VectorZhao commited on
Commit
2b5c16a
·
1 Parent(s): 954b84f
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/README.md +202 -0
  2. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/adapter_config.json +26 -0
  3. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/adapter_model.safetensors +3 -0
  4. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/additional_config.json +1 -0
  5. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/configuration.json +11 -0
  6. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/generation_config.json +7 -0
  7. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/optimizer.pt +3 -0
  8. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/rng_state.pth +3 -0
  9. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/scheduler.pt +3 -0
  10. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/sft_args.json +246 -0
  11. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/trainer_state.json +261 -0
  12. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/training_args.bin +3 -0
  13. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/README.md +202 -0
  14. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/adapter_config.json +26 -0
  15. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/adapter_model.safetensors +3 -0
  16. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/additional_config.json +1 -0
  17. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/configuration.json +11 -0
  18. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/generation_config.json +7 -0
  19. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/optimizer.pt +3 -0
  20. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/rng_state.pth +3 -0
  21. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/scheduler.pt +3 -0
  22. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/sft_args.json +246 -0
  23. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/trainer_state.json +2223 -0
  24. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/training_args.bin +3 -0
  25. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/README.md +202 -0
  26. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/adapter_config.json +26 -0
  27. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/adapter_model.safetensors +3 -0
  28. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/additional_config.json +1 -0
  29. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/configuration.json +11 -0
  30. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/generation_config.json +7 -0
  31. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/optimizer.pt +3 -0
  32. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/rng_state.pth +3 -0
  33. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/scheduler.pt +3 -0
  34. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/sft_args.json +246 -0
  35. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/trainer_state.json +370 -0
  36. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/training_args.bin +3 -0
  37. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/README.md +202 -0
  38. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/adapter_config.json +26 -0
  39. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/adapter_model.safetensors +3 -0
  40. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/additional_config.json +1 -0
  41. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/configuration.json +11 -0
  42. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/generation_config.json +7 -0
  43. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/optimizer.pt +3 -0
  44. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/rng_state.pth +3 -0
  45. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/scheduler.pt +3 -0
  46. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/sft_args.json +246 -0
  47. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/trainer_state.json +479 -0
  48. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/training_args.bin +3 -0
  49. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-250/README.md +202 -0
  50. phi3_5-vision-instruct/v6-20241130-010713/checkpoint-250/adapter_config.json +26 -0
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: /home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-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
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/adapter_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "/home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-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": 32,
14
+ "lora_dropout": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": [],
18
+ "peft_type": "LORA",
19
+ "r": 8,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": "^(model.layers|model.vision_embed_tokens.img_projection)(?!.*(lm_head|output|emb|wte|shared)).*",
23
+ "task_type": "CAUSAL_LM",
24
+ "use_dora": false,
25
+ "use_rslora": false
26
+ }
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d5483b93231491dcdadb5963ea78a69366e0ab6aa03183648b5e5e587b20398e
3
+ size 50792328
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/additional_config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"lora_dtype": null, "lorap_lr_ratio": null, "lorap_emb_lr": 1e-06}
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/configuration.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "adapter_cfg": {
3
+ "model_id_or_path": "/home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-instruct",
4
+ "model_revision": "main",
5
+ "sft_type": "lora",
6
+ "tuner_backend": "peft",
7
+ "template_type": "phi3-vl",
8
+ "dtype": "bf16",
9
+ "system": null
10
+ }
11
+ }
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/generation_config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 1,
3
+ "eos_token_id": 32000,
4
+ "max_new_tokens": 2048,
5
+ "pad_token_id": 32000,
6
+ "transformers_version": "4.46.3"
7
+ }
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:09ec37f8a196a72a97ca9967df7a30c712b3483c36593a578a3c2f921f48fb93
3
+ size 100878458
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5f0ebda40a3924e216542bcb94795169a0eced7e9d1672dd24ea3dc5bd826259
3
+ size 14244
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c1a5a353aa956358db56e4e8110f1cf929e76f1178ff0441174be62305b48b0e
3
+ size 1064
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/sft_args.json ADDED
@@ -0,0 +1,246 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "model_type": "phi3_5-vision-instruct",
3
+ "model_id_or_path": "/home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-instruct",
4
+ "model_revision": "main",
5
+ "full_determinism": false,
6
+ "sft_type": "lora",
7
+ "freeze_parameters": [],
8
+ "freeze_vit": false,
9
+ "freeze_parameters_ratio": 0.0,
10
+ "additional_trainable_parameters": [],
11
+ "tuner_backend": "peft",
12
+ "template_type": "phi3-vl",
13
+ "output_dir": "/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713",
14
+ "add_output_dir_suffix": true,
15
+ "ddp_backend": null,
16
+ "ddp_find_unused_parameters": null,
17
+ "ddp_broadcast_buffers": null,
18
+ "ddp_timeout": 1800,
19
+ "seed": 42,
20
+ "resume_from_checkpoint": null,
21
+ "resume_only_model": false,
22
+ "ignore_data_skip": false,
23
+ "dtype": "bf16",
24
+ "packing": false,
25
+ "train_backend": "transformers",
26
+ "tp": 1,
27
+ "pp": 1,
28
+ "min_lr": null,
29
+ "sequence_parallel": false,
30
+ "model_kwargs": {},
31
+ "loss_name": null,
32
+ "dataset": [
33
+ "llamafactory/OpenO1-SFT"
34
+ ],
35
+ "val_dataset": [],
36
+ "dataset_seed": 42,
37
+ "dataset_test_ratio": 0.01,
38
+ "use_loss_scale": false,
39
+ "loss_scale_config_path": "/home/pzcmoe/home/zhc/llama/swift/swift/llm/agent/default_loss_scale_config.json",
40
+ "system": null,
41
+ "tools_prompt": "react_en",
42
+ "max_length": 2048,
43
+ "truncation_strategy": "delete",
44
+ "check_dataset_strategy": "none",
45
+ "streaming": false,
46
+ "streaming_val_size": 0,
47
+ "streaming_buffer_size": 16384,
48
+ "model_name": [
49
+ null,
50
+ null
51
+ ],
52
+ "model_author": [
53
+ null,
54
+ null
55
+ ],
56
+ "quant_method": null,
57
+ "quantization_bit": 0,
58
+ "hqq_axis": 0,
59
+ "hqq_dynamic_config_path": null,
60
+ "bnb_4bit_comp_dtype": "bf16",
61
+ "bnb_4bit_quant_type": "nf4",
62
+ "bnb_4bit_use_double_quant": true,
63
+ "bnb_4bit_quant_storage": null,
64
+ "rescale_image": -1,
65
+ "target_modules": "^(model.layers|model.vision_embed_tokens.img_projection)(?!.*(lm_head|output|emb|wte|shared)).*",
66
+ "target_regex": null,
67
+ "modules_to_save": [],
68
+ "lora_rank": 8,
69
+ "lora_alpha": 32,
70
+ "lora_dropout": 0.05,
71
+ "lora_bias_trainable": "none",
72
+ "lora_dtype": null,
73
+ "lora_lr_ratio": null,
74
+ "use_rslora": false,
75
+ "use_dora": false,
76
+ "init_lora_weights": true,
77
+ "fourier_n_frequency": 2000,
78
+ "fourier_scaling": 300.0,
79
+ "rope_scaling": null,
80
+ "boft_block_size": 4,
81
+ "boft_block_num": 0,
82
+ "boft_n_butterfly_factor": 1,
83
+ "boft_dropout": 0.0,
84
+ "vera_rank": 256,
85
+ "vera_projection_prng_key": 0,
86
+ "vera_dropout": 0.0,
87
+ "vera_d_initial": 0.1,
88
+ "adapter_act": "gelu",
89
+ "adapter_length": 128,
90
+ "use_galore": false,
91
+ "galore_target_modules": null,
92
+ "galore_rank": 128,
93
+ "galore_update_proj_gap": 50,
94
+ "galore_scale": 1.0,
95
+ "galore_proj_type": "std",
96
+ "galore_optim_per_parameter": false,
97
+ "galore_with_embedding": false,
98
+ "galore_quantization": false,
99
+ "galore_proj_quant": false,
100
+ "galore_proj_bits": 4,
101
+ "galore_proj_group_size": 256,
102
+ "galore_cos_threshold": 0.4,
103
+ "galore_gamma_proj": 2,
104
+ "galore_queue_size": 5,
105
+ "adalora_target_r": 8,
106
+ "adalora_init_r": 12,
107
+ "adalora_tinit": 0,
108
+ "adalora_tfinal": 0,
109
+ "adalora_deltaT": 1,
110
+ "adalora_beta1": 0.85,
111
+ "adalora_beta2": 0.85,
112
+ "adalora_orth_reg_weight": 0.5,
113
+ "ia3_feedforward_modules": [],
114
+ "llamapro_num_new_blocks": 4,
115
+ "llamapro_num_groups": null,
116
+ "neftune_noise_alpha": null,
117
+ "neftune_backend": "transformers",
118
+ "lisa_activated_layers": 0,
119
+ "lisa_step_interval": 20,
120
+ "reft_layer_key": null,
121
+ "reft_layers": null,
122
+ "reft_rank": 4,
123
+ "reft_intervention_type": "LoreftIntervention",
124
+ "reft_args": null,
125
+ "use_liger": false,
126
+ "gradient_checkpointing": true,
127
+ "vit_use_gc": true,
128
+ "deepspeed": null,
129
+ "batch_size": 1,
130
+ "eval_batch_size": 1,
131
+ "auto_find_batch_size": false,
132
+ "num_train_epochs": 1,
133
+ "max_steps": 1000,
134
+ "optim": "adamw_torch",
135
+ "adam_beta1": 0.9,
136
+ "adam_beta2": 0.95,
137
+ "adam_epsilon": 1e-08,
138
+ "learning_rate": 0.0001,
139
+ "weight_decay": 0.1,
140
+ "gradient_accumulation_steps": 16,
141
+ "max_grad_norm": 1,
142
+ "predict_with_generate": false,
143
+ "lr_scheduler_type": "cosine",
144
+ "lr_scheduler_kwargs": {},
145
+ "warmup_ratio": 0.05,
146
+ "warmup_steps": 0,
147
+ "eval_steps": 50,
148
+ "save_steps": 50,
149
+ "save_only_model": false,
150
+ "save_total_limit": null,
151
+ "logging_steps": 5,
152
+ "acc_steps": 1,
153
+ "dataloader_num_workers": 1,
154
+ "dataloader_pin_memory": true,
155
+ "dataloader_drop_last": false,
156
+ "push_to_hub": false,
157
+ "hub_model_id": null,
158
+ "hub_token": null,
159
+ "hub_private_repo": false,
160
+ "hub_strategy": "every_save",
161
+ "test_oom_error": false,
162
+ "disable_tqdm": false,
163
+ "lazy_tokenize": true,
164
+ "preprocess_num_proc": 1,
165
+ "use_flash_attn": null,
166
+ "ignore_args_error": false,
167
+ "check_model_is_latest": true,
168
+ "logging_dir": "/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713/runs",
169
+ "report_to": [
170
+ "tensorboard"
171
+ ],
172
+ "acc_strategy": "token",
173
+ "save_on_each_node": false,
174
+ "evaluation_strategy": "steps",
175
+ "save_strategy": "steps",
176
+ "save_safetensors": true,
177
+ "gpu_memory_fraction": null,
178
+ "include_num_input_tokens_seen": false,
179
+ "local_repo_path": null,
180
+ "custom_register_path": null,
181
+ "custom_dataset_info": null,
182
+ "device_map_config": null,
183
+ "device_max_memory": [],
184
+ "max_new_tokens": 2048,
185
+ "do_sample": null,
186
+ "temperature": null,
187
+ "top_k": null,
188
+ "top_p": null,
189
+ "repetition_penalty": null,
190
+ "num_beams": 1,
191
+ "fsdp": "",
192
+ "fsdp_config": null,
193
+ "sequence_parallel_size": 1,
194
+ "model_layer_cls_name": null,
195
+ "metric_warmup_step": 0,
196
+ "fsdp_num": 1,
197
+ "per_device_train_batch_size": null,
198
+ "per_device_eval_batch_size": null,
199
+ "eval_strategy": null,
200
+ "self_cognition_sample": 0,
201
+ "train_dataset_mix_ratio": 0.0,
202
+ "train_dataset_mix_ds": [
203
+ "ms-bench"
204
+ ],
205
+ "train_dataset_sample": -1,
206
+ "val_dataset_sample": null,
207
+ "safe_serialization": null,
208
+ "only_save_model": null,
209
+ "neftune_alpha": null,
210
+ "deepspeed_config_path": null,
211
+ "model_cache_dir": null,
212
+ "lora_dropout_p": null,
213
+ "lora_target_modules": [],
214
+ "lora_target_regex": null,
215
+ "lora_modules_to_save": [],
216
+ "boft_target_modules": [],
217
+ "boft_modules_to_save": [],
218
+ "vera_target_modules": [],
219
+ "vera_modules_to_save": [],
220
+ "ia3_target_modules": [],
221
+ "ia3_modules_to_save": [],
222
+ "custom_train_dataset_path": [],
223
+ "custom_val_dataset_path": [],
224
+ "device_map_config_path": null,
225
+ "push_hub_strategy": null,
226
+ "use_self_cognition": false,
227
+ "is_multimodal": true,
228
+ "is_vision": true,
229
+ "lora_use_embedding": false,
230
+ "lora_use_all": false,
231
+ "lora_m2s_use_embedding": false,
232
+ "lora_m2s_use_ln": false,
233
+ "torch_dtype": "torch.bfloat16",
234
+ "fp16": false,
235
+ "bf16": true,
236
+ "rank": -1,
237
+ "local_rank": -1,
238
+ "world_size": 1,
239
+ "local_world_size": 1,
240
+ "bnb_4bit_compute_dtype": "torch.bfloat16",
241
+ "load_in_4bit": false,
242
+ "load_in_8bit": false,
243
+ "train_sampler_random": true,
244
+ "train_type": "sft",
245
+ "training_args": "Seq2SeqTrainingArguments(output_dir='/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713', overwrite_output_dir=False, do_train=False, do_eval=True, do_predict=False, eval_strategy=<IntervalStrategy.STEPS: 'steps'>, prediction_loss_only=False, per_device_train_batch_size=1, per_device_eval_batch_size=1, per_gpu_train_batch_size=None, per_gpu_eval_batch_size=None, gradient_accumulation_steps=16, eval_accumulation_steps=None, eval_delay=0, torch_empty_cache_steps=None, learning_rate=0.0001, weight_decay=0.1, adam_beta1=0.9, adam_beta2=0.95, adam_epsilon=1e-08, max_grad_norm=1, num_train_epochs=1, max_steps=1000, lr_scheduler_type=<SchedulerType.COSINE: 'cosine'>, lr_scheduler_kwargs={}, warmup_ratio=0.05, warmup_steps=0, log_level='passive', log_level_replica='warning', log_on_each_node=True, logging_dir='/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713/runs', logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_first_step=True, logging_steps=5, logging_nan_inf_filter=True, save_strategy=<IntervalStrategy.STEPS: 'steps'>, save_steps=50, save_total_limit=None, save_safetensors=True, save_on_each_node=False, save_only_model=False, restore_callback_states_from_checkpoint=False, no_cuda=False, use_cpu=False, use_mps_device=False, seed=42, data_seed=42, jit_mode_eval=False, use_ipex=False, bf16=True, fp16=False, fp16_opt_level='O1', half_precision_backend='auto', bf16_full_eval=False, fp16_full_eval=False, tf32=None, local_rank=0, ddp_backend=None, tpu_num_cores=None, tpu_metrics_debug=False, debug=[], dataloader_drop_last=False, eval_steps=50, dataloader_num_workers=1, dataloader_prefetch_factor=None, past_index=-1, run_name='/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713', disable_tqdm=False, remove_unused_columns=False, label_names=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, fsdp=[], fsdp_min_num_params=0, fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, fsdp_transformer_layer_cls_to_wrap=None, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), deepspeed=None, label_smoothing_factor=0.0, optim=<OptimizerNames.ADAMW_TORCH: 'adamw_torch'>, optim_args=None, adafactor=False, group_by_length=False, length_column_name='length', report_to=['tensorboard'], ddp_find_unused_parameters=None, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, dataloader_pin_memory=True, dataloader_persistent_workers=False, skip_memory_metrics=True, use_legacy_prediction_loop=False, push_to_hub=False, resume_from_checkpoint=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_token=None, hub_private_repo=False, hub_always_push=False, gradient_checkpointing=True, gradient_checkpointing_kwargs=None, include_inputs_for_metrics=False, include_for_metrics=[], eval_do_concat_batches=True, fp16_backend='auto', evaluation_strategy=None, push_to_hub_model_id=None, push_to_hub_organization=None, push_to_hub_token=None, mp_parameters='', auto_find_batch_size=False, full_determinism=False, torchdynamo=None, ray_scope='last', ddp_timeout=1800, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, dispatch_batches=None, split_batches=None, include_tokens_per_second=False, include_num_input_tokens_seen=False, neftune_noise_alpha=None, optim_target_modules=None, batch_eval_metrics=False, eval_on_start=False, use_liger_kernel=False, eval_use_gather_object=False, average_tokens_across_devices=False, sortish_sampler=False, predict_with_generate=False, generation_max_length=None, generation_num_beams=None, generation_config=GenerationConfig {\n \"bos_token_id\": 1,\n \"eos_token_id\": 32000,\n \"max_new_tokens\": 2048,\n \"pad_token_id\": 32000\n}\n, acc_strategy='token', loss_name=None, additional_saved_files=[], train_sampler_random=True, metric_warmup_step=0, train_dataset_sample=-1)"
