freederyan commited on
Commit
3032844
1 Parent(s): 0e69a50

Upload folder using huggingface_hub

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. .ipynb_checkpoints/README-checkpoint.md +74 -0
  2. .ipynb_checkpoints/adapter_config-checkpoint.json +34 -0
  3. .ipynb_checkpoints/all_results-checkpoint.json +12 -0
  4. .ipynb_checkpoints/eval_results-checkpoint.json +7 -0
  5. .ipynb_checkpoints/train_results-checkpoint.json +8 -0
  6. .ipynb_checkpoints/trainer_log-checkpoint.jsonl +6 -0
  7. .ipynb_checkpoints/training_eval_loss-checkpoint.png +0 -0
  8. .ipynb_checkpoints/training_loss-checkpoint.png +0 -0
  9. README.md +74 -0
  10. adapter_config.json +34 -0
  11. adapter_model.safetensors +3 -0
  12. added_tokens.json +24 -0
  13. all_results.json +12 -0
  14. checkpoint-350/.ipynb_checkpoints/trainer_state-checkpoint.json +334 -0
  15. checkpoint-400/README.md +202 -0
  16. checkpoint-400/adapter_config.json +34 -0
  17. checkpoint-400/adapter_model.safetensors +3 -0
  18. checkpoint-400/added_tokens.json +24 -0
  19. checkpoint-400/merges.txt +0 -0
  20. checkpoint-400/optimizer.pt +3 -0
  21. checkpoint-400/rng_state_0.pth +3 -0
  22. checkpoint-400/rng_state_1.pth +3 -0
  23. checkpoint-400/scheduler.pt +3 -0
  24. checkpoint-400/special_tokens_map.json +31 -0
  25. checkpoint-400/tokenizer.json +0 -0
  26. checkpoint-400/tokenizer_config.json +208 -0
  27. checkpoint-400/trainer_state.json +377 -0
  28. checkpoint-400/training_args.bin +3 -0
  29. checkpoint-400/vocab.json +0 -0
  30. checkpoint-448/README.md +202 -0
  31. checkpoint-448/adapter_config.json +34 -0
  32. checkpoint-448/adapter_model.safetensors +3 -0
  33. checkpoint-448/added_tokens.json +24 -0
  34. checkpoint-448/merges.txt +0 -0
  35. checkpoint-448/optimizer.pt +3 -0
  36. checkpoint-448/rng_state_0.pth +3 -0
  37. checkpoint-448/rng_state_1.pth +3 -0
  38. checkpoint-448/scheduler.pt +3 -0
  39. checkpoint-448/special_tokens_map.json +31 -0
  40. checkpoint-448/tokenizer.json +0 -0
  41. checkpoint-448/tokenizer_config.json +208 -0
  42. checkpoint-448/trainer_state.json +405 -0
  43. checkpoint-448/training_args.bin +3 -0
  44. checkpoint-448/vocab.json +0 -0
  45. eval_results.json +7 -0
  46. merges.txt +0 -0
  47. special_tokens_map.json +31 -0
  48. tokenizer.json +0 -0
  49. tokenizer_config.json +208 -0
  50. train_results.json +8 -0
.ipynb_checkpoints/README-checkpoint.md ADDED
@@ -0,0 +1,74 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Qwen/Qwen2.5-32B-Instruct
3
+ library_name: peft
4
+ license: other
5
+ tags:
6
+ - llama-factory
7
+ - lora
8
+ - generated_from_trainer
9
+ model-index:
10
+ - name: v11
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # v11
18
+
19
+ This model is a fine-tuned version of [Qwen/Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) on the freede_router dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 0.2651
22
+
23
+ ## Model description
24
+
25
+ More information needed
26
+
27
+ ## Intended uses & limitations
28
+
29
+ More information needed
30
+
31
+ ## Training and evaluation data
32
+
33
+ More information needed
34
+
35
+ ## Training procedure
36
+
37
+ ### Training hyperparameters
38
+
39
+ The following hyperparameters were used during training:
40
+ - learning_rate: 1.5e-05
41
+ - train_batch_size: 2
42
+ - eval_batch_size: 1
43
+ - seed: 42
44
+ - distributed_type: multi-GPU
45
+ - num_devices: 2
46
+ - gradient_accumulation_steps: 8
47
+ - total_train_batch_size: 32
48
+ - total_eval_batch_size: 2
49
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
50
+ - lr_scheduler_type: cosine_with_restarts
51
+ - lr_scheduler_warmup_ratio: 0.1
52
+ - num_epochs: 7.0
53
+
54
+ ### Training results
55
+
56
+ | Training Loss | Epoch | Step | Validation Loss |
57
+ |:-------------:|:------:|:----:|:---------------:|
58
+ | 0.7767 | 0.7782 | 50 | 0.7420 |
59
+ | 0.4193 | 1.5564 | 100 | 0.4160 |
60
+ | 0.2815 | 2.3346 | 150 | 0.3077 |
61
+ | 0.2131 | 3.1128 | 200 | 0.2698 |
62
+ | 0.2117 | 3.8911 | 250 | 0.2534 |
63
+ | 0.1512 | 4.6693 | 300 | 0.2489 |
64
+ | 0.1235 | 5.4475 | 350 | 0.2626 |
65
+ | 0.126 | 6.2451 | 400 | 0.2628 |
66
+
67
+
68
+ ### Framework versions
69
+
70
+ - PEFT 0.12.0
71
+ - Transformers 4.44.2
72
+ - Pytorch 2.4.0+cu121
73
+ - Datasets 2.21.0
74
+ - Tokenizers 0.19.1
.ipynb_checkpoints/adapter_config-checkpoint.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "Qwen/Qwen2.5-32B-Instruct",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 64,
14
+ "lora_dropout": 0.0,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 32,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "up_proj",
24
+ "down_proj",
25
+ "o_proj",
26
+ "k_proj",
27
+ "q_proj",
28
+ "v_proj",
29
+ "gate_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
.ipynb_checkpoints/all_results-checkpoint.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.992217898832685,
3
+ "eval_loss": 0.2651423215866089,
4
+ "eval_runtime": 56.5548,
5
+ "eval_samples_per_second": 4.049,
6
+ "eval_steps_per_second": 2.033,
7
+ "total_flos": 4.3438733670450463e+18,
8
+ "train_loss": 0.026487351528235843,
9
+ "train_runtime": 2695.376,
10
+ "train_samples_per_second": 5.332,
11
+ "train_steps_per_second": 0.166
12
+ }
.ipynb_checkpoints/eval_results-checkpoint.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.992217898832685,
3
+ "eval_loss": 0.2651423215866089,
4
+ "eval_runtime": 56.5548,
5
+ "eval_samples_per_second": 4.049,
6
+ "eval_steps_per_second": 2.033
7
+ }
