If you use this model, please cite:
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config.json
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{
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| 2 |
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"architectures": [
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| 3 |
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"RFM"
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| 4 |
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],
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| 5 |
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"dtype": "bfloat16",
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| 6 |
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"image_token_id": 151655,
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| 7 |
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"model_type": "qwen3_vl",
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| 8 |
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"pad_token_id": 151654,
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| 9 |
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"text_config": {
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| 10 |
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"attention_bias": false,
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| 11 |
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"attention_dropout": 0.0,
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| 12 |
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"bos_token_id": 151643,
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| 13 |
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"dtype": "bfloat16",
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| 14 |
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"eos_token_id": 151645,
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| 15 |
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"head_dim": 128,
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| 16 |
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"hidden_act": "silu",
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| 17 |
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"hidden_size": 2560,
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| 18 |
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"initializer_range": 0.02,
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| 19 |
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"intermediate_size": 9728,
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| 20 |
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"max_position_embeddings": 262144,
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| 21 |
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"model_type": "qwen3_vl_text",
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| 22 |
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"num_attention_heads": 32,
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| 23 |
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"num_hidden_layers": 36,
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| 24 |
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"num_key_value_heads": 8,
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| 25 |
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"rms_norm_eps": 1e-06,
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| 26 |
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"rope_scaling": {
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| 27 |
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"mrope_interleaved": true,
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| 28 |
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"mrope_section": [
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| 29 |
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24,
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| 30 |
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20,
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| 31 |
+
20
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| 32 |
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],
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| 33 |
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"rope_type": "default"
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| 34 |
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},
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| 35 |
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"rope_theta": 5000000,
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| 36 |
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"tie_word_embeddings": true,
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| 37 |
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"use_cache": true,
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| 38 |
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"vocab_size": 151674
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| 39 |
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},
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| 40 |
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"tie_word_embeddings": true,
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| 41 |
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"transformers_version": "4.57.2",
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| 42 |
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"unsloth_fixed": true,
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| 43 |