246
+ }
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/trainer_state.json ADDED
@@ -0,0 +1,261 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.64535284,
3
+ "best_model_checkpoint": "/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100",
4
+ "epoch": 0.012837382457716871,
5
+ "eval_steps": 50,
6
+ "global_step": 100,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "acc": 0.77952504,
13
+ "epoch": 0.0001283738245771687,
14
+ "grad_norm": 0.15511861443519592,
15
+ "learning_rate": 2.0000000000000003e-06,
16
+ "loss": 0.82634771,
17
+ "memory(GiB)": 11.42,
18
+ "step": 1,
19
+ "train_speed(iter/s)": 0.092016
20
+ },
21
+ {
22
+ "acc": 0.77674872,
23
+ "epoch": 0.0006418691228858435,
24
+ "grad_norm": 0.14591480791568756,
25
+ "learning_rate": 1e-05,
26
+ "loss": 0.8159712,
27
+ "memory(GiB)": 12.15,
28
+ "step": 5,
29
+ "train_speed(iter/s)": 0.10552
30
+ },
31
+ {
32
+ "acc": 0.77379012,
33
+ "epoch": 0.001283738245771687,
34
+ "grad_norm": 0.151850163936615,
35
+ "learning_rate": 2e-05,
36
+ "loss": 0.8015564,
37
+ "memory(GiB)": 12.15,
38
+ "step": 10,
39
+ "train_speed(iter/s)": 0.107013
40
+ },
41
+ {
42
+ "acc": 0.7784133,
43
+ "epoch": 0.0019256073686575307,
44
+ "grad_norm": 0.15997682511806488,
45
+ "learning_rate": 3e-05,
46
+ "loss": 0.79284344,
47
+ "memory(GiB)": 12.15,
48
+ "step": 15,
49
+ "train_speed(iter/s)": 0.110995
50
+ },
51
+ {
52
+ "acc": 0.7815052,
53
+ "epoch": 0.002567476491543374,
54
+ "grad_norm": 0.14427673816680908,
55
+ "learning_rate": 4e-05,
56
+ "loss": 0.78122258,
57
+ "memory(GiB)": 12.9,
58
+ "step": 20,
59
+ "train_speed(iter/s)": 0.111462
60
+ },
61
+ {
62
+ "acc": 0.7915082,
63
+ "epoch": 0.0032093456144292177,
64
+ "grad_norm": 0.1590222716331482,
65
+ "learning_rate": 5e-05,
66
+ "loss": 0.7404335,
67
+ "memory(GiB)": 12.9,
68
+ "step": 25,
69
+ "train_speed(iter/s)": 0.112268
70
+ },
71
+ {
72
+ "acc": 0.80291214,
73
+ "epoch": 0.0038512147373150614,
74
+ "grad_norm": 0.13638992607593536,
75
+ "learning_rate": 6e-05,
76
+ "loss": 0.68063788,
77
+ "memory(GiB)": 12.9,
78
+ "step": 30,
79
+ "train_speed(iter/s)": 0.111517
80
+ },
81
+ {
82
+ "acc": 0.79923964,
83
+ "epoch": 0.0044930838602009054,
84
+ "grad_norm": 0.1271245777606964,
85
+ "learning_rate": 7e-05,
86
+ "loss": 0.68800621,
87
+ "memory(GiB)": 12.9,
88
+ "step": 35,
89
+ "train_speed(iter/s)": 0.110574
90
+ },
91
+ {
92
+ "acc": 0.80240812,
93
+ "epoch": 0.005134952983086748,
94
+ "grad_norm": 0.11937133222818375,
95
+ "learning_rate": 8e-05,
96
+ "loss": 0.69939818,
97
+ "memory(GiB)": 12.9,
98
+ "step": 40,
99
+ "train_speed(iter/s)": 0.109469
100
+ },
101
+ {
102
+ "acc": 0.78317132,
103
+ "epoch": 0.005776822105972592,
104
+ "grad_norm": 0.1665358543395996,
105
+ "learning_rate": 9e-05,
106
+ "loss": 0.75735736,
107
+ "memory(GiB)": 12.9,
108
+ "step": 45,
109
+ "train_speed(iter/s)": 0.108968
110
+ },
111
+ {
112
+ "acc": 0.80379133,
113
+ "epoch": 0.0064186912288584355,
114
+ "grad_norm": 0.14883440732955933,
115
+ "learning_rate": 0.0001,
116
+ "loss": 0.6824338,
117
+ "memory(GiB)": 12.9,
118
+ "step": 50,
119
+ "train_speed(iter/s)": 0.109163
120
+ },
121
+ {
122
+ "epoch": 0.0064186912288584355,
123
+ "eval_acc": 0.8081346555994846,
124
+ "eval_loss": 0.6729312539100647,
125
+ "eval_runtime": 195.4613,
126
+ "eval_samples_per_second": 6.436,
127
+ "eval_steps_per_second": 6.436,
128
+ "step": 50
129
+ },
130
+ {
131
+ "acc": 0.7984889,
132
+ "epoch": 0.007060560351744279,
133
+ "grad_norm": 0.16687534749507904,
134
+ "learning_rate": 9.999316524962345e-05,
135
+ "loss": 0.7141089,
136
+ "memory(GiB)": 12.9,
137
+ "step": 55,
138
+ "train_speed(iter/s)": 0.078646
139
+ },
140
+ {
141
+ "acc": 0.79216175,
142
+ "epoch": 0.007702429474630123,
143
+ "grad_norm": 0.17546051740646362,
144
+ "learning_rate": 9.997266286704631e-05,
145
+ "loss": 0.72419305,
146
+ "memory(GiB)": 12.9,
147
+ "step": 60,
148
+ "train_speed(iter/s)": 0.080466
149
+ },
150
+ {
151
+ "acc": 0.80358973,
152
+ "epoch": 0.008344298597515967,
153
+ "grad_norm": 0.16079305112361908,
154
+ "learning_rate": 9.993849845741524e-05,
155
+ "loss": 0.67717872,
156
+ "memory(GiB)": 12.9,
157
+ "step": 65,
158
+ "train_speed(iter/s)": 0.082252
159
+ },
160
+ {
161
+ "acc": 0.80615339,
162
+ "epoch": 0.008986167720401811,
163
+ "grad_norm": 0.1396234929561615,
164
+ "learning_rate": 9.989068136093873e-05,
165
+ "loss": 0.70638905,
166
+ "memory(GiB)": 12.9,
167
+ "step": 70,
168
+ "train_speed(iter/s)": 0.084
169
+ },
170
+ {
171
+ "acc": 0.79676814,
172
+ "epoch": 0.009628036843287653,
173
+ "grad_norm": 0.1340462565422058,
174
+ "learning_rate": 9.98292246503335e-05,
175
+ "loss": 0.71420946,
176
+ "memory(GiB)": 12.9,
177
+ "step": 75,
178
+ "train_speed(iter/s)": 0.08542
179
+ },
180
+ {
181
+ "acc": 0.79325166,
182
+ "epoch": 0.010269905966173496,
183
+ "grad_norm": 0.13259001076221466,
184
+ "learning_rate": 9.975414512725057e-05,
185
+ "loss": 0.71777782,
186
+ "memory(GiB)": 12.9,
187
+ "step": 80,
188
+ "train_speed(iter/s)": 0.086655
189
+ },
190
+ {
191
+ "acc": 0.81705523,
192
+ "epoch": 0.01091177508905934,
193
+ "grad_norm": 0.15833652019500732,
194
+ "learning_rate": 9.966546331768191e-05,
195
+ "loss": 0.62526927,
196
+ "memory(GiB)": 12.9,
197
+ "step": 85,
198
+ "train_speed(iter/s)": 0.088014
199
+ },
200
+ {
201
+ "acc": 0.80851898,
202
+ "epoch": 0.011553644211945184,
203
+ "grad_norm": 0.1456330418586731,
204
+ "learning_rate": 9.956320346634876e-05,
205
+ "loss": 0.68010745,
206
+ "memory(GiB)": 12.9,
207
+ "step": 90,
208
+ "train_speed(iter/s)": 0.088941
209
+ },
210
+ {
211
+ "acc": 0.81903477,
212
+ "epoch": 0.012195513334831027,
213
+ "grad_norm": 0.14285945892333984,
214
+ "learning_rate": 9.944739353007344e-05,
215
+ "loss": 0.6090106,
216
+ "memory(GiB)": 12.9,
217
+ "step": 95,
218
+ "train_speed(iter/s)": 0.089902
219
+ },
220
+ {
221
+ "acc": 0.82483721,
222
+ "epoch": 0.012837382457716871,
223
+ "grad_norm": 0.1478744000196457,
224
+ "learning_rate": 9.931806517013612e-05,
225
+ "loss": 0.59807158,
226
+ "memory(GiB)": 12.9,
227
+ "step": 100,
228
+ "train_speed(iter/s)": 0.090663
229
+ },
230
+ {
231
+ "epoch": 0.012837382457716871,
232
+ "eval_acc": 0.813768508772143,
233
+ "eval_loss": 0.645352840423584,
234
+ "eval_runtime": 195.755,
235
+ "eval_samples_per_second": 6.426,
236
+ "eval_steps_per_second": 6.426,
237
+ "step": 100
238
+ }
239
+ ],
240
+ "logging_steps": 5,
241
+ "max_steps": 1000,
242
+ "num_input_tokens_seen": 0,
243
+ "num_train_epochs": 1,
244
+ "save_steps": 50,
245
+ "stateful_callbacks": {
246
+ "TrainerControl": {
247
+ "args": {
248
+ "should_epoch_stop": false,
249
+ "should_evaluate": false,
250
+ "should_log": false,
251
+ "should_save": true,
252
+ "should_training_stop": false
253
+ },
254
+ "attributes": {}
255
+ }
256
+ },
257
+ "total_flos": 3.887966208382157e+16,
258
+ "train_batch_size": 1,
259
+ "trial_name": null,
260
+ "trial_params": null
261
+ }
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-100/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f5ca841f7bd4a855ee575421abc61a664c4a5bac12d5a654d3adfe5e4f1cc45d
3
+ size 7480
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: /home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-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
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/adapter_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "/home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-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": 32,
14
+ "lora_dropout": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": [],
18
+ "peft_type": "LORA",
19
+ "r": 8,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": "^(model.layers|model.vision_embed_tokens.img_projection)(?!.*(lm_head|output|emb|wte|shared)).*",
23
+ "task_type": "CAUSAL_LM",
24
+ "use_dora": false,
25
+ "use_rslora": false
26
+ }
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:02b047ba6ad4ac3fc6b0980080d4d3c0cf69641417e5b7ac54d06a2e96ba9eea
3
+ size 50792328
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/additional_config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"lora_dtype": null, "lorap_lr_ratio": null, "lorap_emb_lr": 1e-06}
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/configuration.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "adapter_cfg": {
3
+ "model_id_or_path": "/home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-instruct",
4
+ "model_revision": "main",
5
+ "sft_type": "lora",
6
+ "tuner_backend": "peft",
7
+ "template_type": "phi3-vl",
8
+ "dtype": "bf16",
9
+ "system": null
10
+ }
11
+ }
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/generation_config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 1,
3
+ "eos_token_id": 32000,
4
+ "max_new_tokens": 2048,
5
+ "pad_token_id": 32000,
6
+ "transformers_version": "4.46.3"
7
+ }
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0d13564f1b33e65744b4ae00df396b38868578d8aedd49db3aac4d78b0697067
3
+ size 100878458
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2b78ad66f92e3ca930b0c6b16fe26286bf9120471a4b51538be0d69091971a43
3
+ size 14244
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4077036d99500a708f700f75da24d51b5300e184ad35fda49dc5a4df5596cca2
3
+ size 1064
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/sft_args.json ADDED
@@ -0,0 +1,246 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "model_type": "phi3_5-vision-instruct",
3
+ "model_id_or_path": "/home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-instruct",
4
+ "model_revision": "main",
5
+ "full_determinism": false,
6
+ "sft_type": "lora",
7
+ "freeze_parameters": [],
8
+ "freeze_vit": false,
9
+ "freeze_parameters_ratio": 0.0,
10
+ "additional_trainable_parameters": [],
11
+ "tuner_backend": "peft",
12
+ "template_type": "phi3-vl",
13
+ "output_dir": "/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713",
14
+ "add_output_dir_suffix": true,
15
+ "ddp_backend": null,
16
+ "ddp_find_unused_parameters": null,
17
+ "ddp_broadcast_buffers": null,
18
+ "ddp_timeout": 1800,
19
+ "seed": 42,
20
+ "resume_from_checkpoint": null,
21
+ "resume_only_model": false,
22
+ "ignore_data_skip": false,
23
+ "dtype": "bf16",
24
+ "packing": false,
25
+ "train_backend": "transformers",
26
+ "tp": 1,
27
+ "pp": 1,
28
+ "min_lr": null,
29
+ "sequence_parallel": false,
30
+ "model_kwargs": {},
31
+ "loss_name": null,
32
+ "dataset": [
33
+ "llamafactory/OpenO1-SFT"
34
+ ],
35
+ "val_dataset": [],
36
+ "dataset_seed": 42,
37
+ "dataset_test_ratio": 0.01,
38
+ "use_loss_scale": false,
39
+ "loss_scale_config_path": "/home/pzcmoe/home/zhc/llama/swift/swift/llm/agent/default_loss_scale_config.json",
40
+ "system": null,
41
+ "tools_prompt": "react_en",
42
+ "max_length": 2048,
43
+ "truncation_strategy": "delete",
44
+ "check_dataset_strategy": "none",
45
+ "streaming": false,
46
+ "streaming_val_size": 0,
47
+ "streaming_buffer_size": 16384,
48
+ "model_name": [
49
+ null,
50
+ null
51
+ ],
52
+ "model_author": [
53
+ null,
54
+ null
55
+ ],
56
+ "quant_method": null,
57
+ "quantization_bit": 0,
58
+ "hqq_axis": 0,
59
+ "hqq_dynamic_config_path": null,
60
+ "bnb_4bit_comp_dtype": "bf16",
61
+ "bnb_4bit_quant_type": "nf4",
62
+ "bnb_4bit_use_double_quant": true,
63
+ "bnb_4bit_quant_storage": null,
64
+ "rescale_image": -1,
65
+ "target_modules": "^(model.layers|model.vision_embed_tokens.img_projection)(?!.*(lm_head|output|emb|wte|shared)).*",
66
+ "target_regex": null,
67
+ "modules_to_save": [],
68
+ "lora_rank": 8,
69
+ "lora_alpha": 32,
70
+ "lora_dropout": 0.05,
71
+ "lora_bias_trainable": "none",
72
+ "lora_dtype": null,
73
+ "lora_lr_ratio": null,
74
+ "use_rslora": false,
75
+ "use_dora": false,
76
+ "init_lora_weights": true,
77
+ "fourier_n_frequency": 2000,
78
+ "fourier_scaling": 300.0,
79
+ "rope_scaling": null,
80
+ "boft_block_size": 4,
81
+ "boft_block_num": 0,
82
+ "boft_n_butterfly_factor": 1,
83
+ "boft_dropout": 0.0,
84
+ "vera_rank": 256,
85
+ "vera_projection_prng_key": 0,
86
+ "vera_dropout": 0.0,
87
+ "vera_d_initial": 0.1,
88
+ "adapter_act": "gelu",
89
+ "adapter_length": 128,
90
+ "use_galore": false,
91
+ "galore_target_modules": null,
92
+ "galore_rank": 128,
93
+ "galore_update_proj_gap": 50,
94
+ "galore_scale": 1.0,
95
+ "galore_proj_type": "std",
96
+ "galore_optim_per_parameter": false,
97
+ "galore_with_embedding": false,
98
+ "galore_quantization": false,
99
+ "galore_proj_quant": false,
100
+ "galore_proj_bits": 4,
101
+ "galore_proj_group_size": 256,
102
+ "galore_cos_threshold": 0.4,
103
+ "galore_gamma_proj": 2,
104
+ "galore_queue_size": 5,
105
+ "adalora_target_r": 8,
106
+ "adalora_init_r": 12,
107
+ "adalora_tinit": 0,
108
+ "adalora_tfinal": 0,
109
+ "adalora_deltaT": 1,
110
+ "adalora_beta1": 0.85,
111
+ "adalora_beta2": 0.85,
112
+ "adalora_orth_reg_weight": 0.5,
113
+ "ia3_feedforward_modules": [],
114
+ "llamapro_num_new_blocks": 4,
115
+ "llamapro_num_groups": null,
116
+ "neftune_noise_alpha": null,
117
+ "neftune_backend": "transformers",
118
+ "lisa_activated_layers": 0,
119
+ "lisa_step_interval": 20,
120
+ "reft_layer_key": null,
121
+ "reft_layers": null,
122
+ "reft_rank": 4,
123
+ "reft_intervention_type": "LoreftIntervention",
124
+ "reft_args": null,
125
+ "use_liger": false,
126
+ "gradient_checkpointing": true,
127
+ "vit_use_gc": true,
128
+ "deepspeed": null,
129
+ "batch_size": 1,
130
+ "eval_batch_size": 1,
131
+ "auto_find_batch_size": false,
132
+ "num_train_epochs": 1,
133
+ "max_steps": 1000,
134
+ "optim": "adamw_torch",
135
+ "adam_beta1": 0.9,
136
+ "adam_beta2": 0.95,
137
+ "adam_epsilon": 1e-08,
138
+ "learning_rate": 0.0001,
139
+ "weight_decay": 0.1,
140
+ "gradient_accumulation_steps": 16,
141
+ "max_grad_norm": 1,
142
+ "predict_with_generate": false,
143
+ "lr_scheduler_type": "cosine",
144
+ "lr_scheduler_kwargs": {},
145
+ "warmup_ratio": 0.05,
146
+ "warmup_steps": 0,
147
+ "eval_steps": 50,
148
+ "save_steps": 50,
149
+ "save_only_model": false,
150
+ "save_total_limit": null,
151
+ "logging_steps": 5,
152
+ "acc_steps": 1,
153
+ "dataloader_num_workers": 1,
154
+ "dataloader_pin_memory": true,
155
+ "dataloader_drop_last": false,
156
+ "push_to_hub": false,
157
+ "hub_model_id": null,
158
+ "hub_token": null,
159
+ "hub_private_repo": false,
160
+ "hub_strategy": "every_save",
161
+ "test_oom_error": false,
162
+ "disable_tqdm": false,
163
+ "lazy_tokenize": true,
164
+ "preprocess_num_proc": 1,
165
+ "use_flash_attn": null,
166
+ "ignore_args_error": false,
167
+ "check_model_is_latest": true,
168
+ "logging_dir": "/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713/runs",
169
+ "report_to": [
170
+ "tensorboard"
171
+ ],
172
+ "acc_strategy": "token",
173
+ "save_on_each_node": false,
174
+ "evaluation_strategy": "steps",
175
+ "save_strategy": "steps",
176
+ "save_safetensors": true,
177
+ "gpu_memory_fraction": null,
178
+ "include_num_input_tokens_seen": false,
179
+ "local_repo_path": null,
180
+ "custom_register_path": null,
181
+ "custom_dataset_info": null,
182
+ "device_map_config": null,
183
+ "device_max_memory": [],
184
+ "max_new_tokens": 2048,
185
+ "do_sample": null,
186
+ "temperature": null,
187
+ "top_k": null,
188
+ "top_p": null,
189
+ "repetition_penalty": null,
190
+ "num_beams": 1,
191
+ "fsdp": "",
192
+ "fsdp_config": null,
193
+ "sequence_parallel_size": 1,
194
+ "model_layer_cls_name": null,
195
+ "metric_warmup_step": 0,
196
+ "fsdp_num": 1,
197
+ "per_device_train_batch_size": null,
198
+ "per_device_eval_batch_size": null,
199
+ "eval_strategy": null,
200
+ "self_cognition_sample": 0,
201
+ "train_dataset_mix_ratio": 0.0,
202
+ "train_dataset_mix_ds": [
203
+ "ms-bench"
204
+ ],
205
+ "train_dataset_sample": -1,
206
+ "val_dataset_sample": null,
207
+ "safe_serialization": null,
208
+ "only_save_model": null,
209
+ "neftune_alpha": null,
210
+ "deepspeed_config_path": null,
211
+ "model_cache_dir": null,
212
+ "lora_dropout_p": null,
213
+ "lora_target_modules": [],
214
+ "lora_target_regex": null,
215
+ "lora_modules_to_save": [],
216
+ "boft_target_modules": [],
217
+ "boft_modules_to_save": [],
218
+ "vera_target_modules": [],