.ipynb_checkpoints/train_results-checkpoint.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.992217898832685,
3
+ "total_flos": 4.3438733670450463e+18,
4
+ "train_loss": 0.026487351528235843,
5
+ "train_runtime": 2695.376,
6
+ "train_samples_per_second": 5.332,
7
+ "train_steps_per_second": 0.166
8
+ }
.ipynb_checkpoints/trainer_log-checkpoint.jsonl ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {"current_steps": 360, "total_steps": 448, "loss": 0.1272, "learning_rate": 1.6966304849517184e-06, "epoch": 5.622568093385214, "percentage": 80.36, "elapsed_time": "0:04:30", "remaining_time": "0:01:06"}
2
+ {"current_steps": 370, "total_steps": 448, "loss": 0.1251, "learning_rate": 1.3442741909454295e-06, "epoch": 5.778210116731517, "percentage": 82.59, "elapsed_time": "0:09:02", "remaining_time": "0:01:54"}
3
+ {"current_steps": 380, "total_steps": 448, "loss": 0.1363, "learning_rate": 1.0293073381696139e-06, "epoch": 5.933852140077821, "percentage": 84.82, "elapsed_time": "0:13:28", "remaining_time": "0:02:24"}
4
+ {"current_steps": 390, "total_steps": 448, "loss": 0.1134, "learning_rate": 7.536430129112046e-07, "epoch": 6.089494163424124, "percentage": 87.05, "elapsed_time": "0:17:52", "remaining_time": "0:02:39"}
5
+ {"current_steps": 400, "total_steps": 448, "loss": 0.126, "learning_rate": 5.189555806972418e-07, "epoch": 6.245136186770428, "percentage": 89.29, "elapsed_time": "0:22:21", "remaining_time": "0:02:40"}
6
+ {"current_steps": 400, "total_steps": 448, "eval_loss": 0.26281753182411194, "epoch": 6.245136186770428, "percentage": 89.29, "elapsed_time": "0:23:17", "remaining_time": "0:02:47"}
.ipynb_checkpoints/training_eval_loss-checkpoint.png ADDED
.ipynb_checkpoints/training_loss-checkpoint.png ADDED
README.md ADDED
@@ -0,0 +1,74 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Qwen/Qwen2.5-32B-Instruct
3
+ library_name: peft
4
+ license: other
5
+ tags:
6
+ - llama-factory
7
+ - lora
8
+ - generated_from_trainer
9
+ model-index:
10
+ - name: v11
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # v11
18
+
19
+ This model is a fine-tuned version of [Qwen/Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) on the freede_router dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 0.2651
22
+
23
+ ## Model description
24
+
25
+ More information needed
26
+
27
+ ## Intended uses & limitations
28
+
29
+ More information needed
30
+
31
+ ## Training and evaluation data
32
+
33
+ More information needed
34
+
35
+ ## Training procedure
36
+
37
+ ### Training hyperparameters
38
+
39
+ The following hyperparameters were used during training:
40
+ - learning_rate: 1.5e-05
41
+ - train_batch_size: 2
42
+ - eval_batch_size: 1
43
+ - seed: 42
44
+ - distributed_type: multi-GPU
45
+ - num_devices: 2
46
+ - gradient_accumulation_steps: 8
47
+ - total_train_batch_size: 32
48
+ - total_eval_batch_size: 2
49
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
50
+ - lr_scheduler_type: cosine_with_restarts
51
+ - lr_scheduler_warmup_ratio: 0.1
52
+ - num_epochs: 7.0
53
+
54
+ ### Training results
55
+
56
+ | Training Loss | Epoch | Step | Validation Loss |
57
+ |:-------------:|:------:|:----:|:---------------:|
58
+ | 0.7767 | 0.7782 | 50 | 0.7420 |
59
+ | 0.4193 | 1.5564 | 100 | 0.4160 |
60
+ | 0.2815 | 2.3346 | 150 | 0.3077 |
61
+ | 0.2131 | 3.1128 | 200 | 0.2698 |
62
+ | 0.2117 | 3.8911 | 250 | 0.2534 |
63
+ | 0.1512 | 4.6693 | 300 | 0.2489 |
64
+ | 0.1235 | 5.4475 | 350 | 0.2626 |
65
+ | 0.126 | 6.2451 | 400 | 0.2628 |
66
+
67
+
68
+ ### Framework versions
69
+
70
+ - PEFT 0.12.0
71
+ - Transformers 4.44.2
72
+ - Pytorch 2.4.0+cu121
73
+ - Datasets 2.21.0
74
+ - Tokenizers 0.19.1
adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "Qwen/Qwen2.5-32B-Instruct",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 64,
14
+ "lora_dropout": 0.0,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 32,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "up_proj",
24
+ "down_proj",
25
+ "o_proj",
26
+ "k_proj",
27
+ "q_proj",
28
+ "v_proj",
29
+ "gate_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f2dc28762d97fdc784e4f71c6df797b67f65ee748ccd27cc60d1fad6d1042c97
3
+ size 1073863208
added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.992217898832685,
3
+ "eval_loss": 0.2651423215866089,
4
+ "eval_runtime": 56.5548,
5
+ "eval_samples_per_second": 4.049,
6
+ "eval_steps_per_second": 2.033,
7
+ "total_flos": 4.3438733670450463e+18,
8
+ "train_loss": 0.026487351528235843,
9
+ "train_runtime": 2695.376,
10
+ "train_samples_per_second": 5.332,
11
+ "train_steps_per_second": 0.166
12
+ }
checkpoint-350/.ipynb_checkpoints/trainer_state-checkpoint.json ADDED
@@ -0,0 +1,334 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 5.447470817120623,
5
+ "eval_steps": 50,
6
+ "global_step": 350,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.1556420233463035,
13
+ "grad_norm": 5.363790512084961,
14
+ "learning_rate": 3.3333333333333333e-06,
15
+ "loss": 2.5426,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.311284046692607,
20
+ "grad_norm": 5.297606468200684,
21
+ "learning_rate": 6.666666666666667e-06,
22
+ "loss": 2.4551,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.4669260700389105,
27
+ "grad_norm": 1.6734049320220947,
28
+ "learning_rate": 9.999999999999999e-06,
29
+ "loss": 1.5765,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.622568093385214,
34
+ "grad_norm": 0.5996205806732178,
35
+ "learning_rate": 1.3333333333333333e-05,
36
+ "loss": 0.9482,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.7782101167315175,
