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README.md CHANGED
@@ -10,22 +10,24 @@ tags:
10
  - sft
11
  ---
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- # EgoTools 8B v3.3 - Checkpoint 300
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15
- Intermediate checkpoint from full-parameter SFT of `Qwen/Qwen3-VL-8B-Instruct` on EgoTools v3.3.
16
 
17
- This is `checkpoint-300` from the run:
18
 
19
- `egotools_qwen3vl8b_v3_3_full_base_direct_8gpu_64f_bs2_acc8_20260505_235414`
 
 
 
20
 
21
- The run was still in progress when this checkpoint was exported. Treat this as an intermediate model, not the final checkpoint.
22
 
23
  ## Training Setup
24
 
25
  | Field | Value |
26
  |---|---:|
27
  | Base model | `Qwen/Qwen3-VL-8B-Instruct` |
28
- | Local base snapshot | `models--Qwen--Qwen3-VL-8B-Instruct/snapshots/0c351dd01ed87e9c1b53cbc748cba10e6187ff3b` |
29
  | Framework | `ms-swift` / Transformers |
30
  | Tuning type | Full-parameter SFT |
31
  | Trainable params | 8.19B / 8.77B, VLM LLM trainable; ViT and aligner frozen |
@@ -38,7 +40,6 @@ The run was still in progress when this checkpoint was exported. Treat this as a
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  | Effective batch size | 128 samples |
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  | Epochs | 1 |
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  | Max steps | 907 |
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- | Saved step | 300 |
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  | Learning rate | `2.3e-6` |
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  | LR scheduler | `constant` |
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  | Warmup | 0 |
@@ -49,7 +50,7 @@ The run was still in progress when this checkpoint was exported. Treat this as a
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  | Image token budget | 1024 |
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  | Save interval | every 300 steps |
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52
- Important note: this run used a constant `2.3e-6` LR. Earlier V2 exploratory runs used `5e-6` with cosine decay and 3% warmup; this checkpoint does not use that schedule.
53
 
54
  ## Training Data
55
 
@@ -59,10 +60,6 @@ Main local training file:
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  `data_v3_3/egotools_v3_3_sft_final_clips.swift.jsonl`
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62
- Video references point to local clips under:
63
-
64
- `data_v3_3/video_clips`
65
-
66
  ### Overall Mix
67
 
68
  | Family | Rows | Ratio |
@@ -107,20 +104,9 @@ The MCQ portion was deterministically balanced by option count.
107
 
108
  ## Checkpoint Metrics
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110
- At `checkpoint-300`:
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-
112
- | Metric | Value |
113
- |---|---:|
114
- | Global step | 300 / 907 |
115
- | Epoch | 0.3309 |
116
- | Recent logged loss at step 300 | 0.8521 |
117
- | Token accuracy at step 300 | 0.7638 |
118
- | Learning rate | 2.3e-6 |
119
- | Reported memory | 38.56 GiB |
120
- | Average training speed | 127.60 s/iter |
121
-
122
- No evaluation set was run for this checkpoint.
123
-
124
- ## Intended Use
125
 
126
- This checkpoint is intended for internal EgoTools experiments and checkpoint-level comparison. It is not a final released model.
 
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  - sft
11
  ---
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13
+ # EgoTools 8B v3.3
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15
+ This repository stores intermediate checkpoints from full-parameter SFT of `Qwen/Qwen3-VL-8B-Instruct` on EgoTools v3.3.
16
 
17
+ Available checkpoints:
18
 
19
+ | Checkpoint | Location | Step | Epoch | Notes |
20
+ |---|---|---:|---:|---|
21
+ | checkpoint-300 | repository root | 300 / 907 | 0.3309 | First uploaded intermediate checkpoint. |
22
+ | checkpoint-600 | `checkpoint-600/` | 600 / 907 | 0.6619 | Second uploaded intermediate checkpoint. |
23
 
24
+ The repository root currently contains the `checkpoint-300` model files. `checkpoint-600` is stored in the `checkpoint-600/` subdirectory.
25
 
26
  ## Training Setup
27
 
28
  | Field | Value |
29
  |---|---:|
30
  | Base model | `Qwen/Qwen3-VL-8B-Instruct` |
 
31
  | Framework | `ms-swift` / Transformers |
32
  | Tuning type | Full-parameter SFT |
33
  | Trainable params | 8.19B / 8.77B, VLM LLM trainable; ViT and aligner frozen |
 
40
  | Effective batch size | 128 samples |
41
  | Epochs | 1 |
42
  | Max steps | 907 |
 