219
+ "vera_modules_to_save": [],
220
+ "ia3_target_modules": [],
221
+ "ia3_modules_to_save": [],
222
+ "custom_train_dataset_path": [],
223
+ "custom_val_dataset_path": [],
224
+ "device_map_config_path": null,
225
+ "push_hub_strategy": null,
226
+ "use_self_cognition": false,
227
+ "is_multimodal": true,
228
+ "is_vision": true,
229
+ "lora_use_embedding": false,
230
+ "lora_use_all": false,
231
+ "lora_m2s_use_embedding": false,
232
+ "lora_m2s_use_ln": false,
233
+ "torch_dtype": "torch.bfloat16",
234
+ "fp16": false,
235
+ "bf16": true,
236
+ "rank": -1,
237
+ "local_rank": -1,
238
+ "world_size": 1,
239
+ "local_world_size": 1,
240
+ "bnb_4bit_compute_dtype": "torch.bfloat16",
241
+ "load_in_4bit": false,
242
+ "load_in_8bit": false,
243
+ "train_sampler_random": true,
244
+ "train_type": "sft",
245
+ "training_args": "Seq2SeqTrainingArguments(output_dir='/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713', overwrite_output_dir=False, do_train=False, do_eval=True, do_predict=False, eval_strategy=<IntervalStrategy.STEPS: 'steps'>, prediction_loss_only=False, per_device_train_batch_size=1, per_device_eval_batch_size=1, per_gpu_train_batch_size=None, per_gpu_eval_batch_size=None, gradient_accumulation_steps=16, eval_accumulation_steps=None, eval_delay=0, torch_empty_cache_steps=None, learning_rate=0.0001, weight_decay=0.1, adam_beta1=0.9, adam_beta2=0.95, adam_epsilon=1e-08, max_grad_norm=1, num_train_epochs=1, max_steps=1000, lr_scheduler_type=<SchedulerType.COSINE: 'cosine'>, lr_scheduler_kwargs={}, warmup_ratio=0.05, warmup_steps=0, log_level='passive', log_level_replica='warning', log_on_each_node=True, logging_dir='/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713/runs', logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_first_step=True, logging_steps=5, logging_nan_inf_filter=True, save_strategy=<IntervalStrategy.STEPS: 'steps'>, save_steps=50, save_total_limit=None, save_safetensors=True, save_on_each_node=False, save_only_model=False, restore_callback_states_from_checkpoint=False, no_cuda=False, use_cpu=False, use_mps_device=False, seed=42, data_seed=42, jit_mode_eval=False, use_ipex=False, bf16=True, fp16=False, fp16_opt_level='O1', half_precision_backend='auto', bf16_full_eval=False, fp16_full_eval=False, tf32=None, local_rank=0, ddp_backend=None, tpu_num_cores=None, tpu_metrics_debug=False, debug=[], dataloader_drop_last=False, eval_steps=50, dataloader_num_workers=1, dataloader_prefetch_factor=None, past_index=-1, run_name='/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713', disable_tqdm=False, remove_unused_columns=False, label_names=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, fsdp=[], fsdp_min_num_params=0, fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, fsdp_transformer_layer_cls_to_wrap=None, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), deepspeed=None, label_smoothing_factor=0.0, optim=<OptimizerNames.ADAMW_TORCH: 'adamw_torch'>, optim_args=None, adafactor=False, group_by_length=False, length_column_name='length', report_to=['tensorboard'], ddp_find_unused_parameters=None, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, dataloader_pin_memory=True, dataloader_persistent_workers=False, skip_memory_metrics=True, use_legacy_prediction_loop=False, push_to_hub=False, resume_from_checkpoint=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_token=None, hub_private_repo=False, hub_always_push=False, gradient_checkpointing=True, gradient_checkpointing_kwargs=None, include_inputs_for_metrics=False, include_for_metrics=[], eval_do_concat_batches=True, fp16_backend='auto', evaluation_strategy=None, push_to_hub_model_id=None, push_to_hub_organization=None, push_to_hub_token=None, mp_parameters='', auto_find_batch_size=False, full_determinism=False, torchdynamo=None, ray_scope='last', ddp_timeout=1800, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, dispatch_batches=None, split_batches=None, include_tokens_per_second=False, include_num_input_tokens_seen=False, neftune_noise_alpha=None, optim_target_modules=None, batch_eval_metrics=False, eval_on_start=False, use_liger_kernel=False, eval_use_gather_object=False, average_tokens_across_devices=False, sortish_sampler=False, predict_with_generate=False, generation_max_length=None, generation_num_beams=None, generation_config=GenerationConfig {\n \"bos_token_id\": 1,\n \"eos_token_id\": 32000,\n \"max_new_tokens\": 2048,\n \"pad_token_id\": 32000\n}\n, acc_strategy='token', loss_name=None, additional_saved_files=[], train_sampler_random=True, metric_warmup_step=0, train_dataset_sample=-1)"
246
+ }
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/trainer_state.json ADDED
@@ -0,0 +1,2223 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.60646284,
3
+ "best_model_checkpoint": "/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713/checkpoint-850",
4
+ "epoch": 0.12837382457716873,
5
+ "eval_steps": 50,
6
+ "global_step": 1000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "acc": 0.77952504,
13
+ "epoch": 0.0001283738245771687,
14
+ "grad_norm": 0.15511861443519592,
15
+ "learning_rate": 2.0000000000000003e-06,
16
+ "loss": 0.82634771,
17
+ "memory(GiB)": 11.42,
18
+ "step": 1,
19
+ "train_speed(iter/s)": 0.092016
20
+ },
21
+ {
22
+ "acc": 0.77674872,
23
+ "epoch": 0.0006418691228858435,
24
+ "grad_norm": 0.14591480791568756,
25
+ "learning_rate": 1e-05,
26
+ "loss": 0.8159712,
27
+ "memory(GiB)": 12.15,
28
+ "step": 5,
29
+ "train_speed(iter/s)": 0.10552
30
+ },
31
+ {
32
+ "acc": 0.77379012,
33
+ "epoch": 0.001283738245771687,
34
+ "grad_norm": 0.151850163936615,
35
+ "learning_rate": 2e-05,
36
+ "loss": 0.8015564,
37
+ "memory(GiB)": 12.15,
38
+ "step": 10,
39
+ "train_speed(iter/s)": 0.107013
40
+ },
41
+ {
42
+ "acc": 0.7784133,
43
+ "epoch": 0.0019256073686575307,
44
+ "grad_norm": 0.15997682511806488,
45
+ "learning_rate": 3e-05,
46
+ "loss": 0.79284344,
47
+ "memory(GiB)": 12.15,
48
+ "step": 15,
49
+ "train_speed(iter/s)": 0.110995
50
+ },
51
+ {
52
+ "acc": 0.7815052,
53
+ "epoch": 0.002567476491543374,
54
+ "grad_norm": 0.14427673816680908,
55
+ "learning_rate": 4e-05,
56
+ "loss": 0.78122258,
57
+ "memory(GiB)": 12.9,
58
+ "step": 20,
59
+ "train_speed(iter/s)": 0.111462
60
+ },
61
+ {
62
+ "acc": 0.7915082,
63
+ "epoch": 0.0032093456144292177,
64
+ "grad_norm": 0.1590222716331482,
65
+ "learning_rate": 5e-05,
66
+ "loss": 0.7404335,
67
+ "memory(GiB)": 12.9,
68
+ "step": 25,
69
+ "train_speed(iter/s)": 0.112268
70
+ },
71
+ {
72
+ "acc": 0.80291214,
73
+ "epoch": 0.0038512147373150614,
74
+ "grad_norm": 0.13638992607593536,
75
+ "learning_rate": 6e-05,
76
+ "loss": 0.68063788,
77
+ "memory(GiB)": 12.9,
78
+ "step": 30,
79
+ "train_speed(iter/s)": 0.111517
80
+ },
81
+ {
82
+ "acc": 0.79923964,
83
+ "epoch": 0.0044930838602009054,
84
+ "grad_norm": 0.1271245777606964,
85
+ "learning_rate": 7e-05,
86
+ "loss": 0.68800621,
87
+ "memory(GiB)": 12.9,
88
+ "step": 35,
89
+ "train_speed(iter/s)": 0.110574
90
+ },
91
+ {
92
+ "acc": 0.80240812,
93
+ "epoch": 0.005134952983086748,
94
+ "grad_norm": 0.11937133222818375,
95
+ "learning_rate": 8e-05,
96
+ "loss": 0.69939818,
97
+ "memory(GiB)": 12.9,
98
+ "step": 40,
99
+ "train_speed(iter/s)": 0.109469
100
+ },
101
+ {
102
+ "acc": 0.78317132,
103
+ "epoch": 0.005776822105972592,
104
+ "grad_norm": 0.1665358543395996,
105
+ "learning_rate": 9e-05,
106
+ "loss": 0.75735736,
107
+ "memory(GiB)": 12.9,
108
+ "step": 45,
109
+ "train_speed(iter/s)": 0.108968
110
+ },
111
+ {
112
+ "acc": 0.80379133,
113
+ "epoch": 0.0064186912288584355,
114
+ "grad_norm": 0.14883440732955933,
115
+ "learning_rate": 0.0001,
116
+ "loss": 0.6824338,
117
+ "memory(GiB)": 12.9,
118
+ "step": 50,
119
+ "train_speed(iter/s)": 0.109163
120
+ },
121
+ {
122
+ "epoch": 0.0064186912288584355,
123
+ "eval_acc": 0.8081346555994846,
124
+ "eval_loss": 0.6729312539100647,
125
+ "eval_runtime": 195.4613,
126
+ "eval_samples_per_second": 6.436,
127
+ "eval_steps_per_second": 6.436,
128
+ "step": 50
129
+ },
130
+ {
131
+ "acc": 0.7984889,
132
+ "epoch": 0.007060560351744279,
133
+ "grad_norm": 0.16687534749507904,
134
+ "learning_rate": 9.999316524962345e-05,
135
+ "loss": 0.7141089,
136
+ "memory(GiB)": 12.9,
137
+ "step": 55,
138
+ "train_speed(iter/s)": 0.078646
139
+ },
140
+ {
141
+ "acc": 0.79216175,
142
+ "epoch": 0.007702429474630123,
143
+ "grad_norm": 0.17546051740646362,
144
+ "learning_rate": 9.997266286704631e-05,
145
+ "loss": 0.72419305,
146
+ "memory(GiB)": 12.9,
147
+ "step": 60,
148
+ "train_speed(iter/s)": 0.080466
149
+ },
150
+ {
151
+ "acc": 0.80358973,
152
+ "epoch": 0.008344298597515967,
153
+ "grad_norm": 0.16079305112361908,
154
+ "learning_rate": 9.993849845741524e-05,
155
+ "loss": 0.67717872,
156
+ "memory(GiB)": 12.9,
157
+ "step": 65,
158
+ "train_speed(iter/s)": 0.082252
159
+ },
160
+ {
161
+ "acc": 0.80615339,
162
+ "epoch": 0.008986167720401811,
163
+ "grad_norm": 0.1396234929561615,
164
+ "learning_rate": 9.989068136093873e-05,
165
+ "loss": 0.70638905,
166
+ "memory(GiB)": 12.9,
167
+ "step": 70,
168
+ "train_speed(iter/s)": 0.084
169
+ },
170
+ {
171
+ "acc": 0.79676814,
172
+ "epoch": 0.009628036843287653,
173
+ "grad_norm": 0.1340462565422058,
174
+ "learning_rate": 9.98292246503335e-05,
175
+ "loss": 0.71420946,
176
+ "memory(GiB)": 12.9,
177
+ "step": 75,
178
+ "train_speed(iter/s)": 0.08542
179
+ },
180
+ {
181
+ "acc": 0.79325166,
182
+ "epoch": 0.010269905966173496,
183
+ "grad_norm": 0.13259001076221466,
184
+ "learning_rate": 9.975414512725057e-05,
185
+ "loss": 0.71777782,
186
+ "memory(GiB)": 12.9,
187
+ "step": 80,
188
+ "train_speed(iter/s)": 0.086655
189
+ },
190
+ {
191
+ "acc": 0.81705523,
192
+ "epoch": 0.01091177508905934,
193
+ "grad_norm": 0.15833652019500732,
194
+ "learning_rate": 9.966546331768191e-05,
195
+ "loss": 0.62526927,
196
+ "memory(GiB)": 12.9,
197
+ "step": 85,
198
+ "train_speed(iter/s)": 0.088014
199
+ },
200
+ {
201
+ "acc": 0.80851898,
202
+ "epoch": 0.011553644211945184,
203
+ "grad_norm": 0.1456330418586731,
204
+ "learning_rate": 9.956320346634876e-05,
205
+ "loss": 0.68010745,
206
+ "memory(GiB)": 12.9,
207
+ "step": 90,
208
+ "train_speed(iter/s)": 0.088941
209
+ },
210
+ {
211
+ "acc": 0.81903477,
212
+ "epoch": 0.012195513334831027,
213
+ "grad_norm": 0.14285945892333984,
214
+ "learning_rate": 9.944739353007344e-05,
215
+ "loss": 0.6090106,
216
+ "memory(GiB)": 12.9,
217
+ "step": 95,
218
+ "train_speed(iter/s)": 0.089902
219
+ },
220
+ {
221
+ "acc": 0.82483721,
222
+ "epoch": 0.012837382457716871,
223
+ "grad_norm": 0.1478744000196457,
224
+ "learning_rate": 9.931806517013612e-05,
225
+ "loss": 0.59807158,
226
+ "memory(GiB)": 12.9,
227
+ "step": 100,
228
+ "train_speed(iter/s)": 0.090663
229
+ },
230
+ {
231
+ "epoch": 0.012837382457716871,
232
+ "eval_acc": 0.813768508772143,
233
+ "eval_loss": 0.645352840423584,
234
+ "eval_runtime": 195.755,
235
+ "eval_samples_per_second": 6.426,
236
+ "eval_steps_per_second": 6.426,
237
+ "step": 100
238
+ },
239
+ {
240
+ "acc": 0.80671978,
241
+ "epoch": 0.013479251580602715,
242
+ "grad_norm": 0.15444877743721008,
243
+ "learning_rate": 9.917525374361912e-05,
244
+ "loss": 0.66537051,
245
+ "memory(GiB)": 12.9,
246
+ "step": 105,
247
+ "train_speed(iter/s)": 0.078062
248
+ },
249
+ {
250
+ "acc": 0.81962786,
251
+ "epoch": 0.014121120703488558,
252
+ "grad_norm": 0.16826578974723816,
253
+ "learning_rate": 9.901899829374047e-05,
254
+ "loss": 0.60835891,
255
+ "memory(GiB)": 12.9,
256
+ "step": 110,
257
+ "train_speed(iter/s)": 0.079089
258
+ },
259
+ {
260
+ "acc": 0.80644588,
261
+ "epoch": 0.014762989826374402,
262
+ "grad_norm": 0.1519591063261032,
263
+ "learning_rate": 9.884934153917997e-05,
264
+ "loss": 0.66763787,
265
+ "memory(GiB)": 12.9,
266
+ "step": 115,
267
+ "train_speed(iter/s)": 0.08012
268
+ },
269
+ {
270
+ "acc": 0.8235981,
271
+ "epoch": 0.015404858949260246,
272
+ "grad_norm": 0.20040030777454376,
273
+ "learning_rate": 9.86663298624003e-05,
274
+ "loss": 0.5919826,
275
+ "memory(GiB)": 12.9,
276
+ "step": 120,
277
+ "train_speed(iter/s)": 0.081125
278
+ },
279
+ {
280
+ "acc": 0.81199884,
281
+ "epoch": 0.01604672807214609,
282
+ "grad_norm": 0.1842738389968872,
283
+ "learning_rate": 9.847001329696653e-05,
284
+ "loss": 0.63266978,
285
+ "memory(GiB)": 12.9,
286
+ "step": 125,
287
+ "train_speed(iter/s)": 0.082093
288
+ },
289
+ {
290
+ "acc": 0.81563005,
291
+ "epoch": 0.016688597195031935,
292
+ "grad_norm": 0.15375380218029022,
293
+ "learning_rate": 9.826044551386744e-05,
294
+ "loss": 0.61709371,
295
+ "memory(GiB)": 12.9,
296
+ "step": 130,
297
+ "train_speed(iter/s)": 0.082937
298
+ },
299
+ {
300
+ "acc": 0.80918331,
301
+ "epoch": 0.017330466317917778,
302
+ "grad_norm": 0.14841115474700928,
303
+ "learning_rate": 9.803768380684242e-05,
304
+ "loss": 0.63595695,
305
+ "memory(GiB)": 12.9,
306
+ "step": 135,
307
+ "train_speed(iter/s)": 0.083738
308
+ },
309
+ {
310
+ "acc": 0.81229877,
311
+ "epoch": 0.017972335440803622,
312
+ "grad_norm": 0.16627077758312225,
313
+ "learning_rate": 9.780178907671789e-05,
314
+ "loss": 0.64757662,
315
+ "memory(GiB)": 12.9,
316
+ "step": 140,
317
+ "train_speed(iter/s)": 0.084642
318
+ },
319
+ {
320
+ "acc": 0.804142,
321
+ "epoch": 0.018614204563689465,
322
+ "grad_norm": 0.1714244931936264,
323
+ "learning_rate": 9.755282581475769e-05,
324
+ "loss": 0.6832706,
325
+ "memory(GiB)": 12.9,
326
+ "step": 145,
327
+ "train_speed(iter/s)": 0.085406
328
+ },
329
+ {
330
+ "acc": 0.79688311,
331
+ "epoch": 0.019256073686575306,
332
+ "grad_norm": 0.18916593492031097,
333
+ "learning_rate": 9.729086208503174e-05,
334
+ "loss": 0.70668921,
335
+ "memory(GiB)": 12.9,
336
+ "step": 150,
337
+ "train_speed(iter/s)": 0.086183
338
+ },
339
+ {
340
+ "epoch": 0.019256073686575306,
341
+ "eval_acc": 0.8153510047395746,
342
+ "eval_loss": 0.6350318193435669,
343
+ "eval_runtime": 196.0265,
344
+ "eval_samples_per_second": 6.417,
345
+ "eval_steps_per_second": 6.417,
346
+ "step": 150
347
+ },
348
+ {
349
+ "acc": 0.80884809,
350
+ "epoch": 0.01989794280946115,
351
+ "grad_norm": 0.17633555829524994,
352
+ "learning_rate": 9.701596950580806e-05,
353
+ "loss": 0.63387117,
354
+ "memory(GiB)": 12.9,
355
+ "step": 155,
356
+ "train_speed(iter/s)": 0.078254
357
+ },
358
+ {
359
+ "acc": 0.81135025,
360
+ "epoch": 0.020539811932346993,
361
+ "grad_norm": 0.18200528621673584,
362
+ "learning_rate": 9.672822322997305e-05,
363
+ "loss": 0.65075536,
364
+ "memory(GiB)": 12.9,
365
+ "step": 160,
366
+ "train_speed(iter/s)": 0.078985
367
+ },
368
+ {
369
+ "acc": 0.82410259,
370
+ "epoch": 0.021181681055232836,
371
+ "grad_norm": 0.14853200316429138,
372
+ "learning_rate": 9.642770192448536e-05,
373
+ "loss": 0.60177903,
374
+ "memory(GiB)": 12.9,
375
+ "step": 165,
376
+ "train_speed(iter/s)": 0.079746
377
+ },
378
+ {
379
+ "acc": 0.80189457,
380
+ "epoch": 0.02182355017811868,
381
+ "grad_norm": 0.17732569575309753,
382
+ "learning_rate": 9.611448774886924e-05,
383
+ "loss": 0.68190188,
384
+ "memory(GiB)": 12.9,
385
+ "step": 170,
386
+ "train_speed(iter/s)": 0.080445
387
+ },
388
+ {
389
+ "acc": 0.81763601,
390
+ "epoch": 0.022465419301004524,
391
+ "grad_norm": 0.3583473563194275,
392
+ "learning_rate": 9.578866633275288e-05,
393
+ "loss": 0.62211475,
394
+ "memory(GiB)": 12.9,
395
+ "step": 175,
396
+ "train_speed(iter/s)": 0.081173
397
+ },
398
+ {
399
+ "acc": 0.81451321,
400
+ "epoch": 0.023107288423890367,
401
+ "grad_norm": 0.19369152188301086,
402
+ "learning_rate": 9.545032675245813e-05,
403
+ "loss": 0.63143706,
404
+ "memory(GiB)": 12.9,
405
+ "step": 180,
406
+ "train_speed(iter/s)": 0.081877
407
+ },
408
+ {
409
+ "acc": 0.809447,
410
+ "epoch": 0.02374915754677621,
411
+ "grad_norm": 0.16049319505691528,
412
+ "learning_rate": 9.509956150664796e-05,
413
+ "loss": 0.6451148,
414
+ "memory(GiB)": 12.9,
415
+ "step": 185,
416
+ "train_speed(iter/s)": 0.082533
417
+ },
418
+ {
419
+ "acc": 0.80372143,
420
+ "epoch": 0.024391026669662055,
421
+ "grad_norm": 0.19566483795642853,
422
+ "learning_rate": 9.473646649103818e-05,
423
+ "loss": 0.65715637,
424
+ "memory(GiB)": 12.9,
425
+ "step": 190,
426
+ "train_speed(iter/s)": 0.083203
427
+ },
428
+ {
429
+ "acc": 0.81516018,
430
+ "epoch": 0.0250328957925479,
431
+ "grad_norm": 0.1836969554424286,
432
+ "learning_rate": 9.43611409721806e-05,
433
+ "loss": 0.63388405,
434
+ "memory(GiB)": 12.9,
435
+ "step": 195,
436
+ "train_speed(iter/s)": 0.083851
437
+ },
438
+ {
439
+ "acc": 0.80683355,
440
+ "epoch": 0.025674764915433742,
441
+ "grad_norm": 0.15840834379196167,
442
+ "learning_rate": 9.397368756032445e-05,
443
+ "loss": 0.65765018,
444
+ "memory(GiB)": 12.9,
445
+ "step": 200,
446
+ "train_speed(iter/s)": 0.084362
447
+ },
448
+ {
449
+ "epoch": 0.025674764915433742,
450
+ "eval_acc": 0.8154263931167957,
451
+ "eval_loss": 0.6316511034965515,
452
+ "eval_runtime": 194.3299,
453
+ "eval_samples_per_second": 6.474,
454
+ "eval_steps_per_second": 6.474,
455
+ "step": 200