41
+ "grad_norm": 0.5326632857322693,
42
+ "learning_rate": 1.4994303528285384e-05,
43
+ "loss": 0.7767,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.7782101167315175,
48
+ "eval_loss": 0.7420370578765869,
49
+ "eval_runtime": 75.0351,
50
+ "eval_samples_per_second": 3.052,
51
+ "eval_steps_per_second": 1.533,
52
+ "step": 50
53
+ },
54
+ {
55
+ "epoch": 0.933852140077821,
56
+ "grad_norm": 0.47296807169914246,
57
+ "learning_rate": 1.4948783661087592e-05,
58
+ "loss": 0.6917,
59
+ "step": 60
60
+ },
61
+ {
62
+ "epoch": 1.0894941634241244,
63
+ "grad_norm": 0.5496929883956909,
64
+ "learning_rate": 1.485802041113141e-05,
65
+ "loss": 0.5968,
66
+ "step": 70
67
+ },
68
+ {
69
+ "epoch": 1.245136186770428,
70
+ "grad_norm": 0.5656551122665405,
71
+ "learning_rate": 1.4722565067948796e-05,
72
+ "loss": 0.5096,
73
+ "step": 80
74
+ },
75
+ {
76
+ "epoch": 1.4007782101167314,
77
+ "grad_norm": 0.7151289582252502,
78
+ "learning_rate": 1.454324037767081e-05,
79
+ "loss": 0.5053,
80
+ "step": 90
81
+ },
82
+ {
83
+ "epoch": 1.556420233463035,
84
+ "grad_norm": 0.7926196455955505,
85
+ "learning_rate": 1.4321135545726069e-05,
86
+ "loss": 0.4193,
87
+ "step": 100
88
+ },
89
+ {
90
+ "epoch": 1.556420233463035,
91
+ "eval_loss": 0.4160374701023102,
92
+ "eval_runtime": 75.0144,
93
+ "eval_samples_per_second": 3.053,
94
+ "eval_steps_per_second": 1.533,
95
+ "step": 100
96
+ },
97
+ {
98
+ "epoch": 1.7120622568093387,
99
+ "grad_norm": 0.7219254970550537,
100
+ "learning_rate": 1.4057599621084365e-05,
101
+ "loss": 0.3695,
102
+ "step": 110
103
+ },
104
+ {
105
+ "epoch": 1.867704280155642,
106
+ "grad_norm": 0.7828359007835388,
107
+ "learning_rate": 1.3754233302229055e-05,
108
+ "loss": 0.3554,
109
+ "step": 120
110
+ },
111
+ {
112
+ "epoch": 2.0233463035019454,
113
+ "grad_norm": 0.6474707126617432,
114
+ "learning_rate": 1.3412879214628194e-05,
115
+ "loss": 0.3115,
116
+ "step": 130
117
+ },
118
+ {
119
+ "epoch": 2.178988326848249,
120
+ "grad_norm": 0.8858464360237122,
121
+ "learning_rate": 1.3035610718758362e-05,
122
+ "loss": 0.2754,
123
+ "step": 140
124
+ },
125
+ {
126
+ "epoch": 2.3346303501945527,
127
+ "grad_norm": 0.6484001278877258,
128
+ "learning_rate": 1.2624719316660416e-05,
129
+ "loss": 0.2815,
130
+ "step": 150
131
+ },
132
+ {
133
+ "epoch": 2.3346303501945527,
134
+ "eval_loss": 0.3077065050601959,
135
+ "eval_runtime": 74.9901,
136
+ "eval_samples_per_second": 3.054,
137
+ "eval_steps_per_second": 1.534,
138
+ "step": 150
139
+ },
140
+ {
141
+ "epoch": 2.490272373540856,
142
+ "grad_norm": 0.9611061811447144,
143
+ "learning_rate": 1.218270073351891e-05,
144
+ "loss": 0.2641,
145
+ "step": 160
146
+ },
147
+ {
148
+ "epoch": 2.6459143968871595,
149
+ "grad_norm": 1.0954933166503906,
150
+ "learning_rate": 1.1712239758804626e-05,
151
+ "loss": 0.2675,
152
+ "step": 170
153
+ },
154
+ {
155
+ "epoch": 2.801556420233463,
156
+ "grad_norm": 0.7623236775398254,
157
+ "learning_rate": 1.1216193939054056e-05,
158
+ "loss": 0.26,
159
+ "step": 180
160
+ },
161
+ {
162
+ "epoch": 2.9571984435797667,
163
+ "grad_norm": 0.8693030476570129,
164
+ "learning_rate": 1.0697576221334781e-05,
165
+ "loss": 0.2494,
166
+ "step": 190
167
+ },
168
+ {
169
+ "epoch": 3.11284046692607,
170
+ "grad_norm": 0.9107272028923035,
171
+ "learning_rate": 1.0159536652819018e-05,
172
+ "loss": 0.2131,
173
+ "step": 200
174
+ },
175
+ {
176
+ "epoch": 3.11284046692607,
177
+ "eval_loss": 0.26981863379478455,
178
+ "eval_runtime": 75.23,
179
+ "eval_samples_per_second": 3.044,
180
+ "eval_steps_per_second": 1.529,
181
+ "step": 200
182
+ },
183
+ {
184
+ "epoch": 3.2684824902723735,
185
+ "grad_norm": 0.7745103240013123,
186
+ "learning_rate": 9.605343247620892e-06,
187
+ "loss": 0.2036,
188
+ "step": 210
189
+ },
190
+ {
191
+ "epoch": 3.424124513618677,
192
+ "grad_norm": 0.9593366980552673,
193
+ "learning_rate": 9.038362137110888e-06,
194
+ "loss": 0.2013,
195
+ "step": 220
196
+ },
197
+ {
198
+ "epoch": 3.5797665369649807,
199
+ "grad_norm": 1.2859652042388916,
200
+ "learning_rate": 8.462037124273056e-06,
201
+ "loss": 0.195,
202
+ "step": 230
203
+ },
204
+ {
205
+ "epoch": 3.735408560311284,
206
+ "grad_norm": 1.0107340812683105,
207
+ "learning_rate": 7.879868766290346e-06,
208
+ "loss": 0.1884,
209
+ "step": 240
210
+ },
211
+ {
212
+ "epoch": 3.8910505836575875,
213
+ "grad_norm": 0.8121142387390137,
214
+ "learning_rate": 7.2953931124089755e-06,
215
+ "loss": 0.2117,
216
+ "step": 250
217
+ },
218
+ {
219
+ "epoch": 3.8910505836575875,
220
+ "eval_loss": 0.25344181060791016,
221
+ "eval_runtime": 75.1186,
222
+ "eval_samples_per_second": 3.049,
223
+ "eval_steps_per_second": 1.531,
224
+ "step": 250
225
+ },
226
+ {
227
+ "epoch": 4.046692607003891,
228
+ "grad_norm": 0.7917193174362183,
229
+ "learning_rate": 6.71216022622653e-06,
230
+ "loss": 0.2004,
231
+ "step": 260
232
+ },
233
+ {
234
+ "epoch": 4.202334630350195,
235
+ "grad_norm": 1.1348683834075928,
236
+ "learning_rate": 6.133712622857887e-06,
237
+ "loss": 0.1652,
238
+ "step": 270
239
+ },
240
+ {
241
+ "epoch": 4.357976653696498,
242
+ "grad_norm": 1.1503227949142456,
243
+ "learning_rate": 5.563563751950078e-06,
244
+ "loss": 0.1647,
245
+ "step": 280
246
+ },
247
+ {
248
+ "epoch": 4.5136186770428015,
249
+ "grad_norm": 0.8282884359359741,
250
+ "learning_rate": 5.005176657238754e-06,
251
+ "loss": 0.1613,
252
+ "step": 290
253
+ },
254
+ {
255
+ "epoch": 4.669260700389105,
256
+ "grad_norm": 1.0249297618865967,
257