43
  | Learning rate | `2.3e-6` |
44
  | LR scheduler | `constant` |
45
  | Warmup | 0 |
 
50
  | Image token budget | 1024 |
51
  | Save interval | every 300 steps |
52
 
53
+ Important note: this run used a constant `2.3e-6` LR. Earlier V2 exploratory runs used `5e-6` with cosine decay and 3% warmup; these v3.3 checkpoints do not use that schedule.
54
 
55
  ## Training Data
56
 
 
60
 
61
  `data_v3_3/egotools_v3_3_sft_final_clips.swift.jsonl`
62
 
 
 
 
 
63
  ### Overall Mix
64
 
65
  | Family | Rows | Ratio |
 
104
 
105
  ## Checkpoint Metrics
106
 
107
+ | Checkpoint | Loss | Token accuracy | LR |
108
+ |---|---:|---:|---:|
109
+ | checkpoint-300 | 0.8521 | 0.7638 | 2.3e-6 |
110
+ | checkpoint-600 | 0.8500 | 0.7705 | 2.3e-6 |
 
 
 
 
 
 
 
 
 
 
 
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112
+ No evaluation set was run for these intermediate checkpoints.
checkpoint-600/README.md ADDED
@@ -0,0 +1,126 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ base_model: Qwen/Qwen3-VL-8B-Instruct
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+ library_name: transformers
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+ pipeline_tag: image-text-to-text
5
+ tags:
6
+ - qwen3-vl
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+ - video-language-model
8
+ - egocentric-video
9
+ - ms-swift
10
+ - sft
11
+ ---
12
+
13
+ # EgoTools 8B v3.3 - Checkpoint 600
14
+
15
+ Intermediate checkpoint from full-parameter SFT of `Qwen/Qwen3-VL-8B-Instruct` on EgoTools v3.3.
16
+
17
+ This is `checkpoint-600` from the run:
18
+
19
+ `egotools_qwen3vl8b_v3_3_full_base_direct_8gpu_64f_bs2_acc8_20260505_235414`
20
+
21
+ The run was still in progress when this checkpoint was exported. Treat this as an intermediate model, not the final checkpoint.
22
+
23
+ ## Training Setup
24
+
25
+ | Field | Value |
26
+ |---|---:|
27
+ | Base model | `Qwen/Qwen3-VL-8B-Instruct` |
28
+ | Local base snapshot | `models--Qwen--Qwen3-VL-8B-Instruct/snapshots/0c351dd01ed87e9c1b53cbc748cba10e6187ff3b` |
29
+ | Framework | `ms-swift` / Transformers |
30
+ | Tuning type | Full-parameter SFT |
31
+ | Trainable params | 8.19B / 8.77B, VLM LLM trainable; ViT and aligner frozen |
32
+ | GPUs | 8 x NVIDIA A100-SXM4-40GB |
33
+ | Precision | BF16 |
34
+ | DeepSpeed | ZeRO-3, no optimizer/parameter offload |
35
+ | Attention | FlashAttention |
36
+ | Per-device batch size | 2 |
37
+ | Gradient accumulation | 8 |
38
+ | Effective batch size | 128 samples |
39
+ | Epochs | 1 |
40
+ | Max steps | 907 |
41
+ | Saved step | 600 |
42
+ | Learning rate | `2.3e-6` |
43
+ | LR scheduler | `constant` |
44
+ | Warmup | 0 |
45
+ | Weight decay | 0.1 |
46
+ | Max sequence length | 8192 |
47
+ | Video frame sampling | up to 64 frames |
48
+ | Video token budget | 128 |
49
+ | Image token budget | 1024 |
50
+ | Save interval | every 300 steps |
51
+
52
+ Important note: this run used a constant `2.3e-6` LR. Earlier V2 exploratory runs used `5e-6` with cosine decay and 3% warmup; this checkpoint does not use that schedule.
53
+
54
+ ## Training Data
55
+
56
+ Dataset: EgoTools v3.3 SFT, converted to ms-swift video-clip format.
57
+
58
+ Main local training file:
59
+
60
+ `data_v3_3/egotools_v3_3_sft_final_clips.swift.jsonl`
61
+
62
+ Video references point to local clips under:
63
+
64
+ `data_v3_3/video_clips`
65
+
66
+ ### Overall Mix
67
+
68
+ | Family | Rows | Ratio |
69
+ |---|---:|---:|
70
+ | Multiple-choice QA | 104,613 | 90.16% |
71
+ | Caption / narration completion | 9,473 | 8.16% |
72
+ | Open-ended QA | 1,945 | 1.68% |
73
+ | Total | 116,031 | 100.00% |
74
+
75
+ ### Sample Type Mix
76
+
77
+ | Sample type | Rows | Ratio |
78
+ |---|---:|---:|
79
+ | `mcq` | 63,276 | 54.53% |
80
+ | `narration_mcq` | 17,591 | 15.16% |
81
+ | `egoschema_caption_mcq` | 11,830 | 10.20% |
82
+ | `egoplan_next_action_mcq` | 7,990 | 6.89% |
83
+ | `caption_completion` | 7,532 | 6.49% |
84
+ | `egoschema_fused_mcq` | 3,926 | 3.38% |
85
+ | `egothink_open_qa` | 1,945 | 1.68% |
86
+ | `narration_completion` | 1,941 | 1.67% |
87
+
88
+ ### Option / Answer Balance
89
+
90
+ The MCQ portion was deterministically balanced by option count.
91
+
92
+ | Option count | Answer distribution |
93
+ |---:|---|
94
+ | 4 options | A: 1,998; B: 1,997; C: 1,998; D: 1,997 |
95
+ | 5 options | A: 6,669; B: 6,669; C: 6,670; D: 6,669; E: 6,670 |
96
+ | 8 options | A: 7,910; B: 7,909; C: 7,910; D: 7,910; E: 7,909; F: 7,910; G: 7,909; H: 7,909 |
97
+
98
+ ### Video Coverage
99
+
100
+ | Field | Value |
101
+ |---|---:|
102
+ | Unique video references | 362 |
103
+ | Unique generated clips | 13,100 |
104
+ | Missing video rows | 0 |
105
+ | Full train-video references | 92,572 |
106
+ | Train-segment clip references | 23,459 |
107
+
108
+ ## Checkpoint Metrics
109
+
110
+ At `checkpoint-600`:
111
+
112
+ | Metric | Value |
113
+ |---|---:|
114
+ | Global step | 600 / 907 |
115
+ | Epoch | 0.6619 |
116
+ | Recent logged loss at step 600 | 0.8500 |
117
+ | Token accuracy at step 600 | 0.7705 |
118
+ | Learning rate | 2.3e-6 |
119
+ | Reported memory | 38.56 GiB |
120