456
+ },
457
+ {
458
+ "acc": 0.81476297,
459
+ "epoch": 0.026316634038319586,
460
+ "grad_norm": 0.18683095276355743,
461
+ "learning_rate": 9.357421218136386e-05,
462
+ "loss": 0.64739652,
463
+ "memory(GiB)": 12.9,
464
+ "step": 205,
465
+ "train_speed(iter/s)": 0.078515
466
+ },
467
+ {
468
+ "acc": 0.80957623,
469
+ "epoch": 0.02695850316120543,
470
+ "grad_norm": 0.16226844489574432,
471
+ "learning_rate": 9.316282404787871e-05,
472
+ "loss": 0.65772038,
473
+ "memory(GiB)": 12.9,
474
+ "step": 210,
475
+ "train_speed(iter/s)": 0.079027
476
+ },
477
+ {
478
+ "acc": 0.81580648,
479
+ "epoch": 0.027600372284091273,
480
+ "grad_norm": 0.16426005959510803,
481
+ "learning_rate": 9.273963562927695e-05,
482
+ "loss": 0.63748703,
483
+ "memory(GiB)": 12.9,
484
+ "step": 215,
485
+ "train_speed(iter/s)": 0.079584
486
+ },
487
+ {
488
+ "acc": 0.80812073,
489
+ "epoch": 0.028242241406977116,
490
+ "grad_norm": 0.1749752312898636,
491
+ "learning_rate": 9.230476262104677e-05,
492
+ "loss": 0.66415677,
493
+ "memory(GiB)": 12.9,
494
+ "step": 220,
495
+ "train_speed(iter/s)": 0.080111
496
+ },
497
+ {
498
+ "acc": 0.81957884,
499
+ "epoch": 0.02888411052986296,
500
+ "grad_norm": 0.15272143483161926,
501
+ "learning_rate": 9.185832391312644e-05,
502
+ "loss": 0.62169385,
503
+ "memory(GiB)": 12.9,
504
+ "step": 225,
505
+ "train_speed(iter/s)": 0.080603
506
+ },
507
+ {
508
+ "acc": 0.80860453,
509
+ "epoch": 0.029525979652748804,
510
+ "grad_norm": 0.1689305603504181,
511
+ "learning_rate": 9.140044155740101e-05,
512
+ "loss": 0.6528583,
513
+ "memory(GiB)": 12.9,
514
+ "step": 230,
515
+ "train_speed(iter/s)": 0.081113
516
+ },
517
+ {
518
+ "acc": 0.81558657,
519
+ "epoch": 0.030167848775634647,
520
+ "grad_norm": 0.20389845967292786,
521
+ "learning_rate": 9.093124073433463e-05,
522
+ "loss": 0.62348075,
523
+ "memory(GiB)": 12.9,
524
+ "step": 235,
525
+ "train_speed(iter/s)": 0.081633
526
+ },
527
+ {
528
+ "acc": 0.83771782,
529
+ "epoch": 0.03080971789852049,
530
+ "grad_norm": 0.1833639293909073,
531
+ "learning_rate": 9.045084971874738e-05,
532
+ "loss": 0.54310794,
533
+ "memory(GiB)": 12.9,
534
+ "step": 240,
535
+ "train_speed(iter/s)": 0.082163
536
+ },
537
+ {
538
+ "acc": 0.81091404,
539
+ "epoch": 0.03145158702140634,
540
+ "grad_norm": 0.1823006570339203,
541
+ "learning_rate": 8.995939984474624e-05,
542
+ "loss": 0.65011134,
543
+ "memory(GiB)": 12.9,
544
+ "step": 245,
545
+ "train_speed(iter/s)": 0.082662
546
+ },
547
+ {
548
+ "acc": 0.8202961,
549
+ "epoch": 0.03209345614429218,
550
+ "grad_norm": 0.19047267735004425,
551
+ "learning_rate": 8.945702546981969e-05,
552
+ "loss": 0.61326828,
553
+ "memory(GiB)": 12.9,
554
+ "step": 250,
555
+ "train_speed(iter/s)": 0.083111
556
+ },
557
+ {
558
+ "epoch": 0.03209345614429218,
559
+ "eval_acc": 0.8174640226702884,
560
+ "eval_loss": 0.6222989559173584,
561
+ "eval_runtime": 194.2619,
562
+ "eval_samples_per_second": 6.476,
563
+ "eval_steps_per_second": 6.476,
564
+ "step": 250
565
+ },
566
+ {
567
+ "acc": 0.81616802,
568
+ "epoch": 0.032735325267178025,
569
+ "grad_norm": 0.19024300575256348,
570
+ "learning_rate": 8.894386393810563e-05,
571
+ "loss": 0.65217943,
572
+ "memory(GiB)": 12.9,
573
+ "step": 255,
574
+ "train_speed(iter/s)": 0.078534
575
+ },
576
+ {
577
+ "acc": 0.81027069,
578
+ "epoch": 0.03337719439006387,
579
+ "grad_norm": 0.19169311225414276,
580
+ "learning_rate": 8.842005554284296e-05,
581
+ "loss": 0.65409112,
582
+ "memory(GiB)": 12.9,
583
+ "step": 260,
584
+ "train_speed(iter/s)": 0.078979
585
+ },
586
+ {
587
+ "acc": 0.80319004,
588
+ "epoch": 0.03401906351294971,
589
+ "grad_norm": 0.20081347227096558,
590
+ "learning_rate": 8.788574348801675e-05,
591
+ "loss": 0.67106547,
592
+ "memory(GiB)": 12.9,
593
+ "step": 265,
594
+ "train_speed(iter/s)": 0.079517
595
+ },
596
+ {
597
+ "acc": 0.82499094,
598
+ "epoch": 0.034660932635835556,
599
+ "grad_norm": 0.16266761720180511,
600
+ "learning_rate": 8.73410738492077e-05,
601
+ "loss": 0.57896609,
602
+ "memory(GiB)": 12.9,
603
+ "step": 270,
604
+ "train_speed(iter/s)": 0.079959
605
+ },
606
+ {
607
+ "acc": 0.83434772,
608
+ "epoch": 0.0353028017587214,
609
+ "grad_norm": 0.19760368764400482,
610
+ "learning_rate": 8.678619553365659e-05,
611
+ "loss": 0.56308613,
612
+ "memory(GiB)": 12.9,
613
+ "step": 275,
614
+ "train_speed(iter/s)": 0.080441
615
+ },
616
+ {
617
+ "acc": 0.81103878,
618
+ "epoch": 0.035944670881607244,
619
+ "grad_norm": 0.20421290397644043,
620
+ "learning_rate": 8.622126023955446e-05,
621
+ "loss": 0.62751951,
622
+ "memory(GiB)": 12.9,
623
+ "step": 280,
624
+ "train_speed(iter/s)": 0.080888
625
+ },
626
+ {
627
+ "acc": 0.80577688,
628
+ "epoch": 0.03658654000449309,
629
+ "grad_norm": 0.18944613635540009,
630
+ "learning_rate": 8.564642241456986e-05,
631
+ "loss": 0.67880988,
632
+ "memory(GiB)": 12.9,
633
+ "step": 285,
634
+ "train_speed(iter/s)": 0.081351
635
+ },
636
+ {
637
+ "acc": 0.81629257,
638
+ "epoch": 0.03722840912737893,
639
+ "grad_norm": 0.16580034792423248,
640
+ "learning_rate": 8.506183921362443e-05,
641
+ "loss": 0.63270054,
642
+ "memory(GiB)": 12.9,
643
+ "step": 290,
644
+ "train_speed(iter/s)": 0.081754
645
+ },
646
+ {
647
+ "acc": 0.81265612,
648
+ "epoch": 0.037870278250264774,
649
+ "grad_norm": 0.20476555824279785,
650
+ "learning_rate": 8.44676704559283e-05,
651
+ "loss": 0.63396297,
652
+ "memory(GiB)": 12.9,
653
+ "step": 295,
654
+ "train_speed(iter/s)": 0.082163
655
+ },
656
+ {
657
+ "acc": 0.81665688,
658
+ "epoch": 0.03851214737315061,
659
+ "grad_norm": 0.1685812920331955,
660
+ "learning_rate": 8.386407858128706e-05,
661
+ "loss": 0.63431234,
662
+ "memory(GiB)": 12.9,
663
+ "step": 300,
664
+ "train_speed(iter/s)": 0.082563
665
+ },
666
+ {
667
+ "epoch": 0.03851214737315061,
668
+ "eval_acc": 0.8180910416791721,
669
+ "eval_loss": 0.6213402152061462,
670
+ "eval_runtime": 194.9277,
671
+ "eval_samples_per_second": 6.454,
672
+ "eval_steps_per_second": 6.454,
673
+ "step": 300
674
+ },
675
+ {
676
+ "acc": 0.81313,
677
+ "epoch": 0.039154016496036455,
678
+ "grad_norm": 0.19343021512031555,
679
+ "learning_rate": 8.32512286056924e-05,
680
+ "loss": 0.65134788,
681
+ "memory(GiB)": 12.9,
682
+ "step": 305,
683
+ "train_speed(iter/s)": 0.078839
684
+ },
685
+ {
686
+ "acc": 0.80900688,
687
+ "epoch": 0.0397958856189223,
688
+ "grad_norm": 0.20626357197761536,
689
+ "learning_rate": 8.262928807620843e-05,
690
+ "loss": 0.66552057,
691
+ "memory(GiB)": 12.9,
692
+ "step": 310,
693
+ "train_speed(iter/s)": 0.07924
694
+ },
695
+ {
696
+ "acc": 0.81944618,
697
+ "epoch": 0.04043775474180814,
698
+ "grad_norm": 0.22261416912078857,
699
+ "learning_rate": 8.199842702516583e-05,
700
+ "loss": 0.6285687,
701
+ "memory(GiB)": 12.9,
702
+ "step": 315,
703
+ "train_speed(iter/s)": 0.079651
704
+ },
705
+ {
706
+ "acc": 0.82105675,
707
+ "epoch": 0.041079623864693986,
708
+ "grad_norm": 0.17977821826934814,
709
+ "learning_rate": 8.135881792367686e-05,
710
+ "loss": 0.61407933,
711
+ "memory(GiB)": 12.9,
712
+ "step": 320,
713
+ "train_speed(iter/s)": 0.080053
714
+ },
715
+ {
716
+ "acc": 0.81391029,
717
+ "epoch": 0.04172149298757983,
718
+ "grad_norm": 0.1734636276960373,
719
+ "learning_rate": 8.07106356344834e-05,
720
+ "loss": 0.63154807,
721
+ "memory(GiB)": 12.9,
722
+ "step": 325,
723
+ "train_speed(iter/s)": 0.080427
724
+ },
725
+ {
726
+ "acc": 0.80443487,
727
+ "epoch": 0.04236336211046567,
728
+ "grad_norm": 0.20138931274414062,
729
+ "learning_rate": 8.005405736415126e-05,
730
+ "loss": 0.67294674,
731
+ "memory(GiB)": 12.9,
732
+ "step": 330,
733
+ "train_speed(iter/s)": 0.08081
734
+ },
735
+ {
736
+ "acc": 0.8138341,
737
+ "epoch": 0.04300523123335152,
738
+ "grad_norm": 0.2296956181526184,
739
+ "learning_rate": 7.938926261462366e-05,
740
+ "loss": 0.62769508,
741
+ "memory(GiB)": 12.9,
742
+ "step": 335,
743
+ "train_speed(iter/s)": 0.081179
744
+ },
745
+ {
746
+ "acc": 0.81060715,
747
+ "epoch": 0.04364710035623736,
748
+ "grad_norm": 0.18877319991588593,
749
+ "learning_rate": 7.871643313414718e-05,
750
+ "loss": 0.65062008,
751
+ "memory(GiB)": 12.9,
752
+ "step": 340,
753
+ "train_speed(iter/s)": 0.081555
754
+ },
755
+ {
756
+ "acc": 0.80925789,
757
+ "epoch": 0.044288969479123204,
758
+ "grad_norm": 0.20824845135211945,
759
+ "learning_rate": 7.803575286758364e-05,
760
+ "loss": 0.65066905,
761
+ "memory(GiB)": 12.9,
762
+ "step": 345,
763
+ "train_speed(iter/s)": 0.081899
764
+ },
765
+ {
766
+ "acc": 0.80743494,
767
+ "epoch": 0.04493083860200905,
768
+ "grad_norm": 0.1929645985364914,
769
+ "learning_rate": 7.734740790612136e-05,
770
+ "loss": 0.64833279,
771
+ "memory(GiB)": 12.9,
772
+ "step": 350,
773
+ "train_speed(iter/s)": 0.082229
774
+ },
775
+ {
776
+ "epoch": 0.04493083860200905,
777
+ "eval_acc": 0.818597113383227,
778
+ "eval_loss": 0.6184135675430298,
779
+ "eval_runtime": 195.2572,
780
+ "eval_samples_per_second": 6.443,
781
+ "eval_steps_per_second": 6.443,
782
+ "step": 350
783
+ },
784
+ {
785
+ "acc": 0.81946774,
786
+ "epoch": 0.04557270772489489,
787
+ "grad_norm": 0.185298889875412,
788
+ "learning_rate": 7.66515864363997e-05,
789
+ "loss": 0.63578596,
790
+ "memory(GiB)": 12.9,
791
+ "step": 355,
792
+ "train_speed(iter/s)": 0.078909
793
+ },
794
+ {
795
+ "acc": 0.82359991,
796
+ "epoch": 0.046214576847780735,
797
+ "grad_norm": 0.16975072026252747,
798
+ "learning_rate": 7.594847868906076e-05,
799
+ "loss": 0.59197049,
800
+ "memory(GiB)": 12.9,
801
+ "step": 360,
802
+ "train_speed(iter/s)": 0.079228
803
+ },
804
+ {
805
+ "acc": 0.82826347,
806
+ "epoch": 0.04685644597066658,
807
+ "grad_norm": 0.19332191348075867,
808
+ "learning_rate": 7.52382768867422e-05,
809
+ "loss": 0.58269887,
810
+ "memory(GiB)": 12.9,
811
+ "step": 365,
812
+ "train_speed(iter/s)": 0.079527
813
+ },
814
+ {
815
+ "acc": 0.81692057,
816
+ "epoch": 0.04749831509355242,
817
+ "grad_norm": 0.1801847517490387,
818
+ "learning_rate": 7.452117519152542e-05,
819
+ "loss": 0.62563605,
820
+ "memory(GiB)": 12.9,
821
+ "step": 370,
822
+ "train_speed(iter/s)": 0.079855
823
+ },
824
+ {
825
+ "acc": 0.81458244,
826
+ "epoch": 0.048140184216438266,
827
+ "grad_norm": 0.2671217620372772,
828
+ "learning_rate": 7.379736965185368e-05,
829
+ "loss": 0.62537222,
830
+ "memory(GiB)": 12.9,
831
+ "step": 375,
832
+ "train_speed(iter/s)": 0.080167
833
+ },
834
+ {
835
+ "acc": 0.80892944,
836
+ "epoch": 0.04878205333932411,
837
+ "grad_norm": 0.20377114415168762,
838
+ "learning_rate": 7.30670581489344e-05,
839
+ "loss": 0.6464529,
840
+ "memory(GiB)": 12.9,
841
+ "step": 380,
842
+ "train_speed(iter/s)": 0.080535
843
+ },
844
+ {
845
+ "acc": 0.81387253,
846
+ "epoch": 0.04942392246220995,
847
+ "grad_norm": 0.21851402521133423,
848
+ "learning_rate": 7.233044034264034e-05,
849
+ "loss": 0.64175944,
850
+ "memory(GiB)": 12.9,
851
+ "step": 385,
852
+ "train_speed(iter/s)": 0.080866
853
+ },
854
+ {
855
+ "acc": 0.81104851,
856
+ "epoch": 0.0500657915850958,
857
+ "grad_norm": 0.17920850217342377,
858
+ "learning_rate": 7.158771761692464e-05,
859
+ "loss": 0.65399485,
860
+ "memory(GiB)": 12.9,
861
+ "step": 390,
862
+ "train_speed(iter/s)": 0.081177
863
+ },
864
+ {
865
+ "acc": 0.81167917,
866
+ "epoch": 0.05070766070798164,
867
+ "grad_norm": 0.21850617229938507,
868
+ "learning_rate": 7.083909302476453e-05,
869
+ "loss": 0.65062542,
870
+ "memory(GiB)": 12.9,
871
+ "step": 395,
872
+ "train_speed(iter/s)": 0.081491
873
+ },
874
+ {
875
+ "acc": 0.82351618,
876
+ "epoch": 0.051349529830867484,
877
+ "grad_norm": 0.1936645656824112,
878
+ "learning_rate": 7.008477123264848e-05,
879
+ "loss": 0.62041502,
880
+ "memory(GiB)": 12.9,
881
+ "step": 400,
882
+ "train_speed(iter/s)": 0.081765
883
+ },
884
+ {
885
+ "epoch": 0.051349529830867484,
886
+ "eval_acc": 0.8192219173956314,
887
+ "eval_loss": 0.6147059202194214,
888
+ "eval_runtime": 194.2328,
889
+ "eval_samples_per_second": 6.477,
890
+ "eval_steps_per_second": 6.477,
891
+ "step": 400
892
+ },
893
+ {
894
+ "acc": 0.81023674,
895
+ "epoch": 0.05199139895375333,
896
+ "grad_norm": 0.1859249472618103,
897
+ "learning_rate": 6.932495846462261e-05,
898
+ "loss": 0.63979912,
899
+ "memory(GiB)": 12.9,
900
+ "step": 405,
901
+ "train_speed(iter/s)": 0.078921
902
+ },
903
+ {
904
+ "acc": 0.81422606,
905
+ "epoch": 0.05263326807663917,
906
+ "grad_norm": 0.18879809975624084,
907
+ "learning_rate": 6.855986244591104e-05,
908
+ "loss": 0.63082585,
909
+ "memory(GiB)": 12.9,
910
+ "step": 410,
911
+ "train_speed(iter/s)": 0.079225
912
+ },
913
+ {
914
+ "acc": 0.82355537,
915
+ "epoch": 0.053275137199525015,
916
+ "grad_norm": 0.1991114318370819,
917
+ "learning_rate": 6.778969234612584e-05,
918
+ "loss": 0.60244231,
919
+ "memory(GiB)": 12.9,
920
+ "step": 415,
921
+ "train_speed(iter/s)": 0.079522
922
+ },
923
+ {
924
+ "acc": 0.80394392,
925
+ "epoch": 0.05391700632241086,
926
+ "grad_norm": 0.18245312571525574,
927
+ "learning_rate": 6.701465872208216e-05,
928
+ "loss": 0.68041868,
929
+ "memory(GiB)": 12.9,
930
+ "step": 420,
931
+ "train_speed(iter/s)": 0.079822
932
+ },
933
+ {
934
+ "acc": 0.82535486,
935
+ "epoch": 0.0545588754452967,
936
+ "grad_norm": 0.18471555411815643,
937
+ "learning_rate": 6.623497346023418e-05,
938
+ "loss": 0.58148174,
939
+ "memory(GiB)": 12.9,
940
+ "step": 425,
941
+ "train_speed(iter/s)": 0.080165
942
+ },
943
+ {
944
+ "acc": 0.8145462,
945
+ "epoch": 0.055200744568182546,
946
+ "grad_norm": 0.21886418759822845,
947
+ "learning_rate": 6.545084971874738e-05,
948
+ "loss": 0.64324603,
949
+ "memory(GiB)": 12.9,
950
+ "step": 430,
951
+ "train_speed(iter/s)": 0.080479
952
+ },
953
+ {
954
+ "acc": 0.80875597,
955
+ "epoch": 0.05584261369106839,
956
+ "grad_norm": 0.2046084851026535,
957
+ "learning_rate": 6.466250186922325e-05,
958
+ "loss": 0.64245248,
959
+ "memory(GiB)": 12.9,
960
+ "step": 435,
961
+ "train_speed(iter/s)": 0.080772
962
+ },
963
+ {
964
+ "acc": 0.81591587,
965
+ "epoch": 0.05648448281395423,
966
+ "grad_norm": 0.1934758424758911,
967
+ "learning_rate": 6.387014543809223e-05,
968
+ "loss": 0.63060322,
969
+ "memory(GiB)": 12.9,
970
+ "step": 440,
971
+ "train_speed(iter/s)": 0.081046
972
+ },
973
+ {
974
+ "acc": 0.81191225,
975
+ "epoch": 0.05712635193684008,
976
+ "grad_norm": 0.2059066742658615,
977
+ "learning_rate": 6.307399704769099e-05,
978
+ "loss": 0.64218235,
979
+ "memory(GiB)": 12.9,
980
+ "step": 445,
981
+ "train_speed(iter/s)": 0.081334
982
+ },
983
+ {
984
+ "acc": 0.81284475,
985
+ "epoch": 0.05776822105972592,
986
+ "grad_norm": 0.18999861180782318,
987
+ "learning_rate": 6.227427435703997e-05,
988
+ "loss": 0.64007626,
989
+ "memory(GiB)": 12.9,
990
+ "step": 450,
991
+ "train_speed(iter/s)": 0.081619
992
+ },
993
+ {
994
+ "epoch": 0.05776822105972592,
995
+ "eval_acc": 0.8195972020245513,
996
+ "eval_loss": 0.6134685277938843,
997
+ "eval_runtime": 194.9348,
998
+ "eval_samples_per_second": 6.453,
999
+ "eval_steps_per_second": 6.453,
1000
+ "step": 450
1001
+ },
1002
+ {
1003
+ "acc": 0.81439934,
1004
+ "epoch": 0.058410090182611764,
1005
+ "grad_norm": 0.20194242894649506,
1006
+ "learning_rate": 6.147119600233758e-05,
1007
+ "loss": 0.63169065,
1008
+ "memory(GiB)": 12.9,
1009
+ "step": 455,
1010
+ "train_speed(iter/s)": 0.07909
1011
+ },
1012
+ {
1013
+ "acc": 0.80925694,
1014
+ "epoch": 0.05905195930549761,
1015
+ "grad_norm": 0.22199371457099915,
1016
+ "learning_rate": 6.066498153718735e-05,
1017
+ "loss": 0.65331206,
1018
+ "memory(GiB)": 12.9,
1019
+ "step": 460,
1020
+ "train_speed(iter/s)": 0.079394
1021
+ },
1022
+ {
1023
+ "acc": 0.81743002,
1024
+ "epoch": 0.05969382842838345,
1025
+ "grad_norm": 0.1933964639902115,
1026
+ "learning_rate": 5.985585137257401e-05,
1027
+ "loss": 0.62136326,
1028
+ "memory(GiB)": 12.9,
1029
+ "step": 465,
1030
+ "train_speed(iter/s)": 0.079664
1031
+ },
1032
+ {
1033
+ "acc": 0.82081652,
1034
+ "epoch": 0.060335697551269295,
1035
+ "grad_norm": 0.19113869965076447,
1036
+ "learning_rate": 5.90440267166055e-05,
1037
+ "loss": 0.58844328,
1038
+ "memory(GiB)": 12.9,
1039
+ "step": 470,
1040
+ "train_speed(iter/s)": 0.079903
1041
+ },
1042
+ {
1043
+ "acc": 0.82189302,
1044
+ "epoch": 0.06097756667415514,
1045
+ "grad_norm": 0.21947172284126282,
1046
+ "learning_rate": 5.8229729514036705e-05,
1047
+ "loss": 0.6088398,
1048
+ "memory(GiB)": 12.9,
1049
+ "step": 475,
1050
+ "train_speed(iter/s)": 0.080178
1051
+ },
1052
+ {
1053
+ "acc": 0.81938705,
1054
+ "epoch": 0.06161943579704098,
1055
+ "grad_norm": 0.19398923218250275,
1056
+ "learning_rate": 5.74131823855921e-05,
1057
+ "loss": 0.62442837,
1058
+ "memory(GiB)": 12.9,
1059
+ "step": 480,
1060
+ "train_speed(iter/s)": 0.080433
1061
+ },
1062
+ {
1063
+ "acc": 0.82784338,
1064
+ "epoch": 0.062261304919926826,
1065
+ "grad_norm": 0.17412325739860535,
1066
+ "learning_rate": 5.6594608567103456e-05,
1067
+ "loss": 0.57895641,
1068
+ "memory(GiB)": 12.9,
1069
+ "step": 485,
1070
+ "train_speed(iter/s)": 0.080668
1071
+ },
1072
+ {
1073
+ "acc": 0.82182274,