+ "learning_rate": 4.461942942266561e-06,
258
+ "loss": 0.1512,
259
+ "step": 300
260
+ },
261
+ {
262
+ "epoch": 4.669260700389105,
263
+ "eval_loss": 0.2489164173603058,
264
+ "eval_runtime": 75.279,
265
+ "eval_samples_per_second": 3.042,
266
+ "eval_steps_per_second": 1.528,
267
+ "step": 300
268
+ },
269
+ {
270
+ "epoch": 4.824902723735408,
271
+ "grad_norm": 0.966607391834259,
272
+ "learning_rate": 3.937162170024189e-06,
273
+ "loss": 0.1582,
274
+ "step": 310
275
+ },
276
+ {
277
+ "epoch": 4.980544747081712,
278
+ "grad_norm": 0.8376232385635376,
279
+ "learning_rate": 3.4340218216391697e-06,
280
+ "loss": 0.1485,
281
+ "step": 320
282
+ },
283
+ {
284
+ "epoch": 5.136186770428016,
285
+ "grad_norm": 0.9548529386520386,
286
+ "learning_rate": 2.955577935841975e-06,
287
+ "loss": 0.1427,
288
+ "step": 330
289
+ },
290
+ {
291
+ "epoch": 5.291828793774319,
292
+ "grad_norm": 0.9749653935432434,
293
+ "learning_rate": 2.5047365468038768e-06,
294
+ "loss": 0.1335,
295
+ "step": 340
296
+ },
297
+ {
298
+ "epoch": 5.447470817120623,
299
+ "grad_norm": 1.2298961877822876,
300
+ "learning_rate": 2.0842360330918544e-06,
301
+ "loss": 0.1235,
302
+ "step": 350
303
+ },
304
+ {
305
+ "epoch": 5.447470817120623,
306
+ "eval_loss": 0.2625938951969147,
307
+ "eval_runtime": 74.8495,
308
+ "eval_samples_per_second": 3.059,
309
+ "eval_steps_per_second": 1.536,
310
+ "step": 350
311
+ }
312
+ ],
313
+ "logging_steps": 10,
314
+ "max_steps": 448,
315
+ "num_input_tokens_seen": 0,
316
+ "num_train_epochs": 7,
317
+ "save_steps": 50,
318
+ "stateful_callbacks": {
319
+ "TrainerControl": {
320
+ "args": {
321
+ "should_epoch_stop": false,
322
+ "should_evaluate": false,
323
+ "should_log": false,
324
+ "should_save": true,
325
+ "should_training_stop": false
326
+ },
327
+ "attributes": {}
328
+ }
329
+ },
330
+ "total_flos": 3.3919626884425974e+18,
331
+ "train_batch_size": 2,
332
+ "trial_name": null,
333
+ "trial_params": null
334
+ }
checkpoint-400/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Qwen/Qwen2.5-32B-Instruct
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.12.0
checkpoint-400/adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "Qwen/Qwen2.5-32B-Instruct",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 64,
14
+ "lora_dropout": 0.0,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 32,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "up_proj",
24
+ "down_proj",
25
+ "o_proj",
26
+ "k_proj",
27
+ "q_proj",
28
+ "v_proj",
29
+ "gate_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
checkpoint-400/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:46888206d3a42cb9d51985f76a54607c60f9f8e0568b88927ee52dc96cac595e
3
+ size 1073863208
checkpoint-400/added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
checkpoint-400/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-400/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:53dca604c8d04d4db5d289d66371eb431346f56010d1a116a1b0c266c0de7014
3
+ size 2148254354
checkpoint-400/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0b72d3ff0d9cef769a20852fa3473da68a2ad59950ff6438edf98c95328ba5c1
3
+ size 14512
checkpoint-400/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bff6047902e34b76f0af39d44c10111f1acce1cfd48509bfb6b92e02a5c71d0f
3
+ size 14512
checkpoint-400/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:649a765d22eae579d5b6d7341d93ef96148428c332f3d2d907b92bea347416d8
3
+ size 1064
checkpoint-400/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
checkpoint-400/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-400/tokenizer_config.json ADDED
@@ -0,0 +1,208 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "chat_template": "{% set system_message = 'You are a helpful assistant.' %}{% 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\n' + system_message + '<|im_end|>\n' }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|im_start|>user\n' + content + '<|im_end|>\n<|im_start|>assistant\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|im_end|>' + '\n' }}{% endif %}{% endfor %}",
199
+ "clean_up_tokenization_spaces": false,
200
+ "eos_token": "<|im_end|>",
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
+ }
checkpoint-400/trainer_state.json ADDED
@@ -0,0 +1,377 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 6.245136186770428,
5
+ "eval_steps": 50,
6
+ "global_step": 400,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.1556420233463035,
13
+ "grad_norm": 5.363790512084961,
14
+ "learning_rate": 3.3333333333333333e-06,
15
+ "loss": 2.5426,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.311284046692607,
20
+ "grad_norm": 5.297606468200684,
21
+ "learning_rate": 6.666666666666667e-06,
22
+ "loss": 2.4551,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.4669260700389105,
27
+ "grad_norm": 1.6734049320220947,
28
+ "learning_rate": 9.999999999999999e-06,
29
+ "loss": 1.5765,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.622568093385214,
34
+ "grad_norm": 0.5996205806732178,
35
+ "learning_rate": 1.3333333333333333e-05,
36
+ "loss": 0.9482,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.7782101167315175,
41
+ "grad_norm": 0.5326632857322693,
42
+ "learning_rate": 1.4994303528285384e-05,
43
+ "loss": 0.7767,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.7782101167315175,
48
+ "eval_loss": 0.7420370578765869,
49
+ "eval_runtime": 75.0351,
50
+ "eval_samples_per_second": 3.052,
51
+ "eval_steps_per_second": 1.533,
52
+ "step": 50
53
+ },
54
+ {
55
+ "epoch": 0.933852140077821,