+ | Average training speed | ~127.5 s/iter |
121
+
122
+ No evaluation set was run for this checkpoint.
123
+
124
+ ## Intended Use
125
+
126
+ This checkpoint is intended for internal EgoTools experiments and checkpoint-level comparison. It is not a final released model.
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+ "_val_dataset_exists": false,
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+ "hub": "<class 'swift.hub.hub.MSHub'>",
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+ "evaluation_strategy": "steps",
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+ "training_args": "Seq2SeqTrainingArguments(output_dir='/mnt/raid10/sltian/egotools_dev_data/workspace/ms-swift/output/egotools_qwen3vl8b_v3_3_full_base_direct_8gpu_64f_bs2_acc8_20260505_235414', overwrite_output_dir=False, do_train=False, do_eval=False, do_predict=False, eval_strategy=<IntervalStrategy.NO: 'no'>, prediction_loss_only=False, per_device_train_batch_size=2, per_device_eval_batch_size=1, per_gpu_train_batch_size=None, per_gpu_eval_batch_size=None, gradient_accumulation_steps=8, eval_accumulation_steps=None, eval_delay=0, torch_empty_cache_steps=None, learning_rate=2.3e-06, weight_decay=0.1, adam_beta1=0.9, adam_beta2=0.95, adam_epsilon=1e-08, max_grad_norm=1.0, num_train_epochs=1.0, max_steps=-1, lr_scheduler_type=<SchedulerType.CONSTANT: 'constant'>, lr_scheduler_kwargs=None, warmup_ratio=0.0, warmup_steps=0, log_level='passive', log_level_replica='warning', log_on_each_node=True, 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use_liger_kernel=False, liger_kernel_config=None, eval_use_gather_object=False, average_tokens_across_devices=None, sortish_sampler=False, predict_with_generate=False, generation_max_length=None, generation_num_beams=None, generation_config=None, tuner_backend='peft', vit_gradient_checkpointing=False, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, safe_serialization=True, max_shard_size='5GB', check_model=True, acc_strategy='token', train_dataloader_shuffle=True, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, ds3_gather_for_generation=True, resume_only_model=False, optimizer=None, loss_type=None, eval_metric=None, callbacks=[], early_stop_interval=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=None, eval_generation_config=None, extra_eval_args=None, tuner_type='full', use_galore=False, galore_target_modules=None, galore_rank=128, galore_update_proj_gap=50, galore_scale=1.0, galore_proj_type='std', galore_optim_per_parameter=False, galore_with_embedding=False, galore_quantization=False, galore_proj_quant=False, galore_proj_bits=4, galore_proj_group_size=256, galore_cos_threshold=0.4, galore_gamma_proj=2, galore_queue_size=5, lisa_activated_layers=0, lisa_step_interval=20, use_flash_ckpt=False)"
409
+ }
checkpoint-600/chat_template.jinja ADDED
@@ -0,0 +1,120 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
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+ {%- if messages[0].role == 'system' %}
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+ {%- if messages[0].content is string %}
5
+ {{- messages[0].content }}
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+ {%- else %}
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+ {%- for content in messages[0].content %}
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+ {%- if 'text' in content %}
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+ {{- content.text }}
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+ {%- endif %}
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+ {%- endfor %}
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+ {%- endif %}
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+ {{- '\n\n' }}
14
+ {%- endif %}
15
+ {{- "# 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' }}
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+ {%- if messages[0].content is string %}
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+ {{- messages[0].content }}
26
+ {%- else %}
27
+ {%- for content in messages[0].content %}
28
+ {%- if 'text' in content %}
29
+ {{- content.text }}
30
+ {%- endif %}
31
+ {%- endfor %}
32
+ {%- endif %}
33
+ {{- '<|im_end|>\n' }}
34
+ {%- endif %}
35
+ {%- endif %}
36
+ {%- set image_count = namespace(value=0) %}
37
+ {%- set video_count = namespace(value=0) %}
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+ {%- for message in messages %}
39
+ {%- if message.role == "user" %}
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+ {{- '<|im_start|>' + message.role + '\n' }}
41
+ {%- if message.content is string %}
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+ {{- message.content }}
43
+ {%- else %}
44
+ {%- for content in message.content %}
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+ {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
46
+ {%- set image_count.value = image_count.value + 1 %}
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+ {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
48
+ <|vision_start|><|image_pad|><|vision_end|>
49
+ {%- elif content.type == 'video' or 'video' in content %}