1074
+ "epoch": 0.06290317404281268,
1075
+ "grad_norm": 0.2373647540807724,
1076
+ "learning_rate": 5.577423184847932e-05,
1077
+ "loss": 0.61787653,
1078
+ "memory(GiB)": 12.9,
1079
+ "step": 490,
1080
+ "train_speed(iter/s)": 0.080927
1081
+ },
1082
+ {
1083
+ "acc": 0.82861795,
1084
+ "epoch": 0.06354504316569852,
1085
+ "grad_norm": 0.18874205648899078,
1086
+ "learning_rate": 5.495227651252315e-05,
1087
+ "loss": 0.57188206,
1088
+ "memory(GiB)": 12.9,
1089
+ "step": 495,
1090
+ "train_speed(iter/s)": 0.081151
1091
+ },
1092
+ {
1093
+ "acc": 0.80789671,
1094
+ "epoch": 0.06418691228858436,
1095
+ "grad_norm": 0.1971614509820938,
1096
+ "learning_rate": 5.4128967273616625e-05,
1097
+ "loss": 0.67568989,
1098
+ "memory(GiB)": 12.9,
1099
+ "step": 500,
1100
+ "train_speed(iter/s)": 0.081405
1101
+ },
1102
+ {
1103
+ "epoch": 0.06418691228858436,
1104
+ "eval_acc": 0.8191289863904123,
1105
+ "eval_loss": 0.6154261827468872,
1106
+ "eval_runtime": 194.8211,
1107
+ "eval_samples_per_second": 6.457,
1108
+ "eval_steps_per_second": 6.457,
1109
+ "step": 500
1110
+ },
1111
+ {
1112
+ "acc": 0.80737734,
1113
+ "epoch": 0.06482878141147021,
1114
+ "grad_norm": 0.2034166306257248,
1115
+ "learning_rate": 5.330452921628497e-05,
1116
+ "loss": 0.64408102,
1117
+ "memory(GiB)": 12.9,
1118
+ "step": 505,
1119
+ "train_speed(iter/s)": 0.079157
1120
+ },
1121
+ {
1122
+ "acc": 0.83580818,
1123
+ "epoch": 0.06547065053435605,
1124
+ "grad_norm": 0.1943274289369583,
1125
+ "learning_rate": 5.247918773366112e-05,
1126
+ "loss": 0.55616164,
1127
+ "memory(GiB)": 12.9,
1128
+ "step": 510,
1129
+ "train_speed(iter/s)": 0.079418
1130
+ },
1131
+ {
1132
+ "acc": 0.81569843,
1133
+ "epoch": 0.0661125196572419,
1134
+ "grad_norm": 0.21546119451522827,
1135
+ "learning_rate": 5.165316846586541e-05,
1136
+ "loss": 0.63107128,
1137
+ "memory(GiB)": 12.9,
1138
+ "step": 515,
1139
+ "train_speed(iter/s)": 0.079676
1140
+ },
1141
+ {
1142
+ "acc": 0.82521887,
1143
+ "epoch": 0.06675438878012774,
1144
+ "grad_norm": 0.18064647912979126,
1145
+ "learning_rate": 5.0826697238317935e-05,
1146
+ "loss": 0.60510926,
1147
+ "memory(GiB)": 12.9,
1148
+ "step": 520,
1149
+ "train_speed(iter/s)": 0.079928
1150
+ },
1151
+ {
1152
+ "acc": 0.8060174,
1153
+ "epoch": 0.06739625790301358,
1154
+ "grad_norm": 0.2181115299463272,
1155
+ "learning_rate": 5e-05,
1156
+ "loss": 0.65878468,
1157
+ "memory(GiB)": 12.9,
1158
+ "step": 525,
1159
+ "train_speed(iter/s)": 0.080188
1160
+ },
1161
+ {
1162
+ "acc": 0.81847181,
1163
+ "epoch": 0.06803812702589943,
1164
+ "grad_norm": 0.19227808713912964,
1165
+ "learning_rate": 4.917330276168208e-05,
1166
+ "loss": 0.61963496,
1167
+ "memory(GiB)": 12.9,
1168
+ "step": 530,
1169
+ "train_speed(iter/s)": 0.080404
1170
+ },
1171
+ {
1172
+ "acc": 0.81498117,
1173
+ "epoch": 0.06867999614878527,
1174
+ "grad_norm": 0.22034384310245514,
1175
+ "learning_rate": 4.834683153413459e-05,
1176
+ "loss": 0.6185873,
1177
+ "memory(GiB)": 12.9,
1178
+ "step": 535,
1179
+ "train_speed(iter/s)": 0.080637
1180
+ },
1181
+ {
1182
+ "acc": 0.80154915,
1183
+ "epoch": 0.06932186527167111,
1184
+ "grad_norm": 0.19249100983142853,
1185
+ "learning_rate": 4.7520812266338885e-05,
1186
+ "loss": 0.6963346,
1187
+ "memory(GiB)": 12.9,
1188
+ "step": 540,
1189
+ "train_speed(iter/s)": 0.080856
1190
+ },
1191
+ {
1192
+ "acc": 0.81683502,
1193
+ "epoch": 0.06996373439455696,
1194
+ "grad_norm": 0.1994090974330902,
1195
+ "learning_rate": 4.669547078371504e-05,
1196
+ "loss": 0.6188817,
1197
+ "memory(GiB)": 12.9,
1198
+ "step": 545,
1199
+ "train_speed(iter/s)": 0.081075
1200
+ },
1201
+ {
1202
+ "acc": 0.82736206,
1203
+ "epoch": 0.0706056035174428,
1204
+ "grad_norm": 0.18659113347530365,
1205
+ "learning_rate": 4.5871032726383386e-05,
1206
+ "loss": 0.59354177,
1207
+ "memory(GiB)": 12.9,
1208
+ "step": 550,
1209
+ "train_speed(iter/s)": 0.081266
1210
+ },
1211
+ {
1212
+ "epoch": 0.0706056035174428,
1213
+ "eval_acc": 0.8192911509362449,
1214
+ "eval_loss": 0.6139300465583801,
1215
+ "eval_runtime": 200.9073,
1216
+ "eval_samples_per_second": 6.262,
1217
+ "eval_steps_per_second": 6.262,
1218
+ "step": 550
1219
+ },
1220
+ {
1221
+ "acc": 0.81306267,
1222
+ "epoch": 0.07124747264032864,
1223
+ "grad_norm": 0.17537347972393036,
1224
+ "learning_rate": 4.504772348747687e-05,
1225
+ "loss": 0.63172441,
1226
+ "memory(GiB)": 12.9,
1227
+ "step": 555,
1228
+ "train_speed(iter/s)": 0.079145
1229
+ },
1230
+ {
1231
+ "acc": 0.82534027,
1232
+ "epoch": 0.07188934176321449,
1233
+ "grad_norm": 0.21789848804473877,
1234
+ "learning_rate": 4.4225768151520694e-05,
1235
+ "loss": 0.58555121,
1236
+ "memory(GiB)": 12.9,
1237
+ "step": 560,
1238
+ "train_speed(iter/s)": 0.079394
1239
+ },
1240
+ {
1241
+ "acc": 0.82140818,
1242
+ "epoch": 0.07253121088610033,
1243
+ "grad_norm": 0.19700835645198822,
1244
+ "learning_rate": 4.3405391432896555e-05,
1245
+ "loss": 0.59516869,
1246
+ "memory(GiB)": 12.9,
1247
+ "step": 565,
1248
+ "train_speed(iter/s)": 0.079597
1249
+ },
1250
+ {
1251
+ "acc": 0.81845322,
1252
+ "epoch": 0.07317308000898617,
1253
+ "grad_norm": 0.1818612515926361,
1254
+ "learning_rate": 4.2586817614407895e-05,
1255
+ "loss": 0.60017176,
1256
+ "memory(GiB)": 12.9,
1257
+ "step": 570,
1258
+ "train_speed(iter/s)": 0.079791
1259
+ },
1260
+ {
1261
+ "acc": 0.82169409,
1262
+ "epoch": 0.07381494913187202,
1263
+ "grad_norm": 0.2091558277606964,
1264
+ "learning_rate": 4.17702704859633e-05,
1265
+ "loss": 0.59121842,
1266
+ "memory(GiB)": 12.9,
1267
+ "step": 575,
1268
+ "train_speed(iter/s)": 0.080013
1269
+ },
1270
+ {
1271
+ "acc": 0.81168118,
1272
+ "epoch": 0.07445681825475786,
1273
+ "grad_norm": 0.20149122178554535,
1274
+ "learning_rate": 4.095597328339452e-05,
1275
+ "loss": 0.64874387,
1276
+ "memory(GiB)": 12.9,
1277
+ "step": 580,
1278
+ "train_speed(iter/s)": 0.080249
1279
+ },
1280
+ {
1281
+ "acc": 0.82017975,
1282
+ "epoch": 0.0750986873776437,
1283
+ "grad_norm": 0.21395570039749146,
1284
+ "learning_rate": 4.0144148627425993e-05,
1285
+ "loss": 0.63141985,
1286
+ "memory(GiB)": 12.9,
1287
+ "step": 585,
1288
+ "train_speed(iter/s)": 0.080445
1289
+ },
1290
+ {
1291
+ "acc": 0.8225503,
1292
+ "epoch": 0.07574055650052955,
1293
+ "grad_norm": 0.21270450949668884,
1294
+ "learning_rate": 3.933501846281267e-05,
1295
+ "loss": 0.59338393,
1296
+ "memory(GiB)": 12.9,
1297
+ "step": 590,
1298
+ "train_speed(iter/s)": 0.080661
1299
+ },
1300
+ {
1301
+ "acc": 0.80733299,
1302
+ "epoch": 0.07638242562341538,
1303
+ "grad_norm": 0.21861939132213593,
1304
+ "learning_rate": 3.852880399766243e-05,
1305
+ "loss": 0.65440679,
1306
+ "memory(GiB)": 12.9,
1307
+ "step": 595,
1308
+ "train_speed(iter/s)": 0.080898
1309
+ },
1310
+ {
1311
+ "acc": 0.81755505,
1312
+ "epoch": 0.07702429474630122,
1313
+ "grad_norm": 0.1930130422115326,
1314
+ "learning_rate": 3.772572564296005e-05,
1315
+ "loss": 0.61422372,
1316
+ "memory(GiB)": 12.9,
1317
+ "step": 600,
1318
+ "train_speed(iter/s)": 0.081091
1319
+ },
1320
+ {
1321
+ "epoch": 0.07702429474630122,
1322
+ "eval_acc": 0.8198276458076612,
1323
+ "eval_loss": 0.6109773516654968,
1324
+ "eval_runtime": 195.2232,
1325
+ "eval_samples_per_second": 6.444,
1326
+ "eval_steps_per_second": 6.444,
1327
+ "step": 600
1328
+ },
1329
+ {
1330
+ "acc": 0.82081652,
1331
+ "epoch": 0.07766616386918707,
1332
+ "grad_norm": 0.20753733813762665,
1333
+ "learning_rate": 3.6926002952309016e-05,
1334
+ "loss": 0.6057888,
1335
+ "memory(GiB)": 12.9,
1336
+ "step": 605,
1337
+ "train_speed(iter/s)": 0.07921
1338
+ },
1339
+ {
1340
+ "acc": 0.82343655,
1341
+ "epoch": 0.07830803299207291,
1342
+ "grad_norm": 0.1979513019323349,
1343
+ "learning_rate": 3.612985456190778e-05,
1344
+ "loss": 0.61725841,
1345
+ "memory(GiB)": 12.9,
1346
+ "step": 610,
1347
+ "train_speed(iter/s)": 0.079401
1348
+ },
1349
+ {
1350
+ "acc": 0.81410999,
1351
+ "epoch": 0.07894990211495875,
1352
+ "grad_norm": 0.20070388913154602,
1353
+ "learning_rate": 3.533749813077677e-05,
1354
+ "loss": 0.62781944,
1355
+ "memory(GiB)": 12.9,
1356
+ "step": 615,
1357
+ "train_speed(iter/s)": 0.079569
1358
+ },
1359
+ {
1360
+ "acc": 0.81817207,
1361
+ "epoch": 0.0795917712378446,
1362
+ "grad_norm": 0.2327299267053604,
1363
+ "learning_rate": 3.4549150281252636e-05,
1364
+ "loss": 0.62505813,
1365
+ "memory(GiB)": 12.9,
1366
+ "step": 620,
1367
+ "train_speed(iter/s)": 0.079788
1368
+ },
1369
+ {
1370
+ "acc": 0.82294455,
1371
+ "epoch": 0.08023364036073044,
1372
+ "grad_norm": 0.18113943934440613,
1373
+ "learning_rate": 3.3765026539765834e-05,
1374
+ "loss": 0.60028605,
1375
+ "memory(GiB)": 12.9,
1376
+ "step": 625,
1377
+ "train_speed(iter/s)": 0.079975
1378
+ },
1379
+ {
1380
+ "acc": 0.82047234,
1381
+ "epoch": 0.08087550948361628,
1382
+ "grad_norm": 0.20408566296100616,
1383
+ "learning_rate": 3.298534127791785e-05,
1384
+ "loss": 0.61079011,
1385
+ "memory(GiB)": 12.9,
1386
+ "step": 630,
1387
+ "train_speed(iter/s)": 0.080162
1388
+ },
1389
+ {
1390
+ "acc": 0.82677517,
1391
+ "epoch": 0.08151737860650213,
1392
+ "grad_norm": 0.2132798135280609,
1393
+ "learning_rate": 3.221030765387417e-05,
1394
+ "loss": 0.57911015,
1395
+ "memory(GiB)": 12.9,
1396
+ "step": 635,
1397
+ "train_speed(iter/s)": 0.08036
1398
+ },
1399
+ {
1400
+ "acc": 0.81979742,
1401
+ "epoch": 0.08215924772938797,
1402
+ "grad_norm": 0.20325441658496857,
1403
+ "learning_rate": 3.144013755408895e-05,
1404
+ "loss": 0.60286283,
1405
+ "memory(GiB)": 12.9,
1406
+ "step": 640,
1407
+ "train_speed(iter/s)": 0.080558
1408
+ },
1409
+ {
1410
+ "acc": 0.83071327,
1411
+ "epoch": 0.08280111685227382,
1412
+ "grad_norm": 0.20148617029190063,
1413
+ "learning_rate": 3.0675041535377405e-05,
1414
+ "loss": 0.58266845,
1415
+ "memory(GiB)": 12.9,
1416
+ "step": 645,
1417
+ "train_speed(iter/s)": 0.080764
1418
+ },
1419
+ {
1420
+ "acc": 0.83186378,
1421
+ "epoch": 0.08344298597515966,
1422
+ "grad_norm": 0.19807127118110657,
1423
+ "learning_rate": 2.991522876735154e-05,
1424
+ "loss": 0.55458455,
1425
+ "memory(GiB)": 12.9,
1426
+ "step": 650,
1427
+ "train_speed(iter/s)": 0.080948
1428
+ },
1429
+ {
1430
+ "epoch": 0.08344298597515966,
1431
+ "eval_acc": 0.8209896385738762,
1432
+ "eval_loss": 0.6076882481575012,
1433
+ "eval_runtime": 194.4544,
1434
+ "eval_samples_per_second": 6.469,
1435
+ "eval_steps_per_second": 6.469,
1436
+ "step": 650
1437
+ },
1438
+ {
1439
+ "acc": 0.82214499,
1440
+ "epoch": 0.0840848550980455,
1441
+ "grad_norm": 0.18806923925876617,
1442
+ "learning_rate": 2.916090697523549e-05,
1443
+ "loss": 0.61260557,
1444
+ "memory(GiB)": 12.9,
1445
+ "step": 655,
1446
+ "train_speed(iter/s)": 0.079195
1447
+ },
1448
+ {
1449
+ "acc": 0.82406235,
1450
+ "epoch": 0.08472672422093135,
1451
+ "grad_norm": 0.19712701439857483,
1452
+ "learning_rate": 2.8412282383075363e-05,
1453
+ "loss": 0.59967513,
1454
+ "memory(GiB)": 12.9,
1455
+ "step": 660,
1456
+ "train_speed(iter/s)": 0.079403
1457
+ },
1458
+ {
1459
+ "acc": 0.80978308,
1460
+ "epoch": 0.08536859334381719,
1461
+ "grad_norm": 0.19845040142536163,
1462
+ "learning_rate": 2.766955965735968e-05,
1463
+ "loss": 0.64144659,
1464
+ "memory(GiB)": 12.9,
1465
+ "step": 665,
1466
+ "train_speed(iter/s)": 0.079587
1467
+ },
1468
+ {
1469
+ "acc": 0.81445723,
1470
+ "epoch": 0.08601046246670303,
1471
+ "grad_norm": 0.21892952919006348,
1472
+ "learning_rate": 2.693294185106562e-05,
1473
+ "loss": 0.62947636,
1474
+ "memory(GiB)": 12.9,
1475
+ "step": 670,
1476
+ "train_speed(iter/s)": 0.079776
1477
+ },
1478
+ {
1479
+ "acc": 0.82742786,
1480
+ "epoch": 0.08665233158958888,
1481
+ "grad_norm": 0.21680107712745667,
1482
+ "learning_rate": 2.6202630348146324e-05,
1483
+ "loss": 0.58508019,
1484
+ "memory(GiB)": 12.9,
1485
+ "step": 675,
1486
+ "train_speed(iter/s)": 0.07997
1487
+ },
1488
+ {
1489
+ "acc": 0.82206249,
1490
+ "epoch": 0.08729420071247472,
1491
+ "grad_norm": 0.19368013739585876,
1492
+ "learning_rate": 2.547882480847461e-05,
1493
+ "loss": 0.60457458,
1494
+ "memory(GiB)": 12.9,
1495
+ "step": 680,
1496
+ "train_speed(iter/s)": 0.080131
1497
+ },
1498
+ {
1499
+ "acc": 0.8187645,
1500
+ "epoch": 0.08793606983536056,
1501
+ "grad_norm": 0.21237029135227203,
1502
+ "learning_rate": 2.476172311325783e-05,
1503
+ "loss": 0.61911306,
1504
+ "memory(GiB)": 12.9,
1505
+ "step": 685,
1506
+ "train_speed(iter/s)": 0.080301
1507
+ },
1508
+ {
1509
+ "acc": 0.81704865,
1510
+ "epoch": 0.08857793895824641,
1511
+ "grad_norm": 0.22553302347660065,
1512
+ "learning_rate": 2.405152131093926e-05,
1513
+ "loss": 0.63167734,
1514
+ "memory(GiB)": 12.9,
1515
+ "step": 690,
1516
+ "train_speed(iter/s)": 0.080481
1517
+ },
1518
+ {
1519
+ "acc": 0.81163187,
1520
+ "epoch": 0.08921980808113225,
1521
+ "grad_norm": 0.21230626106262207,
1522
+ "learning_rate": 2.3348413563600325e-05,
1523
+ "loss": 0.63321238,
1524
+ "memory(GiB)": 12.9,
1525
+ "step": 695,
1526
+ "train_speed(iter/s)": 0.080651
1527
+ },
1528
+ {
1529
+ "acc": 0.81947212,
1530
+ "epoch": 0.0898616772040181,
1531
+ "grad_norm": 0.23210006952285767,
1532
+ "learning_rate": 2.2652592093878666e-05,
1533
+ "loss": 0.61235924,
1534
+ "memory(GiB)": 12.9,
1535
+ "step": 700,
1536
+ "train_speed(iter/s)": 0.08085
1537
+ },
1538
+ {
1539
+ "epoch": 0.0898616772040181,
1540
+ "eval_acc": 0.8203855599214145,
1541
+ "eval_loss": 0.6076461672782898,
1542
+ "eval_runtime": 194.4087,
1543
+ "eval_samples_per_second": 6.471,
1544
+ "eval_steps_per_second": 6.471,
1545
+ "step": 700
1546
+ },
1547
+ {
1548
+ "acc": 0.81527042,
1549
+ "epoch": 0.09050354632690394,
1550
+ "grad_norm": 0.20815226435661316,
1551
+ "learning_rate": 2.196424713241637e-05,
1552
+ "loss": 0.63990374,
1553
+ "memory(GiB)": 12.9,
1554
+ "step": 705,
1555
+ "train_speed(iter/s)": 0.079227
1556
+ },
1557
+ {
1558
+ "acc": 0.82444172,
1559
+ "epoch": 0.09114541544978978,
1560
+ "grad_norm": 0.21324452757835388,
1561
+ "learning_rate": 2.128356686585282e-05,
1562
+ "loss": 0.59049015,
1563
+ "memory(GiB)": 12.9,
1564
+ "step": 710,
1565
+ "train_speed(iter/s)": 0.079404
1566
+ },
1567
+ {
1568
+ "acc": 0.81617746,
1569
+ "epoch": 0.09178728457267563,
1570
+ "grad_norm": 0.19047819077968597,
1571
+ "learning_rate": 2.061073738537635e-05,
1572
+ "loss": 0.60989962,
1573
+ "memory(GiB)": 12.9,
1574
+ "step": 715,
1575
+ "train_speed(iter/s)": 0.079576
1576
+ },
1577
+ {
1578
+ "acc": 0.80728264,
1579
+ "epoch": 0.09242915369556147,
1580
+ "grad_norm": 0.2062956988811493,
1581
+ "learning_rate": 1.9945942635848748e-05,
1582
+ "loss": 0.67080445,
1583
+ "memory(GiB)": 12.9,
1584
+ "step": 720,
1585
+ "train_speed(iter/s)": 0.079742
1586
+ },
1587
+ {
1588
+ "acc": 0.81671677,
1589
+ "epoch": 0.09307102281844731,
1590
+ "grad_norm": 0.19861043989658356,
1591
+ "learning_rate": 1.928936436551661e-05,
1592
+ "loss": 0.61908646,
1593
+ "memory(GiB)": 12.9,
1594
+ "step": 725,
1595
+ "train_speed(iter/s)": 0.079905
1596
+ },
1597
+ {
1598
+ "acc": 0.81090012,
1599
+ "epoch": 0.09371289194133316,
1600
+ "grad_norm": 0.19133475422859192,
1601
+ "learning_rate": 1.8641182076323148e-05,
1602
+ "loss": 0.66370716,
1603
+ "memory(GiB)": 12.9,
1604
+ "step": 730,
1605
+ "train_speed(iter/s)": 0.08006
1606
+ },
1607
+ {
1608
+ "acc": 0.81192856,
1609
+ "epoch": 0.094354761064219,
1610
+ "grad_norm": 0.22429423034191132,
1611
+ "learning_rate": 1.800157297483417e-05,
1612
+ "loss": 0.66476107,
1613
+ "memory(GiB)": 12.9,
1614
+ "step": 735,
1615
+ "train_speed(iter/s)": 0.080239
1616
+ },
1617
+ {
1618
+ "acc": 0.82513466,
1619
+ "epoch": 0.09499663018710484,
1620
+ "grad_norm": 0.21653637290000916,
1621
+ "learning_rate": 1.7370711923791567e-05,
1622
+ "loss": 0.58692684,
1623
+ "memory(GiB)": 12.9,
1624
+ "step": 740,
1625
+ "train_speed(iter/s)": 0.080402
1626
+ },
1627
+ {
1628
+ "acc": 0.82555256,
1629
+ "epoch": 0.09563849930999069,
1630
+ "grad_norm": 0.17780368030071259,
1631
+ "learning_rate": 1.6748771394307585e-05,
1632
+ "loss": 0.57462683,
1633
+ "memory(GiB)": 12.9,
1634
+ "step": 745,
1635
+ "train_speed(iter/s)": 0.080553
1636
+ },
1637
+ {
1638
+ "acc": 0.81813164,
1639
+ "epoch": 0.09628036843287653,
1640
+ "grad_norm": 0.2015465795993805,
1641
+ "learning_rate": 1.6135921418712956e-05,
1642
+ "loss": 0.61962047,
1643
+ "memory(GiB)": 12.9,
1644
+ "step": 750,
1645
+ "train_speed(iter/s)": 0.080707
1646
+ },
1647
+ {
1648
+ "epoch": 0.09628036843287653,
1649
+ "eval_acc": 0.8204207990619473,
1650
+ "eval_loss": 0.6083427667617798,
1651
+ "eval_runtime": 194.7163,
1652
+ "eval_samples_per_second": 6.461,
1653
+ "eval_steps_per_second": 6.461,
1654
+ "step": 750
1655
+ },
1656
+ {
1657
+ "acc": 0.82061501,
1658
+ "epoch": 0.09692223755576237,
1659
+ "grad_norm": 0.2477208524942398,
1660
+ "learning_rate": 1.553232954407171e-05,
1661
+ "loss": 0.61750922,
1662
+ "memory(GiB)": 12.9,
1663
+ "step": 755,
1664
+ "train_speed(iter/s)": 0.079226
1665
+ },
1666
+ {
1667
+ "acc": 0.81846237,
1668
+ "epoch": 0.09756410667864822,
1669
+ "grad_norm": 0.22278401255607605,
1670