56
+ "grad_norm": 0.47296807169914246,
57
+ "learning_rate": 1.4948783661087592e-05,
58
+ "loss": 0.6917,
59
+ "step": 60
60
+ },
61
+ {
62
+ "epoch": 1.0894941634241244,
63
+ "grad_norm": 0.5496929883956909,
64
+ "learning_rate": 1.485802041113141e-05,
65
+ "loss": 0.5968,
66
+ "step": 70
67
+ },
68
+ {
69
+ "epoch": 1.245136186770428,
70
+ "grad_norm": 0.5656551122665405,
71
+ "learning_rate": 1.4722565067948796e-05,
72
+ "loss": 0.5096,
73
+ "step": 80
74
+ },
75
+ {
76
+ "epoch": 1.4007782101167314,
77
+ "grad_norm": 0.7151289582252502,
78
+ "learning_rate": 1.454324037767081e-05,
79
+ "loss": 0.5053,
80
+ "step": 90
81
+ },
82
+ {
83
+ "epoch": 1.556420233463035,
84
+ "grad_norm": 0.7926196455955505,
85
+ "learning_rate": 1.4321135545726069e-05,
86
+ "loss": 0.4193,
87
+ "step": 100
88
+ },
89
+ {
90
+ "epoch": 1.556420233463035,
91
+ "eval_loss": 0.4160374701023102,
92
+ "eval_runtime": 75.0144,
93
+ "eval_samples_per_second": 3.053,
94
+ "eval_steps_per_second": 1.533,
95
+ "step": 100
96
+ },
97
+ {
98
+ "epoch": 1.7120622568093387,
99
+ "grad_norm": 0.7219254970550537,
100
+ "learning_rate": 1.4057599621084365e-05,
101
+ "loss": 0.3695,
102
+ "step": 110
103
+ },
104
+ {
105
+ "epoch": 1.867704280155642,
106
+ "grad_norm": 0.7828359007835388,
107
+ "learning_rate": 1.3754233302229055e-05,
108
+ "loss": 0.3554,
109
+ "step": 120
110
+ },
111
+ {
112
+ "epoch": 2.0233463035019454,
113
+ "grad_norm": 0.6474707126617432,
114
+ "learning_rate": 1.3412879214628194e-05,
115
+ "loss": 0.3115,
116
+ "step": 130
117
+ },
118
+ {
119
+ "epoch": 2.178988326848249,
120
+ "grad_norm": 0.8858464360237122,
121
+ "learning_rate": 1.3035610718758362e-05,
122
+ "loss": 0.2754,
123
+ "step": 140
124
+ },
125
+ {
126
+ "epoch": 2.3346303501945527,
127
+ "grad_norm": 0.6484001278877258,
128
+ "learning_rate": 1.2624719316660416e-05,
129
+ "loss": 0.2815,
130
+ "step": 150
131
+ },
132
+ {
133
+ "epoch": 2.3346303501945527,
134
+ "eval_loss": 0.3077065050601959,
135
+ "eval_runtime": 74.9901,
136
+ "eval_samples_per_second": 3.054,
137
+ "eval_steps_per_second": 1.534,
138
+ "step": 150
139
+ },
140
+ {
141
+ "epoch": 2.490272373540856,
142
+ "grad_norm": 0.9611061811447144,
143
+ "learning_rate": 1.218270073351891e-05,
144
+ "loss": 0.2641,
145
+ "step": 160
146
+ },
147
+ {
148
+ "epoch": 2.6459143968871595,
149
+ "grad_norm": 1.0954933166503906,
150
+ "learning_rate": 1.1712239758804626e-05,
151
+ "loss": 0.2675,
152
+ "step": 170
153
+ },
154
+ {
155
+ "epoch": 2.801556420233463,
156
+ "grad_norm": 0.7623236775398254,
157
+ "learning_rate": 1.1216193939054056e-05,
158
+ "loss": 0.26,
159
+ "step": 180
160
+ },
161
+ {
162
+ "epoch": 2.9571984435797667,
163
+ "grad_norm": 0.8693030476570129,
164
+ "learning_rate": 1.0697576221334781e-05,
165
+ "loss": 0.2494,
166
+ "step": 190
167
+ },
168
+ {
169
+ "epoch": 3.11284046692607,
170
+ "grad_norm": 0.9107272028923035,
171
+ "learning_rate": 1.0159536652819018e-05,
172
+ "loss": 0.2131,
173
+ "step": 200
174
+ },
175
+ {
176
+ "epoch": 3.11284046692607,
177
+ "eval_loss": 0.26981863379478455,
178
+ "eval_runtime": 75.23,
179
+ "eval_samples_per_second": 3.044,
180
+ "eval_steps_per_second": 1.529,
181
+ "step": 200
182
+ },
183
+ {
184
+ "epoch": 3.2684824902723735,
185
+ "grad_norm": 0.7745103240013123,
186
+ "learning_rate": 9.605343247620892e-06,
187
+ "loss": 0.2036,
188
+ "step": 210
189
+ },
190
+ {
191
+ "epoch": 3.424124513618677,
192
+ "grad_norm": 0.9593366980552673,
193
+ "learning_rate": 9.038362137110888e-06,
194
+ "loss": 0.2013,
195
+ "step": 220
196
+ },
197
+ {
198
+ "epoch": 3.5797665369649807,
199
+ "grad_norm": 1.2859652042388916,
200
+ "learning_rate": 8.462037124273056e-06,
201
+ "loss": 0.195,
202
+ "step": 230
203
+ },
204
+ {
205
+ "epoch": 3.735408560311284,
206
+ "grad_norm": 1.0107340812683105,
207
+ "learning_rate": 7.879868766290346e-06,
208
+ "loss": 0.1884,
209
+ "step": 240
210
+ },
211
+ {
212
+ "epoch": 3.8910505836575875,
213
+ "grad_norm": 0.8121142387390137,
214
+ "learning_rate": 7.2953931124089755e-06,
215
+ "loss": 0.2117,
216
+ "step": 250
217
+ },
218
+ {
219
+ "epoch": 3.8910505836575875,
220
+ "eval_loss": 0.25344181060791016,
221
+ "eval_runtime": 75.1186,
222
+ "eval_samples_per_second": 3.049,
223
+ "eval_steps_per_second": 1.531,
224
+ "step": 250
225
+ },
226
+ {
227
+ "epoch": 4.046692607003891,
228
+ "grad_norm": 0.7917193174362183,
229
+ "learning_rate": 6.71216022622653e-06,
230
+ "loss": 0.2004,
231
+ "step": 260
232
+ },
233
+ {
234
+ "epoch": 4.202334630350195,
235
+ "grad_norm": 1.1348683834075928,
236
+ "learning_rate": 6.133712622857887e-06,
237
+ "loss": 0.1652,
238
+ "step": 270
239
+ },
240
+ {
241
+ "epoch": 4.357976653696498,
242
+ "grad_norm": 1.1503227949142456,
243
+ "learning_rate": 5.563563751950078e-06,
244
+ "loss": 0.1647,
245
+ "step": 280
246
+ },
247
+ {
248
+ "epoch": 4.5136186770428015,
249
+ "grad_norm": 0.8282884359359741,
250
+ "learning_rate": 5.005176657238754e-06,
251
+ "loss": 0.1613,
252
+ "step": 290
253
+ },
254
+ {
255
+ "epoch": 4.669260700389105,
256
+ "grad_norm": 1.0249297618865967,
257
+ "learning_rate": 4.461942942266561e-06,
258
+ "loss": 0.1512,
259
+ "step": 300
260
+ },
261
+ {
262
+ "epoch": 4.669260700389105,
263
+ "eval_loss": 0.2489164173603058,
264
+ "eval_runtime": 75.279,
265
+ "eval_samples_per_second": 3.042,
266
+ "eval_steps_per_second": 1.528,
267
+ "step": 300
268
+ },
269
+ {
270
+ "epoch": 4.824902723735408,
271
+ "grad_norm": 0.966607391834259,
272
+ "learning_rate": 3.937162170024189e-06,