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"unsloth_version": "2025.10.11",
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| 44 |
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"video_token_id": 151656,
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| 45 |
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"vision_config": {
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| 46 |
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"deepstack_visual_indexes": [
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| 47 |
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5,
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| 48 |
+
11,
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| 49 |
+
17
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| 50 |
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],
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| 51 |
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"depth": 24,
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| 52 |
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"dtype": "bfloat16",
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| 53 |
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"hidden_act": "gelu_pytorch_tanh",
|
| 54 |
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"hidden_size": 1024,
|
| 55 |
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"in_channels": 3,
|
| 56 |
+
"initializer_range": 0.02,
|
| 57 |
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"intermediate_size": 4096,
|
| 58 |
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"model_type": "qwen3_vl",
|
| 59 |
+
"num_heads": 16,
|
| 60 |
+
"num_position_embeddings": 2304,
|
| 61 |
+
"out_hidden_size": 2560,
|
| 62 |
+
"patch_size": 16,
|
| 63 |
+
"spatial_merge_size": 2,
|
| 64 |
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"temporal_patch_size": 2
|
| 65 |
+
},
|
| 66 |
+
"vision_end_token_id": 151653,
|
| 67 |
+
"vision_start_token_id": 151652
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| 68 |
+
}
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config.yaml
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custom_eval:
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| 2 |
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comparisons_per_task: 5
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| 3 |
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confusion_matrix:
|
| 4 |
+
- mw
|
| 5 |
+
custom_eval_random_seed: 42
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| 6 |
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eval_types:
|
| 7 |
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- reward_alignment
|
| 8 |
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- policy_ranking
|
| 9 |
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max_comparisons: null
|
| 10 |
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num_examples_per_quality_pr: 5
|
| 11 |
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num_partial_successes: 5
|
| 12 |
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pad_frames: true
|
| 13 |
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policy_ranking:
|
| 14 |
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- rfm-1m-ood
|
| 15 |
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policy_ranking_max_tasks: 100
|
| 16 |
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quality_preference:
|
| 17 |
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- mw
|
| 18 |
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reward_alignment:
|
| 19 |
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- rfm-1m-id
|
| 20 |
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- rfm-1m-ood
|
| 21 |
+
reward_alignment_max_trajectories: 10
|
| 22 |
+
similarity_score:
|
| 23 |
+
- aliangdw_metaworld_metaworld_eval
|
| 24 |
+
subsample_n_frames: null
|
| 25 |
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use_frame_steps: true
|
| 26 |
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data:
|
| 27 |
+
data_source_weights:
|
| 28 |
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metaworld_train: 1.0
|
| 29 |
+
molmoact_dataset_household: 1.0
|
| 30 |
+
molmoact_dataset_tabletop: 1.0
|
| 31 |
+
oxe_droid: 1.0
|
| 32 |
+
roboarena: 1.0
|
| 33 |
+
dataloader_num_workers: 8
|
| 34 |
+
dataloader_persistent_workers: true
|
| 35 |
+
dataloader_pin_memory: true
|
| 36 |
+
dataset_preference_ratio: 0.7
|
| 37 |
+
dataset_success_cutoff_file: rfm/data/dataset_success_cutoff.txt
|
| 38 |
+
dataset_type: strategy_first
|
| 39 |
+
eval_datasets:
|
| 40 |
+
- mw
|
| 41 |
+
eval_subset_size: null
|
| 42 |
+
load_embeddings: false
|
| 43 |
+
max_frames: 8
|
| 44 |
+
max_frames_after_preprocessing: 64
|
| 45 |
+
max_success: 1.0
|
| 46 |
+
max_trajectories: -1
|
| 47 |
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min_frames_per_trajectory: 5
|
| 48 |
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min_success: 0.5
|
| 49 |
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partial_success_threshold: 0.2
|
| 50 |
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predict_last_frame_partial_progress: false
|
| 51 |
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preference_strategy_ratio:
|
| 52 |
+
- 1.0
|
| 53 |
+
- 1.0
|
| 54 |
+
- 1.0
|
| 55 |
+
- 1.0
|
| 56 |
+
progress_discrete_bins: 10
|
| 57 |
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progress_loss_type: discrete
|
| 58 |
+
progress_pred_type: absolute_wrt_total_frames
|
| 59 |
+
progress_strategy_ratio:
|
| 60 |
+
- 1.0
|
| 61 |
+
- 1.0
|
| 62 |
+
- 1.0
|
| 63 |
+
- 1.0
|
| 64 |