+ "learning_rate": 1.4938160786375572e-05,
1671
+ "loss": 0.61280818,
1672
+ "memory(GiB)": 12.9,
1673
+ "step": 760,
1674
+ "train_speed(iter/s)": 0.079391
1675
+ },
1676
+ {
1677
+ "acc": 0.81434851,
1678
+ "epoch": 0.09820597580153406,
1679
+ "grad_norm": 0.22640761733055115,
1680
+ "learning_rate": 1.435357758543015e-05,
1681
+ "loss": 0.63006077,
1682
+ "memory(GiB)": 12.9,
1683
+ "step": 765,
1684
+ "train_speed(iter/s)": 0.079552
1685
+ },
1686
+ {
1687
+ "acc": 0.81086941,
1688
+ "epoch": 0.0988478449244199,
1689
+ "grad_norm": 0.20250476896762848,
1690
+ "learning_rate": 1.3778739760445552e-05,
1691
+ "loss": 0.63865561,
1692
+ "memory(GiB)": 12.9,
1693
+ "step": 770,
1694
+ "train_speed(iter/s)": 0.079713
1695
+ },
1696
+ {
1697
+ "acc": 0.81333466,
1698
+ "epoch": 0.09948971404730575,
1699
+ "grad_norm": 0.21983562409877777,
1700
+ "learning_rate": 1.3213804466343421e-05,
1701
+ "loss": 0.63764729,
1702
+ "memory(GiB)": 12.9,
1703
+ "step": 775,
1704
+ "train_speed(iter/s)": 0.079857
1705
+ },
1706
+ {
1707
+ "acc": 0.81033506,
1708
+ "epoch": 0.1001315831701916,
1709
+ "grad_norm": 0.21427662670612335,
1710
+ "learning_rate": 1.2658926150792322e-05,
1711
+ "loss": 0.62097745,
1712
+ "memory(GiB)": 12.9,
1713
+ "step": 780,
1714
+ "train_speed(iter/s)": 0.080004
1715
+ },
1716
+ {
1717
+ "acc": 0.82130699,
1718
+ "epoch": 0.10077345229307744,
1719
+ "grad_norm": 0.20593635737895966,
1720
+ "learning_rate": 1.2114256511983274e-05,
1721
+ "loss": 0.60655851,
1722
+ "memory(GiB)": 12.9,
1723
+ "step": 785,
1724
+ "train_speed(iter/s)": 0.080173
1725
+ },
1726
+ {
1727
+ "acc": 0.82261295,
1728
+ "epoch": 0.10141532141596328,
1729
+ "grad_norm": 0.2052464336156845,
1730
+ "learning_rate": 1.157994445715706e-05,
1731
+ "loss": 0.61125717,
1732
+ "memory(GiB)": 12.9,
1733
+ "step": 790,
1734
+ "train_speed(iter/s)": 0.080342
1735
+ },
1736
+ {
1737
+ "acc": 0.82531328,
1738
+ "epoch": 0.10205719053884912,
1739
+ "grad_norm": 0.17600791156291962,
1740
+ "learning_rate": 1.1056136061894384e-05,
1741
+ "loss": 0.59510598,
1742
+ "memory(GiB)": 12.9,
1743
+ "step": 795,
1744
+ "train_speed(iter/s)": 0.08049
1745
+ },
1746
+ {
1747
+ "acc": 0.81779881,
1748
+ "epoch": 0.10269905966173497,
1749
+ "grad_norm": 0.2141779363155365,
1750
+ "learning_rate": 1.0542974530180327e-05,
1751
+ "loss": 0.63478656,
1752
+ "memory(GiB)": 12.9,
1753
+ "step": 800,
1754
+ "train_speed(iter/s)": 0.080624
1755
+ },
1756
+ {
1757
+ "epoch": 0.10269905966173497,
1758
+ "eval_acc": 0.8207697400203976,
1759
+ "eval_loss": 0.6077002882957458,
1760
+ "eval_runtime": 194.8773,
1761
+ "eval_samples_per_second": 6.455,
1762
+ "eval_steps_per_second": 6.455,
1763
+ "step": 800
1764
+ },
1765
+ {
1766
+ "acc": 0.80902939,
1767
+ "epoch": 0.10334092878462081,
1768
+ "grad_norm": 0.2090810388326645,
1769
+ "learning_rate": 1.0040600155253765e-05,
1770
+ "loss": 0.66100531,
1771
+ "memory(GiB)": 12.9,
1772
+ "step": 805,
1773
+ "train_speed(iter/s)": 0.079226
1774
+ },
1775
+ {
1776
+ "acc": 0.81437035,
1777
+ "epoch": 0.10398279790750665,
1778
+ "grad_norm": 0.22697587311267853,
1779
+ "learning_rate": 9.549150281252633e-06,
1780
+ "loss": 0.63930345,
1781
+ "memory(GiB)": 12.9,
1782
+ "step": 810,
1783
+ "train_speed(iter/s)": 0.079387
1784
+ },
1785
+ {
1786
+ "acc": 0.81263914,
1787
+ "epoch": 0.1046246670303925,
1788
+ "grad_norm": 0.21495579183101654,
1789
+ "learning_rate": 9.068759265665384e-06,
1790
+ "loss": 0.63128233,
1791
+ "memory(GiB)": 12.9,
1792
+ "step": 815,
1793
+ "train_speed(iter/s)": 0.079538
1794
+ },
1795
+ {
1796
+ "acc": 0.80606184,
1797
+ "epoch": 0.10526653615327834,
1798
+ "grad_norm": 0.24026648700237274,
1799
+ "learning_rate": 8.599558442598998e-06,
1800
+ "loss": 0.66762576,
1801
+ "memory(GiB)": 12.9,
1802
+ "step": 820,
1803
+ "train_speed(iter/s)": 0.07969
1804
+ },
1805
+ {
1806
+ "acc": 0.83144102,
1807
+ "epoch": 0.10590840527616419,
1808
+ "grad_norm": 0.2179374396800995,
1809
+ "learning_rate": 8.141676086873572e-06,
1810
+ "loss": 0.56980219,
1811
+ "memory(GiB)": 12.9,
1812
+ "step": 825,
1813
+ "train_speed(iter/s)": 0.079849
1814
+ },
1815
+ {
1816
+ "acc": 0.81910725,
1817
+ "epoch": 0.10655027439905003,
1818
+ "grad_norm": 0.19496454298496246,
1819
+ "learning_rate": 7.695237378953223e-06,
1820
+ "loss": 0.61694736,
1821
+ "memory(GiB)": 12.9,
1822
+ "step": 830,
1823
+ "train_speed(iter/s)": 0.07997
1824
+ },
1825
+ {
1826
+ "acc": 0.81330662,
1827
+ "epoch": 0.10719214352193587,
1828
+ "grad_norm": 0.23187701404094696,
1829
+ "learning_rate": 7.260364370723044e-06,
1830
+ "loss": 0.64870877,
1831
+ "memory(GiB)": 12.9,
1832
+ "step": 835,
1833
+ "train_speed(iter/s)": 0.080126
1834
+ },
1835
+ {
1836
+ "acc": 0.81870842,
1837
+ "epoch": 0.10783401264482172,
1838
+ "grad_norm": 0.20400239527225494,
1839
+ "learning_rate": 6.837175952121306e-06,
1840
+ "loss": 0.61115222,
1841
+ "memory(GiB)": 12.9,
1842
+ "step": 840,
1843
+ "train_speed(iter/s)": 0.080258
1844
+ },
1845
+ {
1846
+ "acc": 0.82128296,
1847
+ "epoch": 0.10847588176770756,
1848
+ "grad_norm": 0.24608130753040314,
1849
+ "learning_rate": 6.425787818636131e-06,
1850
+ "loss": 0.61838484,
1851
+ "memory(GiB)": 12.9,
1852
+ "step": 845,
1853
+ "train_speed(iter/s)": 0.080422
1854
+ },
1855
+ {
1856
+ "acc": 0.8118104,
1857
+ "epoch": 0.1091177508905934,
1858
+ "grad_norm": 0.21192343533039093,
1859
+ "learning_rate": 6.026312439675552e-06,
1860
+ "loss": 0.67037339,
1861
+ "memory(GiB)": 12.9,
1862
+ "step": 850,
1863
+ "train_speed(iter/s)": 0.080553
1864
+ },
1865
+ {
1866
+ "epoch": 0.1091177508905934,
1867
+ "eval_acc": 0.8208858520874116,
1868
+ "eval_loss": 0.606462836265564,
1869
+ "eval_runtime": 194.9575,
1870
+ "eval_samples_per_second": 6.453,
1871
+ "eval_steps_per_second": 6.453,
1872
+ "step": 850
1873
+ },
1874
+ {
1875
+ "acc": 0.81058187,
1876
+ "epoch": 0.10975962001347925,
1877
+ "grad_norm": 0.2256067544221878,
1878
+ "learning_rate": 5.6388590278194096e-06,
1879
+ "loss": 0.63853312,
1880
+ "memory(GiB)": 12.9,
1881
+ "step": 855,
1882
+ "train_speed(iter/s)": 0.079236
1883
+ },
1884
+ {
1885
+ "acc": 0.8174571,
1886
+ "epoch": 0.11040148913636509,
1887
+ "grad_norm": 0.21500875055789948,
1888
+ "learning_rate": 5.263533508961827e-06,
1889
+ "loss": 0.6172534,
1890
+ "memory(GiB)": 12.9,
1891
+ "step": 860,
1892
+ "train_speed(iter/s)": 0.079369
1893
+ },
1894
+ {
1895
+ "acc": 0.8093504,
1896
+ "epoch": 0.11104335825925093,
1897
+ "grad_norm": 0.23700734972953796,
1898
+ "learning_rate": 4.900438493352055e-06,
1899
+ "loss": 0.65724411,
1900
+ "memory(GiB)": 12.9,
1901
+ "step": 865,
1902
+ "train_speed(iter/s)": 0.07952
1903
+ },
1904
+ {
1905
+ "acc": 0.81735506,
1906
+ "epoch": 0.11168522738213678,
1907
+ "grad_norm": 0.21098878979682922,
1908
+ "learning_rate": 4.549673247541875e-06,
1909
+ "loss": 0.61837373,
1910
+ "memory(GiB)": 12.9,
1911
+ "step": 870,
1912
+ "train_speed(iter/s)": 0.079659
1913
+ },
1914
+ {
1915
+ "acc": 0.81503067,
1916
+ "epoch": 0.11232709650502262,
1917
+ "grad_norm": 0.20609669387340546,
1918
+ "learning_rate": 4.2113336672471245e-06,
1919
+ "loss": 0.61365747,
1920
+ "memory(GiB)": 12.9,
1921
+ "step": 875,
1922
+ "train_speed(iter/s)": 0.079794
1923
+ },
1924
+ {
1925
+ "acc": 0.80629053,
1926
+ "epoch": 0.11296896562790847,
1927
+ "grad_norm": 0.2180800437927246,
1928
+ "learning_rate": 3.885512251130763e-06,
1929
+ "loss": 0.66433964,
1930
+ "memory(GiB)": 12.9,
1931
+ "step": 880,
1932
+ "train_speed(iter/s)": 0.079933
1933
+ },
1934
+ {
1935
+ "acc": 0.82552185,
1936
+ "epoch": 0.11361083475079431,
1937
+ "grad_norm": 0.2074093371629715,
1938
+ "learning_rate": 3.5722980755146517e-06,
1939
+ "loss": 0.5967988,
1940
+ "memory(GiB)": 12.9,
1941
+ "step": 885,
1942
+ "train_speed(iter/s)": 0.080078
1943
+ },
1944
+ {
1945
+ "acc": 0.81032143,
1946
+ "epoch": 0.11425270387368015,
1947
+ "grad_norm": 0.232750803232193,
1948
+ "learning_rate": 3.271776770026963e-06,
1949
+ "loss": 0.66238441,
1950
+ "memory(GiB)": 12.9,
1951
+ "step": 890,
1952
+ "train_speed(iter/s)": 0.080218
1953
+ },
1954
+ {
1955
+ "acc": 0.8156251,
1956
+ "epoch": 0.114894572996566,
1957
+ "grad_norm": 0.24590888619422913,
1958
+ "learning_rate": 2.9840304941919415e-06,
1959
+ "loss": 0.6185041,
1960
+ "memory(GiB)": 12.9,
1961
+ "step": 895,
1962
+ "train_speed(iter/s)": 0.080356
1963
+ },
1964
+ {
1965
+ "acc": 0.81570625,
1966
+ "epoch": 0.11553644211945184,
1967
+ "grad_norm": 0.2058228850364685,
1968
+ "learning_rate": 2.7091379149682685e-06,
1969
+ "loss": 0.61333613,
1970
+ "memory(GiB)": 12.9,
1971
+ "step": 900,
1972
+ "train_speed(iter/s)": 0.080474
1973
+ },
1974
+ {
1975
+ "epoch": 0.11553644211945184,
1976
+ "eval_acc": 0.8202886005724797,
1977
+ "eval_loss": 0.6085067391395569,
1978
+ "eval_runtime": 194.5686,
1979
+ "eval_samples_per_second": 6.466,
1980
+ "eval_steps_per_second": 6.466,
1981
+ "step": 900
1982
+ },
1983
+ {
1984
+ "acc": 0.81097269,
1985
+ "epoch": 0.11617831124233768,
1986
+ "grad_norm": 0.23131993412971497,
1987
+ "learning_rate": 2.4471741852423237e-06,
1988
+ "loss": 0.64109416,
1989
+ "memory(GiB)": 12.9,
1990
+ "step": 905,
1991
+ "train_speed(iter/s)": 0.079218
1992
+ },
1993
+ {
1994
+ "acc": 0.82361622,
1995
+ "epoch": 0.11682018036522353,
1996
+ "grad_norm": 0.18522906303405762,
1997
+ "learning_rate": 2.1982109232821178e-06,
1998
+ "loss": 0.59271107,
1999
+ "memory(GiB)": 12.9,
2000
+ "step": 910,
2001
+ "train_speed(iter/s)": 0.079368
2002
+ },
2003
+ {
2004
+ "acc": 0.81258793,
2005
+ "epoch": 0.11746204948810937,
2006
+ "grad_norm": 0.21756961941719055,
2007
+ "learning_rate": 1.962316193157593e-06,
2008
+ "loss": 0.65264983,
2009
+ "memory(GiB)": 12.9,
2010
+ "step": 915,
2011
+ "train_speed(iter/s)": 0.07951
2012
+ },
2013
+ {
2014
+ "acc": 0.82611704,
2015
+ "epoch": 0.11810391861099521,
2016
+ "grad_norm": 0.20278231799602509,
2017
+ "learning_rate": 1.7395544861325718e-06,
2018
+ "loss": 0.59875569,
2019
+ "memory(GiB)": 12.9,
2020
+ "step": 920,
2021
+ "train_speed(iter/s)": 0.079655
2022
+ },
2023
+ {
2024
+ "acc": 0.82435198,
2025
+ "epoch": 0.11874578773388106,
2026
+ "grad_norm": 0.21583449840545654,
2027
+ "learning_rate": 1.5299867030334814e-06,
2028
+ "loss": 0.62275109,
2029
+ "memory(GiB)": 12.9,
2030
+ "step": 925,
2031
+ "train_speed(iter/s)": 0.079795
2032
+ },
2033
+ {
2034
+ "acc": 0.81717892,
2035
+ "epoch": 0.1193876568567669,
2036
+ "grad_norm": 0.22039002180099487,
2037
+ "learning_rate": 1.333670137599713e-06,
2038
+ "loss": 0.61020494,
2039
+ "memory(GiB)": 12.9,
2040
+ "step": 930,
2041
+ "train_speed(iter/s)": 0.079939
2042
+ },
2043
+ {
2044
+ "acc": 0.80936031,
2045
+ "epoch": 0.12002952597965275,
2046
+ "grad_norm": 0.21585673093795776,
2047
+ "learning_rate": 1.1506584608200367e-06,
2048
+ "loss": 0.63481708,
2049
+ "memory(GiB)": 12.9,
2050
+ "step": 935,
2051
+ "train_speed(iter/s)": 0.080073
2052
+ },
2053
+ {
2054
+ "acc": 0.81828098,
2055
+ "epoch": 0.12067139510253859,
2056
+ "grad_norm": 0.22403886914253235,
2057
+ "learning_rate": 9.810017062595322e-07,
2058
+ "loss": 0.62871428,
2059
+ "memory(GiB)": 12.9,
2060
+ "step": 940,
2061
+ "train_speed(iter/s)": 0.080211
2062
+ },
2063
+ {
2064
+ "acc": 0.82708139,
2065
+ "epoch": 0.12131326422542443,
2066
+ "grad_norm": 0.22789925336837769,
2067
+ "learning_rate": 8.247462563808817e-07,
2068
+ "loss": 0.59829245,
2069
+ "memory(GiB)": 12.9,
2070
+ "step": 945,
2071
+ "train_speed(iter/s)": 0.080336
2072
+ },
2073
+ {
2074
+ "acc": 0.81116629,
2075
+ "epoch": 0.12195513334831028,
2076
+ "grad_norm": 0.22641904652118683,
2077
+ "learning_rate": 6.819348298638839e-07,
2078
+ "loss": 0.629322,
2079
+ "memory(GiB)": 12.9,
2080
+ "step": 950,
2081
+ "train_speed(iter/s)": 0.080481
2082
+ },
2083
+ {
2084
+ "epoch": 0.12195513334831028,
2085
+ "eval_acc": 0.8201861908583086,
2086
+ "eval_loss": 0.6082066297531128,
2087
+ "eval_runtime": 194.2718,
2088
+ "eval_samples_per_second": 6.475,
2089
+ "eval_steps_per_second": 6.475,
2090
+ "step": 950
2091
+ },
2092
+ {
2093
+ "acc": 0.81035719,
2094
+ "epoch": 0.12259700247119612,
2095
+ "grad_norm": 0.21176832914352417,
2096
+ "learning_rate": 5.526064699265753e-07,
2097
+ "loss": 0.65304608,
2098
+ "memory(GiB)": 12.9,
2099
+ "step": 955,
2100
+ "train_speed(iter/s)": 0.079321
2101
+ },
2102
+ {
2103
+ "acc": 0.80980167,
2104
+ "epoch": 0.12323887159408196,
2105
+ "grad_norm": 0.23720386624336243,
2106
+ "learning_rate": 4.367965336512403e-07,
2107
+ "loss": 0.65838566,
2108
+ "memory(GiB)": 12.9,
2109
+ "step": 960,
2110
+ "train_speed(iter/s)": 0.079457
2111
+ },
2112
+ {
2113
+ "acc": 0.81608143,
2114
+ "epoch": 0.12388074071696781,
2115
+ "grad_norm": 0.19302093982696533,
2116
+ "learning_rate": 3.3453668231809286e-07,
2117
+ "loss": 0.64156389,
2118
+ "memory(GiB)": 12.9,
2119
+ "step": 965,
2120
+ "train_speed(iter/s)": 0.079569
2121
+ },
2122
+ {
2123
+ "acc": 0.81429224,
2124
+ "epoch": 0.12452260983985365,
2125
+ "grad_norm": 0.20239369571208954,
2126
+ "learning_rate": 2.458548727494292e-07,
2127
+ "loss": 0.63968878,
2128
+ "memory(GiB)": 12.9,
2129
+ "step": 970,
2130
+ "train_speed(iter/s)": 0.079694
2131
+ },
2132
+ {
2133
+ "acc": 0.80978498,
2134
+ "epoch": 0.1251644789627395,
2135
+ "grad_norm": 0.20085211098194122,
2136
+ "learning_rate": 1.7077534966650766e-07,
2137
+ "loss": 0.65152073,
2138
+ "memory(GiB)": 12.9,
2139
+ "step": 975,
2140
+ "train_speed(iter/s)": 0.079826
2141
+ },
2142
+ {
2143
+ "acc": 0.82283268,
2144
+ "epoch": 0.12580634808562535,
2145
+ "grad_norm": 0.23421017825603485,
2146
+ "learning_rate": 1.0931863906127327e-07,
2147
+ "loss": 0.59241028,
2148
+ "memory(GiB)": 12.9,
2149
+ "step": 980,
2150
+ "train_speed(iter/s)": 0.079952
2151
+ },
2152
+ {
2153
+ "acc": 0.81115065,
2154
+ "epoch": 0.12644821720851118,
2155
+ "grad_norm": 0.19245800375938416,
2156
+ "learning_rate": 6.150154258476315e-08,
2157
+ "loss": 0.64031863,
2158
+ "memory(GiB)": 12.9,
2159
+ "step": 985,
2160
+ "train_speed(iter/s)": 0.080066
2161
+ },
2162
+ {
2163
+ "acc": 0.81750393,
2164
+ "epoch": 0.12709008633139704,
2165
+ "grad_norm": 0.21410977840423584,
2166
+ "learning_rate": 2.7337132953697554e-08,
2167
+ "loss": 0.63289447,
2168
+ "memory(GiB)": 12.9,
2169
+ "step": 990,
2170
+ "train_speed(iter/s)": 0.080194
2171
+ },
2172
+ {
2173
+ "acc": 0.80839672,
2174
+ "epoch": 0.12773195545428287,
2175
+ "grad_norm": 0.24657242000102997,
2176
+ "learning_rate": 6.834750376549792e-09,
2177
+ "loss": 0.67404447,
2178
+ "memory(GiB)": 12.9,
2179
+ "step": 995,
2180
+ "train_speed(iter/s)": 0.080318
2181
+ },
2182
+ {
2183
+ "acc": 0.82744455,
2184
+ "epoch": 0.12837382457716873,
2185
+ "grad_norm": 0.20574873685836792,
2186
+ "learning_rate": 0.0,
2187
+ "loss": 0.58532543,
2188
+ "memory(GiB)": 12.9,
2189
+ "step": 1000,
2190
+ "train_speed(iter/s)": 0.080433
2191
+ },
2192
+ {
2193
+ "epoch": 0.12837382457716873,
2194
+ "eval_acc": 0.8205681371523807,
2195
+ "eval_loss": 0.6072012186050415,
2196
+ "eval_runtime": 194.0316,
2197
+ "eval_samples_per_second": 6.483,
2198
+ "eval_steps_per_second": 6.483,
2199
+ "step": 1000
2200
+ }
2201
+ ],
2202
+ "logging_steps": 5,
2203
+ "max_steps": 1000,
2204
+ "num_input_tokens_seen": 0,
2205
+ "num_train_epochs": 1,
2206
+ "save_steps": 50,
2207
+ "stateful_callbacks": {
2208
+ "TrainerControl": {
2209
+ "args": {
2210
+ "should_epoch_stop": false,
2211
+ "should_evaluate": false,
2212
+ "should_log": false,
2213
+ "should_save": true,
2214
+ "should_training_stop": true
2215
+ },
2216
+ "attributes": {}
2217
+ }
2218
+ },
2219
+ "total_flos": 3.855587826431877e+17,
2220
+ "train_batch_size": 1,
2221
+ "trial_name": null,
2222
+ "trial_params": null
2223
+ }
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-1000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f5ca841f7bd4a855ee575421abc61a664c4a5bac12d5a654d3adfe5e4f1cc45d
3
+ size 7480
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: /home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-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
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/adapter_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "/home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-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": 32,
14
+ "lora_dropout": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": [],
18
+ "peft_type": "LORA",
19
+ "r": 8,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": "^(model.layers|model.vision_embed_tokens.img_projection)(?!.*(lm_head|output|emb|wte|shared)).*",
23
+ "task_type": "CAUSAL_LM",
24
+ "use_dora": false,
25
+ "use_rslora": false
26
+ }
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ed32b9bb4a7994322f82959b3c889e3d5fcf6df641a4cf87d551f2291096bd65
3
+ size 50792328
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/additional_config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"lora_dtype": null, "lorap_lr_ratio": null, "lorap_emb_lr": 1e-06}