273
+ "loss": 0.1582,
274
+ "step": 310
275
+ },
276
+ {
277
+ "epoch": 4.980544747081712,
278
+ "grad_norm": 0.8376232385635376,
279
+ "learning_rate": 3.4340218216391697e-06,
280
+ "loss": 0.1485,
281
+ "step": 320
282
+ },
283
+ {
284
+ "epoch": 5.136186770428016,
285
+ "grad_norm": 0.9548529386520386,
286
+ "learning_rate": 2.955577935841975e-06,
287
+ "loss": 0.1427,
288
+ "step": 330
289
+ },
290
+ {
291
+ "epoch": 5.291828793774319,
292
+ "grad_norm": 0.9749653935432434,
293
+ "learning_rate": 2.5047365468038768e-06,
294
+ "loss": 0.1335,
295
+ "step": 340
296
+ },
297
+ {
298
+ "epoch": 5.447470817120623,
299
+ "grad_norm": 1.2298961877822876,
300
+ "learning_rate": 2.0842360330918544e-06,
301
+ "loss": 0.1235,
302
+ "step": 350
303
+ },
304
+ {
305
+ "epoch": 5.447470817120623,
306
+ "eval_loss": 0.2625938951969147,
307
+ "eval_runtime": 74.8495,
308
+ "eval_samples_per_second": 3.059,
309
+ "eval_steps_per_second": 1.536,
310
+ "step": 350
311
+ },
312
+ {
313
+ "epoch": 5.622568093385214,
314
+ "grad_norm": 0.8807490468025208,
315
+ "learning_rate": 1.6966304849517184e-06,
316
+ "loss": 0.1272,
317
+ "step": 360
318
+ },
319
+ {
320
+ "epoch": 5.778210116731517,
321
+ "grad_norm": 1.1307696104049683,
322
+ "learning_rate": 1.3442741909454295e-06,
323
+ "loss": 0.1251,
324
+ "step": 370
325
+ },
326
+ {
327
+ "epoch": 5.933852140077821,
328
+ "grad_norm": 0.9986845254898071,
329
+ "learning_rate": 1.0293073381696139e-06,
330
+ "loss": 0.1363,
331
+ "step": 380
332
+ },
333
+ {
334
+ "epoch": 6.089494163424124,
335
+ "grad_norm": 0.9564828872680664,
336
+ "learning_rate": 7.536430129112046e-07,
337
+ "loss": 0.1134,
338
+ "step": 390
339
+ },
340
+ {
341
+ "epoch": 6.245136186770428,
342
+ "grad_norm": 1.1241580247879028,
343
+ "learning_rate": 5.189555806972418e-07,
344
+ "loss": 0.126,
345
+ "step": 400
346
+ },
347
+ {
348
+ "epoch": 6.245136186770428,
349
+ "eval_loss": 0.26281753182411194,
350
+ "eval_runtime": 56.6473,
351
+ "eval_samples_per_second": 4.043,
352
+ "eval_steps_per_second": 2.03,
353
+ "step": 400
354
+ }
355
+ ],
356
+ "logging_steps": 10,
357
+ "max_steps": 448,
358
+ "num_input_tokens_seen": 0,
359
+ "num_train_epochs": 7,
360
+ "save_steps": 50,
361
+ "stateful_callbacks": {
362
+ "TrainerControl": {
363
+ "args": {
364
+ "should_epoch_stop": false,
365
+ "should_evaluate": false,
366
+ "should_log": false,
367
+ "should_save": true,
368
+ "should_training_stop": false
369
+ },
370
+ "attributes": {}
371
+ }
372
+ },
373
+ "total_flos": 3.877988944368894e+18,
374
+ "train_batch_size": 2,
375
+ "trial_name": null,
376
+ "trial_params": null
377
+ }
checkpoint-400/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:95947e61bc3a29afc705d70b3db38a42bb60fbde9b935bca76c74750a33adbfb
3
+ size 5368
checkpoint-400/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-448/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Qwen/Qwen2.5-32B-Instruct
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.12.0
checkpoint-448/adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "Qwen/Qwen2.5-32B-Instruct",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 64,
14
+ "lora_dropout": 0.0,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 32,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "up_proj",
24
+ "down_proj",
25
+ "o_proj",
26
+ "k_proj",
27
+ "q_proj",
28
+ "v_proj",
29
+ "gate_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
checkpoint-448/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f2dc28762d97fdc784e4f71c6df797b67f65ee748ccd27cc60d1fad6d1042c97
3
+ size 1073863208
checkpoint-448/added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
checkpoint-448/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-448/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cdd8f31cfb3845ebedf671af8e202d9fa28a830854c6eef806cbb12a7a28899b
3
+ size 2148254354
checkpoint-448/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0b72d3ff0d9cef769a20852fa3473da68a2ad59950ff6438edf98c95328ba5c1
3
+ size 14512
checkpoint-448/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bff6047902e34b76f0af39d44c10111f1acce1cfd48509bfb6b92e02a5c71d0f
3
+ size 14512
checkpoint-448/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5e3a77e215ded42e1ac570a5351b52f3218cdfaac2f615c9464f6da17874393f
3
+ size 1064
checkpoint-448/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
checkpoint-448/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-448/tokenizer_config.json ADDED
@@ -0,0 +1,208 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "chat_template": "{% set system_message = 'You are a helpful assistant.' %}{% 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\n' + system_message + '<|im_end|>\n' }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|im_start|>user\n' + content + '<|im_end|>\n<|im_start|>assistant\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|im_end|>' + '\n' }}{% endif %}{% endfor %}",
199
+ "clean_up_tokenization_spaces": false,
200
+ "eos_token": "<|im_end|>",
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
+ }
checkpoint-448/trainer_state.json ADDED
@@ -0,0 +1,405 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 6.992217898832685,
5
+ "eval_steps": 50,
6
+ "global_step": 448,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.1556420233463035,
13
+ "grad_norm": 5.363790512084961,
14
+ "learning_rate": 3.3333333333333333e-06,
15
+ "loss": 2.5426,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.311284046692607,
20