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+ {%- set video_count.value = video_count.value + 1 %}
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+ {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
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+ <|vision_start|><|video_pad|><|vision_end|>
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+ {%- elif 'text' in content %}
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+ {{- content.text }}
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+ {%- endif %}
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+ {%- endfor %}
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+ {%- endif %}
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+ {{- '<|im_end|>\n' }}
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+ {%- elif message.role == "assistant" %}
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+ {{- '<|im_start|>' + message.role + '\n' }}
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+ {%- if message.content is string %}
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+ {{- message.content }}
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+ {%- else %}
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+ {%- for content_item in message.content %}
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+ {%- if 'text' in content_item %}
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+ {{- content_item.text }}
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+ {%- endif %}
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+ {%- endfor %}
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+ {%- endif %}
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+ {%- if message.tool_calls %}
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+ {%- for tool_call in message.tool_calls %}
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+ {%- if (loop.first and message.content) or (not loop.first) %}
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+ {{- '\n' }}
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+ {%- endif %}
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+ {%- if tool_call.function %}
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+ {%- set tool_call = tool_call.function %}
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+ {%- endif %}
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+ {{- '<tool_call>\n{"name": "' }}
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+ {{- tool_call.name }}
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+ {{- '", "arguments": ' }}
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+ {%- if tool_call.arguments is string %}
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+ {{- tool_call.arguments }}
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+ {%- else %}
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+ {{- tool_call.arguments | tojson }}
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+ {{- '}\n</tool_call>' }}
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+ {%- endfor %}
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+ {%- endif %}
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+ {{- '<|im_end|>\n' }}
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+ {%- elif message.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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+ {%- if message.content is string %}
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+ {{- message.content }}
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+ {%- else %}
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+ {%- for content in message.content %}
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+ {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
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+ {%- set image_count.value = image_count.value + 1 %}
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+ {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
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+ <|vision_start|><|image_pad|><|vision_end|>
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+ {%- elif content.type == 'video' or 'video' in content %}
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+ {%- set video_count.value = video_count.value + 1 %}
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+ {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
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+ <|vision_start|><|video_pad|><|vision_end|>
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+ {%- elif 'text' in content %}
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+ {{- content.text }}
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+ {%- endif %}
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+ {%- endfor %}
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+ {%- endif %}
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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 %}
checkpoint-600/config.json ADDED
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