+
resized_height: null
|
| 65 |
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resized_width: null
|
| 66 |
+
sample_type_ratio:
|
| 67 |
+
- 1.0
|
| 68 |
+
- 0.0
|
| 69 |
+
- 0.0
|
| 70 |
+
seed: 42
|
| 71 |
+
shuffle: true
|
| 72 |
+
shuffle_progress_frames: false
|
| 73 |
+
similarity_strategy_ratio:
|
| 74 |
+
- 1.0
|
| 75 |
+
- 1.0
|
| 76 |
+
- 1.0
|
| 77 |
+
train_datasets:
|
| 78 |
+
- rfm-1m-id
|
| 79 |
+
traj_same_source_prob: 0.5
|
| 80 |
+
use_data_source_balance: false
|
| 81 |
+
use_multi_image: true
|
| 82 |
+
use_per_frame_progress_token: true
|
| 83 |
+
debug: false
|
| 84 |
+
logging:
|
| 85 |
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log_level: debug
|
| 86 |
+
log_to:
|
| 87 |
+
- wandb
|
| 88 |
+
save_best:
|
| 89 |
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greater_is_better:
|
| 90 |
+
- true
|
| 91 |
+
- true
|
| 92 |
+
- true
|
| 93 |
+
- true
|
| 94 |
+
- true
|
| 95 |
+
hub_private: false
|
| 96 |
+
hub_save_every: 1000
|
| 97 |
+
hub_token: null
|
| 98 |
+
keep_top_k: 5
|
| 99 |
+
metric_names:
|
| 100 |
+
- eval_p_rank/kendall_last_utd_so101_clean_top
|
| 101 |
+
- eval_p_rank/kendall_last_usc_xarm
|
| 102 |
+
- eval_p_rank/kendall_last_usc_franka
|
| 103 |
+
- eval_p_rank/kendall_last_rfm_new_mit_franka_nowrist
|
| 104 |
+
- eval_p_rank/kendall_last_usc_trossen
|
| 105 |
+
save_every: 250
|
| 106 |
+
upload_to_hub: false
|
| 107 |
+
save_model: true
|
| 108 |
+
save_processor: true
|
| 109 |
+
wandb_entity: clvr
|
| 110 |
+
wandb_mode: null
|
| 111 |
+
wandb_notes: all run with prog_token per frame, qwen 4b, discrete progress, 10 bins
|
| 112 |
+
wandb_project: rfm
|
| 113 |
+
loss:
|
| 114 |
+
predict_last_frame_progress: false
|
| 115 |
+
progress_discrete_bins: 10
|
| 116 |
+
progress_loss_type: discrete
|
| 117 |
+
success_positive_weight: 1.0
|
| 118 |
+
mode: train
|
| 119 |
+
model:
|
| 120 |
+
average_temporal_patches: true
|
| 121 |
+
base_model_id: Qwen/Qwen3-VL-4B-Instruct
|
| 122 |
+
frame_pooling: mean
|
| 123 |
+
frame_pooling_attn_temperature: 1.0
|
| 124 |
+
model_type: default
|
| 125 |
+
peft_vision_encoder: false
|
| 126 |
+
progress_discrete_bins: 10
|
| 127 |
+
progress_loss_type: discrete
|
| 128 |
+
quantization: false
|
| 129 |
+
rewind: null
|
| 130 |
+
torch_dtype: bfloat16
|
| 131 |
+
train_language_model: true
|
| 132 |
+
train_preference_head: true
|
| 133 |
+
train_progress_head: true
|
| 134 |
+
train_similarity_head: false
|
| 135 |
+
train_success_head: true
|
| 136 |
+
train_vision_encoder: false
|
| 137 |
+
trust_remote_code: true
|
| 138 |
+
use_multi_image: true
|
| 139 |
+
use_peft: false
|
| 140 |
+
use_per_frame_progress_token: true
|
| 141 |
+
use_unsloth: true
|
| 142 |
+
peft:
|
| 143 |
+
bias: none
|
| 144 |
+
lora_alpha: 64
|
| 145 |
+
lora_dropout: 0.05
|
| 146 |
+
peft_vision_encoder: false
|
| 147 |
+
r: 32
|
| 148 |
+
target_modules:
|
| 149 |
+
- q_proj
|
| 150 |
+
- k_proj
|
| 151 |
+
- v_proj
|
| 152 |
+
- o_proj
|
| 153 |
+
- gate_proj
|
| 154 |
+
- up_proj
|
| 155 |
+
- down_proj
|
| 156 |
+
trainer_cls: rfm_heads
|
| 157 |
+
training:
|
| 158 |
+
beta: 0.1
|
| 159 |
+
bf16: true
|
| 160 |
+
custom_eval_steps: 250
|
| 161 |
+
dataloader_num_workers: 8
|
| 162 |
+
dataloader_persistent_workers: true
|
| 163 |
+
dataloader_pin_memory: true
|
| 164 |
+
ddp_bucket_cap_mb: 25
|
| 165 |
+
ddp_find_unused_parameters: false
|
| 166 |
+
do_eval: true
|
| 167 |
+
eval_steps: 250
|
| 168 |
+
evaluation_strategy: steps
|
| 169 |
+
exp_name: ant_rfm_qwen4b_4gpu_bs16_pref_prog_succ_8_frames_all_discrete_10_bins_part2
|
| 170 |
+
fp16: false
|
| 171 |
+
gradient_accumulation_steps: 1
|
| 172 |
+
gradient_checkpointing: true
|
| 173 |
+
learning_rate: 2.0e-05
|
| 174 |
+
logging_steps: 1
|
| 175 |
+
lr_scheduler_type: cosine
|
| 176 |
+
max_grad_norm: 10.0
|
| 177 |
+
max_seq_length: 1024
|
| 178 |
+
max_steps: 15000
|
| 179 |
+
num_gpus: 2
|
| 180 |
+
num_train_epochs: -1
|
| 181 |
+
output_dir: ./logs
|
| 182 |
+
overwrite_output_dir: true
|
| 183 |
+
per_device_eval_batch_size: 16
|
| 184 |
+
per_device_train_batch_size: 16
|
| 185 |
+
predict_pref_progress: true
|
| 186 |
+
predict_pref_sim: false
|
| 187 |
+
predict_sim_progress: false
|
| 188 |
+
prediction_loss_only: true
|
| 189 |
+
remove_unused_columns: false
|
| 190 |
+
resume_from_checkpoint: /gpfs/home/jessezha/scrubbed_storage/reward_fm/logs/ant_rfm_qwen4b_4gpu_bs16_pref_prog_succ_8_frames_all_discrete_10_bins/ckpt-avg-5metrics=0.6973_step=3000
|
| 191 |
+
run_default_eval: false
|
| 192 |
+
save_steps: 200
|
| 193 |
+
save_strategy: 'no'
|
| 194 |
+
vision_encoder_lr: 5.0e-06
|
| 195 |
+
vision_encoder_num_layers: 3
|
| 196 |
+
warmup_ratio: 0.1
|
| 197 |
+
warmup_steps: 0
|
| 198 |
+
weight_decay: 0.01
|
dataset_random_state.json
ADDED
|
@@ -0,0 +1,1266 @@
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| 1 |
+
{
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| 2 |
+
"dataset": [
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| 3 |
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3,
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| 1 |
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{
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| 363 |
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| 364 |
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| 368 |
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}
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| 369 |
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}
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training_args.bin
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