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/configuration.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "adapter_cfg": {
3
+ "model_id_or_path": "/home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-instruct",
4
+ "model_revision": "main",
5
+ "sft_type": "lora",
6
+ "tuner_backend": "peft",
7
+ "template_type": "phi3-vl",
8
+ "dtype": "bf16",
9
+ "system": null
10
+ }
11
+ }
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/generation_config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 1,
3
+ "eos_token_id": 32000,
4
+ "max_new_tokens": 2048,
5
+ "pad_token_id": 32000,
6
+ "transformers_version": "4.46.3"
7
+ }
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0d5b36d15d3b4cb5d6ac6c45668dd7a4e234996cf5b5bcfa427d6dcfc9581fe0
3
+ size 100878458
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1f993860293e99c2d3e78d865fcaaf179473939fc9348266d1308c749068004b
3
+ size 14244
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:933907a28d624df5625600b77cfaf69aac83ec99919cf400ec983afa16156fea
3
+ size 1064
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/sft_args.json ADDED
@@ -0,0 +1,246 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "model_type": "phi3_5-vision-instruct",
3
+ "model_id_or_path": "/home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-instruct",
4
+ "model_revision": "main",
5
+ "full_determinism": false,
6
+ "sft_type": "lora",
7
+ "freeze_parameters": [],
8
+ "freeze_vit": false,
9
+ "freeze_parameters_ratio": 0.0,
10
+ "additional_trainable_parameters": [],
11
+ "tuner_backend": "peft",
12
+ "template_type": "phi3-vl",
13
+ "output_dir": "/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713",
14
+ "add_output_dir_suffix": true,
15
+ "ddp_backend": null,
16
+ "ddp_find_unused_parameters": null,
17
+ "ddp_broadcast_buffers": null,
18
+ "ddp_timeout": 1800,
19
+ "seed": 42,
20
+ "resume_from_checkpoint": null,
21
+ "resume_only_model": false,
22
+ "ignore_data_skip": false,
23
+ "dtype": "bf16",
24
+ "packing": false,
25
+ "train_backend": "transformers",
26
+ "tp": 1,
27
+ "pp": 1,
28
+ "min_lr": null,
29
+ "sequence_parallel": false,
30
+ "model_kwargs": {},
31
+ "loss_name": null,
32
+ "dataset": [
33
+ "llamafactory/OpenO1-SFT"
34
+ ],
35
+ "val_dataset": [],
36
+ "dataset_seed": 42,
37
+ "dataset_test_ratio": 0.01,
38
+ "use_loss_scale": false,
39
+ "loss_scale_config_path": "/home/pzcmoe/home/zhc/llama/swift/swift/llm/agent/default_loss_scale_config.json",
40
+ "system": null,
41
+ "tools_prompt": "react_en",
42
+ "max_length": 2048,
43
+ "truncation_strategy": "delete",
44
+ "check_dataset_strategy": "none",
45
+ "streaming": false,
46
+ "streaming_val_size": 0,
47
+ "streaming_buffer_size": 16384,
48
+ "model_name": [
49
+ null,
50
+ null
51
+ ],
52
+ "model_author": [
53
+ null,
54
+ null
55
+ ],
56
+ "quant_method": null,
57
+ "quantization_bit": 0,
58
+ "hqq_axis": 0,
59
+ "hqq_dynamic_config_path": null,
60
+ "bnb_4bit_comp_dtype": "bf16",
61
+ "bnb_4bit_quant_type": "nf4",
62
+ "bnb_4bit_use_double_quant": true,
63
+ "bnb_4bit_quant_storage": null,
64
+ "rescale_image": -1,
65
+ "target_modules": "^(model.layers|model.vision_embed_tokens.img_projection)(?!.*(lm_head|output|emb|wte|shared)).*",
66
+ "target_regex": null,
67
+ "modules_to_save": [],
68
+ "lora_rank": 8,
69
+ "lora_alpha": 32,
70
+ "lora_dropout": 0.05,
71
+ "lora_bias_trainable": "none",
72
+ "lora_dtype": null,
73
+ "lora_lr_ratio": null,
74
+ "use_rslora": false,
75
+ "use_dora": false,
76
+ "init_lora_weights": true,
77
+ "fourier_n_frequency": 2000,
78
+ "fourier_scaling": 300.0,
79
+ "rope_scaling": null,
80
+ "boft_block_size": 4,
81
+ "boft_block_num": 0,
82
+ "boft_n_butterfly_factor": 1,
83
+ "boft_dropout": 0.0,
84
+ "vera_rank": 256,
85
+ "vera_projection_prng_key": 0,
86
+ "vera_dropout": 0.0,
87
+ "vera_d_initial": 0.1,
88
+ "adapter_act": "gelu",
89
+ "adapter_length": 128,
90
+ "use_galore": false,
91
+ "galore_target_modules": null,
92
+ "galore_rank": 128,
93
+ "galore_update_proj_gap": 50,
94
+ "galore_scale": 1.0,
95
+ "galore_proj_type": "std",
96
+ "galore_optim_per_parameter": false,
97
+ "galore_with_embedding": false,
98
+ "galore_quantization": false,
99
+ "galore_proj_quant": false,
100
+ "galore_proj_bits": 4,
101
+ "galore_proj_group_size": 256,
102
+ "galore_cos_threshold": 0.4,
103
+ "galore_gamma_proj": 2,
104
+ "galore_queue_size": 5,
105
+ "adalora_target_r": 8,
106
+ "adalora_init_r": 12,
107
+ "adalora_tinit": 0,
108
+ "adalora_tfinal": 0,
109
+ "adalora_deltaT": 1,
110
+ "adalora_beta1": 0.85,
111
+ "adalora_beta2": 0.85,
112
+ "adalora_orth_reg_weight": 0.5,
113
+ "ia3_feedforward_modules": [],
114
+ "llamapro_num_new_blocks": 4,
115
+ "llamapro_num_groups": null,
116
+ "neftune_noise_alpha": null,
117
+ "neftune_backend": "transformers",
118
+ "lisa_activated_layers": 0,
119
+ "lisa_step_interval": 20,
120
+ "reft_layer_key": null,
121
+ "reft_layers": null,
122
+ "reft_rank": 4,
123
+ "reft_intervention_type": "LoreftIntervention",
124
+ "reft_args": null,
125
+ "use_liger": false,
126
+ "gradient_checkpointing": true,
127
+ "vit_use_gc": true,
128
+ "deepspeed": null,
129
+ "batch_size": 1,
130
+ "eval_batch_size": 1,
131
+ "auto_find_batch_size": false,
132
+ "num_train_epochs": 1,
133
+ "max_steps": 1000,
134
+ "optim": "adamw_torch",
135
+ "adam_beta1": 0.9,
136
+ "adam_beta2": 0.95,
137
+ "adam_epsilon": 1e-08,
138
+ "learning_rate": 0.0001,
139
+ "weight_decay": 0.1,
140
+ "gradient_accumulation_steps": 16,
141
+ "max_grad_norm": 1,
142
+ "predict_with_generate": false,
143
+ "lr_scheduler_type": "cosine",
144
+ "lr_scheduler_kwargs": {},
145
+ "warmup_ratio": 0.05,
146
+ "warmup_steps": 0,
147
+ "eval_steps": 50,
148
+ "save_steps": 50,
149
+ "save_only_model": false,
150
+ "save_total_limit": null,
151
+ "logging_steps": 5,
152
+ "acc_steps": 1,
153
+ "dataloader_num_workers": 1,
154
+ "dataloader_pin_memory": true,
155
+ "dataloader_drop_last": false,
156
+ "push_to_hub": false,
157
+ "hub_model_id": null,
158
+ "hub_token": null,
159
+ "hub_private_repo": false,
160
+ "hub_strategy": "every_save",
161
+ "test_oom_error": false,
162
+ "disable_tqdm": false,
163
+ "lazy_tokenize": true,
164
+ "preprocess_num_proc": 1,
165
+ "use_flash_attn": null,
166
+ "ignore_args_error": false,
167
+ "check_model_is_latest": true,
168
+ "logging_dir": "/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713/runs",
169
+ "report_to": [
170
+ "tensorboard"
171
+ ],
172
+ "acc_strategy": "token",
173
+ "save_on_each_node": false,
174
+ "evaluation_strategy": "steps",
175
+ "save_strategy": "steps",
176
+ "save_safetensors": true,
177
+ "gpu_memory_fraction": null,
178
+ "include_num_input_tokens_seen": false,
179
+ "local_repo_path": null,
180
+ "custom_register_path": null,
181
+ "custom_dataset_info": null,
182
+ "device_map_config": null,
183
+ "device_max_memory": [],
184
+ "max_new_tokens": 2048,
185
+ "do_sample": null,
186
+ "temperature": null,
187
+ "top_k": null,
188
+ "top_p": null,
189
+ "repetition_penalty": null,
190
+ "num_beams": 1,
191
+ "fsdp": "",
192
+ "fsdp_config": null,
193
+ "sequence_parallel_size": 1,
194
+ "model_layer_cls_name": null,
195
+ "metric_warmup_step": 0,
196
+ "fsdp_num": 1,
197
+ "per_device_train_batch_size": null,
198
+ "per_device_eval_batch_size": null,
199
+ "eval_strategy": null,
200
+ "self_cognition_sample": 0,
201
+ "train_dataset_mix_ratio": 0.0,
202
+ "train_dataset_mix_ds": [
203
+ "ms-bench"
204
+ ],
205
+ "train_dataset_sample": -1,
206
+ "val_dataset_sample": null,
207
+ "safe_serialization": null,
208
+ "only_save_model": null,
209
+ "neftune_alpha": null,
210
+ "deepspeed_config_path": null,
211
+ "model_cache_dir": null,
212
+ "lora_dropout_p": null,
213
+ "lora_target_modules": [],
214
+ "lora_target_regex": null,
215
+ "lora_modules_to_save": [],
216
+ "boft_target_modules": [],
217
+ "boft_modules_to_save": [],
218
+ "vera_target_modules": [],
219
+ "vera_modules_to_save": [],
220
+ "ia3_target_modules": [],
221
+ "ia3_modules_to_save": [],
222
+ "custom_train_dataset_path": [],
223
+ "custom_val_dataset_path": [],
224
+ "device_map_config_path": null,
225
+ "push_hub_strategy": null,
226
+ "use_self_cognition": false,
227
+ "is_multimodal": true,
228
+ "is_vision": true,
229
+ "lora_use_embedding": false,
230
+ "lora_use_all": false,
231
+ "lora_m2s_use_embedding": false,
232
+ "lora_m2s_use_ln": false,
233
+ "torch_dtype": "torch.bfloat16",
234
+ "fp16": false,
235
+ "bf16": true,
236
+ "rank": -1,
237
+ "local_rank": -1,
238
+ "world_size": 1,
239
+ "local_world_size": 1,
240
+ "bnb_4bit_compute_dtype": "torch.bfloat16",
241
+ "load_in_4bit": false,
242
+ "load_in_8bit": false,
243
+ "train_sampler_random": true,
244
+ "train_type": "sft",
245
+ "training_args": "Seq2SeqTrainingArguments(output_dir='/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713', overwrite_output_dir=False, do_train=False, do_eval=True, do_predict=False, eval_strategy=<IntervalStrategy.STEPS: 'steps'>, prediction_loss_only=False, per_device_train_batch_size=1, per_device_eval_batch_size=1, per_gpu_train_batch_size=None, per_gpu_eval_batch_size=None, gradient_accumulation_steps=16, eval_accumulation_steps=None, eval_delay=0, torch_empty_cache_steps=None, learning_rate=0.0001, weight_decay=0.1, adam_beta1=0.9, adam_beta2=0.95, adam_epsilon=1e-08, max_grad_norm=1, num_train_epochs=1, max_steps=1000, lr_scheduler_type=<SchedulerType.COSINE: 'cosine'>, lr_scheduler_kwargs={}, warmup_ratio=0.05, warmup_steps=0, log_level='passive', log_level_replica='warning', log_on_each_node=True, logging_dir='/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713/runs', logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_first_step=True, logging_steps=5, logging_nan_inf_filter=True, save_strategy=<IntervalStrategy.STEPS: 'steps'>, save_steps=50, save_total_limit=None, save_safetensors=True, save_on_each_node=False, save_only_model=False, restore_callback_states_from_checkpoint=False, no_cuda=False, use_cpu=False, use_mps_device=False, seed=42, data_seed=42, jit_mode_eval=False, use_ipex=False, bf16=True, fp16=False, fp16_opt_level='O1', half_precision_backend='auto', bf16_full_eval=False, fp16_full_eval=False, tf32=None, local_rank=0, ddp_backend=None, tpu_num_cores=None, tpu_metrics_debug=False, debug=[], dataloader_drop_last=False, eval_steps=50, dataloader_num_workers=1, dataloader_prefetch_factor=None, past_index=-1, run_name='/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713', disable_tqdm=False, remove_unused_columns=False, label_names=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, fsdp=[], fsdp_min_num_params=0, fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, fsdp_transformer_layer_cls_to_wrap=None, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), deepspeed=None, label_smoothing_factor=0.0, optim=<OptimizerNames.ADAMW_TORCH: 'adamw_torch'>, optim_args=None, adafactor=False, group_by_length=False, length_column_name='length', report_to=['tensorboard'], ddp_find_unused_parameters=None, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, dataloader_pin_memory=True, dataloader_persistent_workers=False, skip_memory_metrics=True, use_legacy_prediction_loop=False, push_to_hub=False, resume_from_checkpoint=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_token=None, hub_private_repo=False, hub_always_push=False, gradient_checkpointing=True, gradient_checkpointing_kwargs=None, include_inputs_for_metrics=False, include_for_metrics=[], eval_do_concat_batches=True, fp16_backend='auto', evaluation_strategy=None, push_to_hub_model_id=None, push_to_hub_organization=None, push_to_hub_token=None, mp_parameters='', auto_find_batch_size=False, full_determinism=False, torchdynamo=None, ray_scope='last', ddp_timeout=1800, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, dispatch_batches=None, split_batches=None, include_tokens_per_second=False, include_num_input_tokens_seen=False, neftune_noise_alpha=None, optim_target_modules=None, batch_eval_metrics=False, eval_on_start=False, use_liger_kernel=False, eval_use_gather_object=False, average_tokens_across_devices=False, sortish_sampler=False, predict_with_generate=False, generation_max_length=None, generation_num_beams=None, generation_config=GenerationConfig {\n \"bos_token_id\": 1,\n \"eos_token_id\": 32000,\n \"max_new_tokens\": 2048,\n \"pad_token_id\": 32000\n}\n, acc_strategy='token', loss_name=None, additional_saved_files=[], train_sampler_random=True, metric_warmup_step=0, train_dataset_sample=-1)"
246
+ }
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/trainer_state.json ADDED
@@ -0,0 +1,370 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.63503182,
3
+ "best_model_checkpoint": "/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150",
4
+ "epoch": 0.019256073686575306,
5
+ "eval_steps": 50,
6
+ "global_step": 150,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "acc": 0.77952504,
13
+ "epoch": 0.0001283738245771687,
14
+ "grad_norm": 0.15511861443519592,
15
+ "learning_rate": 2.0000000000000003e-06,
16
+ "loss": 0.82634771,
17
+ "memory(GiB)": 11.42,
18
+ "step": 1,
19
+ "train_speed(iter/s)": 0.092016
20
+ },
21
+ {
22
+ "acc": 0.77674872,
23
+ "epoch": 0.0006418691228858435,
24
+ "grad_norm": 0.14591480791568756,
25
+ "learning_rate": 1e-05,
26
+ "loss": 0.8159712,
27
+ "memory(GiB)": 12.15,
28
+ "step": 5,
29
+ "train_speed(iter/s)": 0.10552
30
+ },
31
+ {
32
+ "acc": 0.77379012,
33
+ "epoch": 0.001283738245771687,
34
+ "grad_norm": 0.151850163936615,
35
+ "learning_rate": 2e-05,
36
+ "loss": 0.8015564,
37
+ "memory(GiB)": 12.15,
38
+ "step": 10,
39
+ "train_speed(iter/s)": 0.107013
40
+ },
41
+ {
42
+ "acc": 0.7784133,
43
+ "epoch": 0.0019256073686575307,
44
+ "grad_norm": 0.15997682511806488,
45
+ "learning_rate": 3e-05,
46
+ "loss": 0.79284344,
47
+ "memory(GiB)": 12.15,
48
+ "step": 15,
49
+ "train_speed(iter/s)": 0.110995
50
+ },
51
+ {
52
+ "acc": 0.7815052,
53
+ "epoch": 0.002567476491543374,
54
+ "grad_norm": 0.14427673816680908,
55
+ "learning_rate": 4e-05,
56
+ "loss": 0.78122258,
57
+ "memory(GiB)": 12.9,
58
+ "step": 20,
59
+ "train_speed(iter/s)": 0.111462
60
+ },
61
+ {
62
+ "acc": 0.7915082,
63
+ "epoch": 0.0032093456144292177,
64
+ "grad_norm": 0.1590222716331482,
65
+ "learning_rate": 5e-05,
66
+ "loss": 0.7404335,
67
+ "memory(GiB)": 12.9,
68
+ "step": 25,
69
+ "train_speed(iter/s)": 0.112268
70
+ },
71
+ {
72
+ "acc": 0.80291214,
73
+ "epoch": 0.0038512147373150614,
74
+ "grad_norm": 0.13638992607593536,
75
+ "learning_rate": 6e-05,
76
+ "loss": 0.68063788,
77
+ "memory(GiB)": 12.9,
78
+ "step": 30,
79
+ "train_speed(iter/s)": 0.111517
80
+ },
81
+ {
82
+ "acc": 0.79923964,
83
+ "epoch": 0.0044930838602009054,
84
+ "grad_norm": 0.1271245777606964,
85
+ "learning_rate": 7e-05,
86
+ "loss": 0.68800621,
87
+ "memory(GiB)": 12.9,
88
+ "step": 35,
89
+ "train_speed(iter/s)": 0.110574
90
+ },
91
+ {
92
+ "acc": 0.80240812,
93
+ "epoch": 0.005134952983086748,
94
+ "grad_norm": 0.11937133222818375,
95
+ "learning_rate": 8e-05,
96
+ "loss": 0.69939818,
97
+ "memory(GiB)": 12.9,
98
+ "step": 40,
99
+ "train_speed(iter/s)": 0.109469
100
+ },
101
+ {
102
+ "acc": 0.78317132,
103
+ "epoch": 0.005776822105972592,
104
+ "grad_norm": 0.1665358543395996,
105
+ "learning_rate": 9e-05,
106
+ "loss": 0.75735736,
107
+ "memory(GiB)": 12.9,
108
+ "step": 45,
109
+ "train_speed(iter/s)": 0.108968
110
+ },
111
+ {
112
+ "acc": 0.80379133,
113
+ "epoch": 0.0064186912288584355,
114
+ "grad_norm": 0.14883440732955933,
115
+ "learning_rate": 0.0001,
116
+ "loss": 0.6824338,
117
+ "memory(GiB)": 12.9,
118
+ "step": 50,
119
+ "train_speed(iter/s)": 0.109163
120
+ },
121
+ {
122
+ "epoch": 0.0064186912288584355,
123
+ "eval_acc": 0.8081346555994846,
124
+ "eval_loss": 0.6729312539100647,
125
+ "eval_runtime": 195.4613,
126
+ "eval_samples_per_second": 6.436,
127
+ "eval_steps_per_second": 6.436,
128
+ "step": 50
129
+ },
130
+ {
131
+ "acc": 0.7984889,
132
+ "epoch": 0.007060560351744279,
133
+ "grad_norm": 0.16687534749507904,
134
+ "learning_rate": 9.999316524962345e-05,
135
+ "loss": 0.7141089,
136
+ "memory(GiB)": 12.9,
137
+ "step": 55,
138
+ "train_speed(iter/s)": 0.078646
139
+ },
140
+ {
141
+ "acc": 0.79216175,
142
+ "epoch": 0.007702429474630123,
143
+ "grad_norm": 0.17546051740646362,
144
+ "learning_rate": 9.997266286704631e-05,
145
+ "loss": 0.72419305,
146
+ "memory(GiB)": 12.9,
147
+ "step": 60,
148
+ "train_speed(iter/s)": 0.080466
149
+ },
150
+ {
151
+ "acc": 0.80358973,
152
+ "epoch": 0.008344298597515967,
153
+ "grad_norm": 0.16079305112361908,
154
+ "learning_rate": 9.993849845741524e-05,
155
+ "loss": 0.67717872,
156
+ "memory(GiB)": 12.9,
157
+ "step": 65,
158
+ "train_speed(iter/s)": 0.082252
159
+ },
160
+ {
161
+ "acc": 0.80615339,
162
+ "epoch": 0.008986167720401811,
163
+ "grad_norm": 0.1396234929561615,
164
+ "learning_rate": 9.989068136093873e-05,
165
+ "loss": 0.70638905,
166
+ "memory(GiB)": 12.9,
167
+ "step": 70,
168
+ "train_speed(iter/s)": 0.084
169
+ },