+ "grad_norm": 5.297606468200684,
21
+ "learning_rate": 6.666666666666667e-06,
22
+ "loss": 2.4551,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.4669260700389105,
27
+ "grad_norm": 1.6734049320220947,
28
+ "learning_rate": 9.999999999999999e-06,
29
+ "loss": 1.5765,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.622568093385214,
34
+ "grad_norm": 0.5996205806732178,
35
+ "learning_rate": 1.3333333333333333e-05,
36
+ "loss": 0.9482,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.7782101167315175,
41
+ "grad_norm": 0.5326632857322693,
42
+ "learning_rate": 1.4994303528285384e-05,
43
+ "loss": 0.7767,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.7782101167315175,
48
+ "eval_loss": 0.7420370578765869,
49
+ "eval_runtime": 75.0351,
50
+ "eval_samples_per_second": 3.052,
51
+ "eval_steps_per_second": 1.533,
52
+ "step": 50
53
+ },
54
+ {
55
+ "epoch": 0.933852140077821,
56
+ "grad_norm": 0.47296807169914246,
57
+ "learning_rate": 1.4948783661087592e-05,
58
+ "loss": 0.6917,
59
+ "step": 60
60
+ },
61
+ {
62
+ "epoch": 1.0894941634241244,
63
+ "grad_norm": 0.5496929883956909,
64
+ "learning_rate": 1.485802041113141e-05,
65
+ "loss": 0.5968,
66
+ "step": 70
67
+ },
68
+ {
69
+ "epoch": 1.245136186770428,
70
+ "grad_norm": 0.5656551122665405,
71
+ "learning_rate": 1.4722565067948796e-05,
72
+ "loss": 0.5096,
73
+ "step": 80
74
+ },
75
+ {
76
+ "epoch": 1.4007782101167314,
77
+ "grad_norm": 0.7151289582252502,
78
+ "learning_rate": 1.454324037767081e-05,
79
+ "loss": 0.5053,
80
+ "step": 90
81
+ },
82
+ {
83
+ "epoch": 1.556420233463035,
84
+ "grad_norm": 0.7926196455955505,
85
+ "learning_rate": 1.4321135545726069e-05,
86
+ "loss": 0.4193,
87
+ "step": 100
88
+ },
89
+ {
90
+ "epoch": 1.556420233463035,
91
+ "eval_loss": 0.4160374701023102,
92
+ "eval_runtime": 75.0144,
93
+ "eval_samples_per_second": 3.053,
94
+ "eval_steps_per_second": 1.533,
95
+ "step": 100
96
+ },
97
+ {
98
+ "epoch": 1.7120622568093387,
99
+ "grad_norm": 0.7219254970550537,
100
+ "learning_rate": 1.4057599621084365e-05,
101
+ "loss": 0.3695,
102
+ "step": 110
103
+ },
104
+ {
105
+ "epoch": 1.867704280155642,
106
+ "grad_norm": 0.7828359007835388,
107
+ "learning_rate": 1.3754233302229055e-05,
108
+ "loss": 0.3554,
109
+ "step": 120
110
+ },
111
+ {
112
+ "epoch": 2.0233463035019454,
113
+ "grad_norm": 0.6474707126617432,
114
+ "learning_rate": 1.3412879214628194e-05,
115
+ "loss": 0.3115,
116
+ "step": 130
117
+ },
118
+ {
119
+ "epoch": 2.178988326848249,
120
+ "grad_norm": 0.8858464360237122,
121
+ "learning_rate": 1.3035610718758362e-05,
122
+ "loss": 0.2754,
123
+ "step": 140
124
+ },
125
+ {
126
+ "epoch": 2.3346303501945527,
127
+ "grad_norm": 0.6484001278877258,
128
+ "learning_rate": 1.2624719316660416e-05,
129
+ "loss": 0.2815,
130
+ "step": 150
131
+ },
132
+ {
133
+ "epoch": 2.3346303501945527,
134
+ "eval_loss": 0.3077065050601959,
135
+ "eval_runtime": 74.9901,
136
+ "eval_samples_per_second": 3.054,
137
+ "eval_steps_per_second": 1.534,
138
+ "step": 150
139
+ },
140
+ {
141
+ "epoch": 2.490272373540856,
142
+ "grad_norm": 0.9611061811447144,
143
+ "learning_rate": 1.218270073351891e-05,
144
+ "loss": 0.2641,
145
+ "step": 160
146
+ },
147
+ {
148
+ "epoch": 2.6459143968871595,
149
+ "grad_norm": 1.0954933166503906,
150
+ "learning_rate": 1.1712239758804626e-05,
151
+ "loss": 0.2675,
152
+ "step": 170
153
+ },
154
+ {
155
+ "epoch": 2.801556420233463,
156
+ "grad_norm": 0.7623236775398254,
157
+ "learning_rate": 1.1216193939054056e-05,
158
+ "loss": 0.26,
159
+ "step": 180
160
+ },
161
+ {
162
+ "epoch": 2.9571984435797667,
163
+ "grad_norm": 0.8693030476570129,
164
+ "learning_rate": 1.0697576221334781e-05,
165
+ "loss": 0.2494,
166
+ "step": 190
167
+ },
168
+ {
169
+ "epoch": 3.11284046692607,
170
+ "grad_norm": 0.9107272028923035,
171
+ "learning_rate": 1.0159536652819018e-05,
172
+ "loss": 0.2131,
173
+ "step": 200
174
+ },
175
+ {
176
+ "epoch": 3.11284046692607,
177
+ "eval_loss": 0.26981863379478455,
178
+ "eval_runtime": 75.23,
179
+ "eval_samples_per_second": 3.044,
180
+ "eval_steps_per_second": 1.529,
181
+ "step": 200
182
+ },
183
+ {
184
+ "epoch": 3.2684824902723735,
185
+ "grad_norm": 0.7745103240013123,
186
+ "learning_rate": 9.605343247620892e-06,
187
+ "loss": 0.2036,
188
+ "step": 210
189
+ },
190
+ {
191
+ "epoch": 3.424124513618677,
192
+ "grad_norm": 0.9593366980552673,
193
+ "learning_rate": 9.038362137110888e-06,
194
+ "loss": 0.2013,
195
+ "step": 220
196
+ },
197
+ {
198
+ "epoch": 3.5797665369649807,
199
+ "grad_norm": 1.2859652042388916,
200
+ "learning_rate": 8.462037124273056e-06,
201
+ "loss": 0.195,
202
+ "step": 230
203
+ },
204
+ {
205
+ "epoch": 3.735408560311284,
206
+ "grad_norm": 1.0107340812683105,
207
+ "learning_rate": 7.879868766290346e-06,
208
+ "loss": 0.1884,
209
+ "step": 240
210
+ },
211
+ {
212
+ "epoch": 3.8910505836575875,
213
+ "grad_norm": 0.8121142387390137,
214
+ "learning_rate": 7.2953931124089755e-06,
215
+ "loss": 0.2117,
216
+ "step": 250
217
+ },
218
+ {
219
+ "epoch": 3.8910505836575875,
220
+ "eval_loss": 0.25344181060791016,
221
+ "eval_runtime": 75.1186,
222
+ "eval_samples_per_second": 3.049,
223
+ "eval_steps_per_second": 1.531,
224
+ "step": 250
225
+ },
226
+ {
227
+ "epoch": 4.046692607003891,
228
+ "grad_norm": 0.7917193174362183,
229
+ "learning_rate": 6.71216022622653e-06,
230
+ "loss": 0.2004,
231
+ "step": 260
232
+ },
233
+ {
234
+ "epoch": 4.202334630350195,
235
+ "grad_norm": 1.1348683834075928,
236
+ "learning_rate": 6.133712622857887e-06,
237
+ "loss": 0.1652,
238
+ "step": 270
239
+ },
240
+ {
241
+ "epoch": 4.357976653696498,
242
+ "grad_norm": 1.1503227949142456,
243
+ "learning_rate": 5.563563751950078e-06,
244
+ "loss": 0.1647,
245
+ "step": 280
246
+ },
247
+ {
248
+ "epoch": 4.5136186770428015,
249
+ "grad_norm": 0.8282884359359741,
250
+ "learning_rate": 5.005176657238754e-06,
251
+ "loss": 0.1613,
252
+ "step": 290
253
+ },
254
+ {
255
+ "epoch": 4.669260700389105,
256
+ "grad_norm": 1.0249297618865967,
257
+ "learning_rate": 4.461942942266561e-06,
258
+ "loss": 0.1512,
259
+ "step": 300
260
+ },
261
+ {
262
+ "epoch": 4.669260700389105,
263
+ "eval_loss": 0.2489164173603058,
264
+ "eval_runtime": 75.279,
265
+ "eval_samples_per_second": 3.042,
266
+ "eval_steps_per_second": 1.528,
267
+ "step": 300
268
+ },
269
+ {
270
+ "epoch": 4.824902723735408,
271
+ "grad_norm": 0.966607391834259,
272
+ "learning_rate": 3.937162170024189e-06,
273
+ "loss": 0.1582,
274
+ "step": 310
275
+ },
276
+ {
277
+ "epoch": 4.980544747081712,
278
+ "grad_norm": 0.8376232385635376,
279
+ "learning_rate": 3.4340218216391697e-06,
280
+ "loss": 0.1485,
281
+ "step": 320
282
+ },
283
+ {
284
+ "epoch": 5.136186770428016,
285
+ "grad_norm": 0.9548529386520386,
286
+ "learning_rate": 2.955577935841975e-06,
287
+ "loss": 0.1427,
288
+ "step": 330
289
+ },
290
+ {
291
+ "epoch": 5.291828793774319,
292
+ "grad_norm": 0.9749653935432434,
293
+ "learning_rate": 2.5047365468038768e-06,
294
+ "loss": 0.1335,
295
+ "step": 340
296
+ },
297
+ {
298
+ "epoch": 5.447470817120623,
299
+ "grad_norm": 1.2298961877822876,
300
+ "learning_rate": 2.0842360330918544e-06,
301
+ "loss": 0.1235,
302
+ "step": 350
303
+ },
304
+ {
305
+ "epoch": 5.447470817120623,
306
+ "eval_loss": 0.2625938951969147,
307
+ "eval_runtime": 74.8495,
308
+ "eval_samples_per_second": 3.059,
309
+ "eval_steps_per_second": 1.536,
310
+ "step": 350
311
+ },
312
+ {
313
+ "epoch": 5.622568093385214,
314
+ "grad_norm": 0.8807490468025208,
315
+ "learning_rate": 1.6966304849517184e-06,
316
+ "loss": 0.1272,
317
+ "step": 360
318
+ },
319
+ {
320
+ "epoch": 5.778210116731517,
321
+ "grad_norm": 1.1307696104049683,
322
+ "learning_rate": 1.3442741909454295e-06,
323
+ "loss": 0.1251,
324
+ "step": 370
325
+ },
326
+ {
327
+ "epoch": 5.933852140077821,
328
+ "grad_norm": 0.9986845254898071,
329
+ "learning_rate": 1.0293073381696139e-06,
330
+ "loss": 0.1363,
331
+ "step": 380
332
+ },
333
+ {
334
+ "epoch": 6.089494163424124,
335
+ "grad_norm": 0.9564828872680664,
336
+ "learning_rate": 7.536430129112046e-07,
337
+ "loss": 0.1134,
338
+ "step": 390
339
+ },
340
+ {
341
+ "epoch": 6.245136186770428,
342
+ "grad_norm": 1.1241580247879028,
343
+ "learning_rate": 5.189555806972418e-07,
344
+ "loss": 0.126,
345
+ "step": 400
346
+ },
347
+ {
348
+ "epoch": 6.245136186770428,
349
+ "eval_loss": 0.26281753182411194,
350
+ "eval_runtime": 56.6473,
351
+ "eval_samples_per_second": 4.043,
352
+ "eval_steps_per_second": 2.03,
353
+ "step": 400
354
+ },
355
+ {
356
+ "epoch": 6.400778210116732,
357
+ "grad_norm": 0.9418431520462036,
358
+ "learning_rate": 3.2667051631761646e-07,
359
+ "loss": 0.1105,
360
+ "step": 410
361
+ },
362
+ {
363
+ "epoch": 6.556420233463035,
364
+ "grad_norm": 1.0631940364837646,
365
+ "learning_rate": 1.779557455924727e-07,
366
+ "loss": 0.1181,
367
+ "step": 420
368
+ },
369
+ {
370
+ "epoch": 6.712062256809339,
371
+ "grad_norm": 0.9558112621307373,
372
+ "learning_rate": 7.371455147375083e-08,
373
+ "loss": 0.1242,
374
+ "step": 430
375
+ },
376
+ {
377
+ "epoch": 6.8677042801556425,
378
+ "grad_norm": 1.0051051378250122,
379
+ "learning_rate": 1.4580087568707711e-08,
380
+ "loss": 0.1108,
381
+ "step": 440
382
+ }
383
+ ],
384
+ "logging_steps": 10,
385
+ "max_steps": 448,
386
+ "num_input_tokens_seen": 0,
387
+ "num_train_epochs": 7,
388
+ "save_steps": 50,
389
+ "stateful_callbacks": {
390
+ "TrainerControl": {
391
+ "args": {
392
+ "should_epoch_stop": false,
393
+ "should_evaluate": false,
394
+ "should_log": false,
395
+ "should_save": true,
396
+ "should_training_stop": true
397
+ },
398
+ "attributes": {}
399
+ }
400
+ },
401
+ "total_flos": 4.3438733670450463e+18,
402
+ "train_batch_size": 2,
403
+ "trial_name": null,
404
+ "trial_params": null
405
+ }
checkpoint-448/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:95947e61bc3a29afc705d70b3db38a42bb60fbde9b935bca76c74750a33adbfb
3
+ size 5368
checkpoint-448/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.992217898832685,
3
+ "eval_loss": 0.2651423215866089,
4
+ "eval_runtime": 56.5548,
5
+ "eval_samples_per_second": 4.049,
6
+ "eval_steps_per_second": 2.033
7
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,208 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "chat_template": "{% set system_message = 'You are a helpful assistant.' %}{% 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\n' + system_message + '<|im_end|>\n' }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|im_start|>user\n' + content + '<|im_end|>\n<|im_start|>assistant\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|im_end|>' + '\n' }}{% endif %}{% endfor %}",
199
+ "clean_up_tokenization_spaces": false,
200
+ "eos_token": "<|im_end|>",
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 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.992217898832685,
3
+ "total_flos": 4.3438733670450463e+18,
4
+ "train_loss": 0.026487351528235843,
5
+ "train_runtime": 2695.376,
6
+ "train_samples_per_second": 5.332,
7
+ "train_steps_per_second": 0.166
8
+ }