170
+ {
171
+ "acc": 0.79676814,
172
+ "epoch": 0.009628036843287653,
173
+ "grad_norm": 0.1340462565422058,
174
+ "learning_rate": 9.98292246503335e-05,
175
+ "loss": 0.71420946,
176
+ "memory(GiB)": 12.9,
177
+ "step": 75,
178
+ "train_speed(iter/s)": 0.08542
179
+ },
180
+ {
181
+ "acc": 0.79325166,
182
+ "epoch": 0.010269905966173496,
183
+ "grad_norm": 0.13259001076221466,
184
+ "learning_rate": 9.975414512725057e-05,
185
+ "loss": 0.71777782,
186
+ "memory(GiB)": 12.9,
187
+ "step": 80,
188
+ "train_speed(iter/s)": 0.086655
189
+ },
190
+ {
191
+ "acc": 0.81705523,
192
+ "epoch": 0.01091177508905934,
193
+ "grad_norm": 0.15833652019500732,
194
+ "learning_rate": 9.966546331768191e-05,
195
+ "loss": 0.62526927,
196
+ "memory(GiB)": 12.9,
197
+ "step": 85,
198
+ "train_speed(iter/s)": 0.088014
199
+ },
200
+ {
201
+ "acc": 0.80851898,
202
+ "epoch": 0.011553644211945184,
203
+ "grad_norm": 0.1456330418586731,
204
+ "learning_rate": 9.956320346634876e-05,
205
+ "loss": 0.68010745,
206
+ "memory(GiB)": 12.9,
207
+ "step": 90,
208
+ "train_speed(iter/s)": 0.088941
209
+ },
210
+ {
211
+ "acc": 0.81903477,
212
+ "epoch": 0.012195513334831027,
213
+ "grad_norm": 0.14285945892333984,
214
+ "learning_rate": 9.944739353007344e-05,
215
+ "loss": 0.6090106,
216
+ "memory(GiB)": 12.9,
217
+ "step": 95,
218
+ "train_speed(iter/s)": 0.089902
219
+ },
220
+ {
221
+ "acc": 0.82483721,
222
+ "epoch": 0.012837382457716871,
223
+ "grad_norm": 0.1478744000196457,
224
+ "learning_rate": 9.931806517013612e-05,
225
+ "loss": 0.59807158,
226
+ "memory(GiB)": 12.9,
227
+ "step": 100,
228
+ "train_speed(iter/s)": 0.090663
229
+ },
230
+ {
231
+ "epoch": 0.012837382457716871,
232
+ "eval_acc": 0.813768508772143,
233
+ "eval_loss": 0.645352840423584,
234
+ "eval_runtime": 195.755,
235
+ "eval_samples_per_second": 6.426,
236
+ "eval_steps_per_second": 6.426,
237
+ "step": 100
238
+ },
239
+ {
240
+ "acc": 0.80671978,
241
+ "epoch": 0.013479251580602715,
242
+ "grad_norm": 0.15444877743721008,
243
+ "learning_rate": 9.917525374361912e-05,
244
+ "loss": 0.66537051,
245
+ "memory(GiB)": 12.9,
246
+ "step": 105,
247
+ "train_speed(iter/s)": 0.078062
248
+ },
249
+ {
250
+ "acc": 0.81962786,
251
+ "epoch": 0.014121120703488558,
252
+ "grad_norm": 0.16826578974723816,
253
+ "learning_rate": 9.901899829374047e-05,
254
+ "loss": 0.60835891,
255
+ "memory(GiB)": 12.9,
256
+ "step": 110,
257
+ "train_speed(iter/s)": 0.079089
258
+ },
259
+ {
260
+ "acc": 0.80644588,
261
+ "epoch": 0.014762989826374402,
262
+ "grad_norm": 0.1519591063261032,
263
+ "learning_rate": 9.884934153917997e-05,
264
+ "loss": 0.66763787,
265
+ "memory(GiB)": 12.9,
266
+ "step": 115,
267
+ "train_speed(iter/s)": 0.08012
268
+ },
269
+ {
270
+ "acc": 0.8235981,
271
+ "epoch": 0.015404858949260246,
272
+ "grad_norm": 0.20040030777454376,
273
+ "learning_rate": 9.86663298624003e-05,
274
+ "loss": 0.5919826,
275
+ "memory(GiB)": 12.9,
276
+ "step": 120,
277
+ "train_speed(iter/s)": 0.081125
278
+ },
279
+ {
280
+ "acc": 0.81199884,
281
+ "epoch": 0.01604672807214609,
282
+ "grad_norm": 0.1842738389968872,
283
+ "learning_rate": 9.847001329696653e-05,
284
+ "loss": 0.63266978,
285
+ "memory(GiB)": 12.9,
286
+ "step": 125,
287
+ "train_speed(iter/s)": 0.082093
288
+ },
289
+ {
290
+ "acc": 0.81563005,
291
+ "epoch": 0.016688597195031935,
292
+ "grad_norm": 0.15375380218029022,
293
+ "learning_rate": 9.826044551386744e-05,
294
+ "loss": 0.61709371,
295
+ "memory(GiB)": 12.9,
296
+ "step": 130,
297
+ "train_speed(iter/s)": 0.082937
298
+ },
299
+ {
300
+ "acc": 0.80918331,
301
+ "epoch": 0.017330466317917778,
302
+ "grad_norm": 0.14841115474700928,
303
+ "learning_rate": 9.803768380684242e-05,
304
+ "loss": 0.63595695,
305
+ "memory(GiB)": 12.9,
306
+ "step": 135,
307
+ "train_speed(iter/s)": 0.083738
308
+ },
309
+ {
310
+ "acc": 0.81229877,
311
+ "epoch": 0.017972335440803622,
312
+ "grad_norm": 0.16627077758312225,
313
+ "learning_rate": 9.780178907671789e-05,
314
+ "loss": 0.64757662,
315
+ "memory(GiB)": 12.9,
316
+ "step": 140,
317
+ "train_speed(iter/s)": 0.084642
318
+ },
319
+ {
320
+ "acc": 0.804142,
321
+ "epoch": 0.018614204563689465,
322
+ "grad_norm": 0.1714244931936264,
323
+ "learning_rate": 9.755282581475769e-05,
324
+ "loss": 0.6832706,
325
+ "memory(GiB)": 12.9,
326
+ "step": 145,
327
+ "train_speed(iter/s)": 0.085406
328
+ },
329
+ {
330
+ "acc": 0.79688311,
331
+ "epoch": 0.019256073686575306,
332
+ "grad_norm": 0.18916593492031097,
333
+ "learning_rate": 9.729086208503174e-05,
334
+ "loss": 0.70668921,
335
+ "memory(GiB)": 12.9,
336
+ "step": 150,
337
+ "train_speed(iter/s)": 0.086183
338
+ },
339
+ {
340
+ "epoch": 0.019256073686575306,
341
+ "eval_acc": 0.8153510047395746,
342
+ "eval_loss": 0.6350318193435669,
343
+ "eval_runtime": 196.0265,
344
+ "eval_samples_per_second": 6.417,
345
+ "eval_steps_per_second": 6.417,
346
+ "step": 150
347
+ }
348
+ ],
349
+ "logging_steps": 5,
350
+ "max_steps": 1000,
351
+ "num_input_tokens_seen": 0,
352
+ "num_train_epochs": 1,
353
+ "save_steps": 50,
354
+ "stateful_callbacks": {
355
+ "TrainerControl": {
356
+ "args": {
357
+ "should_epoch_stop": false,
358
+ "should_evaluate": false,
359
+ "should_log": false,
360
+ "should_save": true,
361
+ "should_training_stop": false
362
+ },
363
+ "attributes": {}
364
+ }
365
+ },
366
+ "total_flos": 5.844637904195174e+16,
367
+ "train_batch_size": 1,
368
+ "trial_name": null,
369
+ "trial_params": null
370
+ }
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-150/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f5ca841f7bd4a855ee575421abc61a664c4a5bac12d5a654d3adfe5e4f1cc45d
3
+ size 7480
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: /home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-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
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/adapter_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "/home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-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": 32,
14
+ "lora_dropout": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": [],
18
+ "peft_type": "LORA",
19
+ "r": 8,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": "^(model.layers|model.vision_embed_tokens.img_projection)(?!.*(lm_head|output|emb|wte|shared)).*",
23
+ "task_type": "CAUSAL_LM",
24
+ "use_dora": false,
25
+ "use_rslora": false
26
+ }
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d844e37c92e6154fc82860952fa7e91a623164af249cd9e431e3f7e2028e23d4
3
+ size 50792328
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/additional_config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"lora_dtype": null, "lorap_lr_ratio": null, "lorap_emb_lr": 1e-06}
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/configuration.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "adapter_cfg": {
3
+ "model_id_or_path": "/home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-instruct",
4
+ "model_revision": "main",
5
+ "sft_type": "lora",
6
+ "tuner_backend": "peft",
7
+ "template_type": "phi3-vl",
8
+ "dtype": "bf16",
9
+ "system": null
10
+ }
11
+ }
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/generation_config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 1,
3
+ "eos_token_id": 32000,
4
+ "max_new_tokens": 2048,
5
+ "pad_token_id": 32000,
6
+ "transformers_version": "4.46.3"
7
+ }
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1711fa8982f5b6fa02df8213057cc9e18d11d7fa2d89a4fc9aa20d86d7790023
3
+ size 100878458
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ab89609811018c79003d804395390bda2de480fa77651cf4c7d56ad6035a26f0
3
+ size 14244
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:990a1cf86aba2c4ef745bb4fd8a9b7f25fcd3e01d84b539560e7d0b4ac6b96da
3
+ size 1064
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/sft_args.json ADDED
@@ -0,0 +1,246 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "model_type": "phi3_5-vision-instruct",
3
+ "model_id_or_path": "/home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-instruct",
4
+ "model_revision": "main",
5
+ "full_determinism": false,
6
+ "sft_type": "lora",
7
+ "freeze_parameters": [],
8
+ "freeze_vit": false,
9
+ "freeze_parameters_ratio": 0.0,
10
+ "additional_trainable_parameters": [],
11
+ "tuner_backend": "peft",
12
+ "template_type": "phi3-vl",
13
+ "output_dir": "/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713",
14
+ "add_output_dir_suffix": true,
15
+ "ddp_backend": null,
16
+ "ddp_find_unused_parameters": null,
17
+ "ddp_broadcast_buffers": null,
18
+ "ddp_timeout": 1800,
19
+ "seed": 42,
20
+ "resume_from_checkpoint": null,
21
+ "resume_only_model": false,
22
+ "ignore_data_skip": false,
23
+ "dtype": "bf16",
24
+ "packing": false,
25
+ "train_backend": "transformers",
26
+ "tp": 1,
27
+ "pp": 1,
28
+ "min_lr": null,
29
+ "sequence_parallel": false,
30
+ "model_kwargs": {},
31
+ "loss_name": null,
32
+ "dataset": [
33
+ "llamafactory/OpenO1-SFT"
34
+ ],
35
+ "val_dataset": [],
36
+ "dataset_seed": 42,
37
+ "dataset_test_ratio": 0.01,
38
+ "use_loss_scale": false,
39
+ "loss_scale_config_path": "/home/pzcmoe/home/zhc/llama/swift/swift/llm/agent/default_loss_scale_config.json",
40
+ "system": null,
41
+ "tools_prompt": "react_en",
42
+ "max_length": 2048,
43
+ "truncation_strategy": "delete",
44
+ "check_dataset_strategy": "none",
45
+ "streaming": false,
46
+ "streaming_val_size": 0,
47
+ "streaming_buffer_size": 16384,
48
+ "model_name": [
49
+ null,
50
+ null
51
+ ],
52
+ "model_author": [
53
+ null,
54
+ null
55
+ ],
56
+ "quant_method": null,
57
+ "quantization_bit": 0,
58
+ "hqq_axis": 0,
59
+ "hqq_dynamic_config_path": null,
60
+ "bnb_4bit_comp_dtype": "bf16",
61
+ "bnb_4bit_quant_type": "nf4",
62
+ "bnb_4bit_use_double_quant": true,
63
+ "bnb_4bit_quant_storage": null,
64
+ "rescale_image": -1,
65
+ "target_modules": "^(model.layers|model.vision_embed_tokens.img_projection)(?!.*(lm_head|output|emb|wte|shared)).*",
66
+ "target_regex": null,
67
+ "modules_to_save": [],
68
+ "lora_rank": 8,
69
+ "lora_alpha": 32,
70
+ "lora_dropout": 0.05,
71
+ "lora_bias_trainable": "none",
72
+ "lora_dtype": null,
73
+ "lora_lr_ratio": null,
74
+ "use_rslora": false,
75
+ "use_dora": false,
76
+ "init_lora_weights": true,
77
+ "fourier_n_frequency": 2000,
78
+ "fourier_scaling": 300.0,
79
+ "rope_scaling": null,
80
+ "boft_block_size": 4,
81
+ "boft_block_num": 0,
82
+ "boft_n_butterfly_factor": 1,
83
+ "boft_dropout": 0.0,
84
+ "vera_rank": 256,
85
+ "vera_projection_prng_key": 0,
86
+ "vera_dropout": 0.0,
87
+ "vera_d_initial": 0.1,
88
+ "adapter_act": "gelu",
89
+ "adapter_length": 128,
90
+ "use_galore": false,
91
+ "galore_target_modules": null,
92
+ "galore_rank": 128,
93
+ "galore_update_proj_gap": 50,
94
+ "galore_scale": 1.0,
95
+ "galore_proj_type": "std",
96
+ "galore_optim_per_parameter": false,
97
+ "galore_with_embedding": false,
98
+ "galore_quantization": false,
99
+ "galore_proj_quant": false,
100
+ "galore_proj_bits": 4,
101
+ "galore_proj_group_size": 256,
102
+ "galore_cos_threshold": 0.4,
103
+ "galore_gamma_proj": 2,
104
+ "galore_queue_size": 5,
105
+ "adalora_target_r": 8,
106
+ "adalora_init_r": 12,
107
+ "adalora_tinit": 0,
108
+ "adalora_tfinal": 0,
109
+ "adalora_deltaT": 1,
110
+ "adalora_beta1": 0.85,
111
+ "adalora_beta2": 0.85,
112
+ "adalora_orth_reg_weight": 0.5,
113
+ "ia3_feedforward_modules": [],
114
+ "llamapro_num_new_blocks": 4,
115
+ "llamapro_num_groups": null,
116
+ "neftune_noise_alpha": null,
117
+ "neftune_backend": "transformers",
118
+ "lisa_activated_layers": 0,
119
+ "lisa_step_interval": 20,
120
+ "reft_layer_key": null,
121
+ "reft_layers": null,
122
+ "reft_rank": 4,
123
+ "reft_intervention_type": "LoreftIntervention",
124
+ "reft_args": null,
125
+ "use_liger": false,
126
+ "gradient_checkpointing": true,
127
+ "vit_use_gc": true,
128
+ "deepspeed": null,
129
+ "batch_size": 1,
130
+ "eval_batch_size": 1,
131
+ "auto_find_batch_size": false,
132
+ "num_train_epochs": 1,
133
+ "max_steps": 1000,
134
+ "optim": "adamw_torch",
135
+ "adam_beta1": 0.9,
136
+ "adam_beta2": 0.95,
137
+ "adam_epsilon": 1e-08,
138
+ "learning_rate": 0.0001,
139
+ "weight_decay": 0.1,
140
+ "gradient_accumulation_steps": 16,
141
+ "max_grad_norm": 1,
142
+ "predict_with_generate": false,
143
+ "lr_scheduler_type": "cosine",
144
+ "lr_scheduler_kwargs": {},
145
+ "warmup_ratio": 0.05,
146
+ "warmup_steps": 0,
147
+ "eval_steps": 50,
148
+ "save_steps": 50,
149
+ "save_only_model": false,
150
+ "save_total_limit": null,
151
+ "logging_steps": 5,
152
+ "acc_steps": 1,
153
+ "dataloader_num_workers": 1,
154
+ "dataloader_pin_memory": true,
155
+ "dataloader_drop_last": false,
156
+ "push_to_hub": false,
157
+ "hub_model_id": null,
158
+ "hub_token": null,
159
+ "hub_private_repo": false,
160
+ "hub_strategy": "every_save",
161
+ "test_oom_error": false,
162
+ "disable_tqdm": false,
163
+ "lazy_tokenize": true,
164
+ "preprocess_num_proc": 1,
165
+ "use_flash_attn": null,
166
+ "ignore_args_error": false,
167
+ "check_model_is_latest": true,
168
+ "logging_dir": "/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713/runs",
169
+ "report_to": [
170
+ "tensorboard"
171
+ ],
172
+ "acc_strategy": "token",
173
+ "save_on_each_node": false,
174
+ "evaluation_strategy": "steps",
175
+ "save_strategy": "steps",
176
+ "save_safetensors": true,
177
+ "gpu_memory_fraction": null,
178
+ "include_num_input_tokens_seen": false,
179
+ "local_repo_path": null,
180
+ "custom_register_path": null,
181
+ "custom_dataset_info": null,
182
+ "device_map_config": null,
183
+ "device_max_memory": [],
184
+ "max_new_tokens": 2048,
185
+ "do_sample": null,
186
+ "temperature": null,
187
+ "top_k": null,
188
+ "top_p": null,
189
+ "repetition_penalty": null,
190
+ "num_beams": 1,
191
+ "fsdp": "",
192
+ "fsdp_config": null,
193
+ "sequence_parallel_size": 1,
194
+ "model_layer_cls_name": null,
195
+ "metric_warmup_step": 0,
196
+ "fsdp_num": 1,
197
+ "per_device_train_batch_size": null,
198
+ "per_device_eval_batch_size": null,
199
+ "eval_strategy": null,
200
+ "self_cognition_sample": 0,
201
+ "train_dataset_mix_ratio": 0.0,
202
+ "train_dataset_mix_ds": [
203
+ "ms-bench"
204
+ ],
205
+ "train_dataset_sample": -1,
206
+ "val_dataset_sample": null,
207
+ "safe_serialization": null,
208
+ "only_save_model": null,
209
+ "neftune_alpha": null,
210
+ "deepspeed_config_path": null,
211
+ "model_cache_dir": null,
212
+ "lora_dropout_p": null,
213
+ "lora_target_modules": [],
214
+ "lora_target_regex": null,
215
+ "lora_modules_to_save": [],
216
+ "boft_target_modules": [],
217
+ "boft_modules_to_save": [],
218
+ "vera_target_modules": [],
219
+ "vera_modules_to_save": [],
220
+ "ia3_target_modules": [],
221
+ "ia3_modules_to_save": [],
222
+ "custom_train_dataset_path": [],
223
+ "custom_val_dataset_path": [],
224
+ "device_map_config_path": null,
225
+ "push_hub_strategy": null,
226
+ "use_self_cognition": false,
227
+ "is_multimodal": true,
228
+ "is_vision": true,
229
+ "lora_use_embedding": false,
230
+ "lora_use_all": false,
231
+ "lora_m2s_use_embedding": false,
232
+ "lora_m2s_use_ln": false,
233
+ "torch_dtype": "torch.bfloat16",
234
+ "fp16": false,
235
+ "bf16": true,
236
+ "rank": -1,
237
+ "local_rank": -1,
238
+ "world_size": 1,
239
+ "local_world_size": 1,
240
+ "bnb_4bit_compute_dtype": "torch.bfloat16",
241
+ "load_in_4bit": false,
242
+ "load_in_8bit": false,
243
+ "train_sampler_random": true,
244
+ "train_type": "sft",
245
+ "training_args": "Seq2SeqTrainingArguments(output_dir='/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713', overwrite_output_dir=False, do_train=False, do_eval=True, do_predict=False, eval_strategy=<IntervalStrategy.STEPS: 'steps'>, prediction_loss_only=False, per_device_train_batch_size=1, per_device_eval_batch_size=1, per_gpu_train_batch_size=None, per_gpu_eval_batch_size=None, gradient_accumulation_steps=16, eval_accumulation_steps=None, eval_delay=0, torch_empty_cache_steps=None, learning_rate=0.0001, weight_decay=0.1, adam_beta1=0.9, adam_beta2=0.95, adam_epsilon=1e-08, max_grad_norm=1, num_train_epochs=1, max_steps=1000, lr_scheduler_type=<SchedulerType.COSINE: 'cosine'>, lr_scheduler_kwargs={}, warmup_ratio=0.05, warmup_steps=0, log_level='passive', log_level_replica='warning', log_on_each_node=True, logging_dir='/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713/runs', logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_first_step=True, logging_steps=5, logging_nan_inf_filter=True, save_strategy=<IntervalStrategy.STEPS: 'steps'>, save_steps=50, save_total_limit=None, save_safetensors=True, save_on_each_node=False, save_only_model=False, restore_callback_states_from_checkpoint=False, no_cuda=False, use_cpu=False, use_mps_device=False, seed=42, data_seed=42, jit_mode_eval=False, use_ipex=False, bf16=True, fp16=False, fp16_opt_level='O1', half_precision_backend='auto', bf16_full_eval=False, fp16_full_eval=False, tf32=None, local_rank=0, ddp_backend=None, tpu_num_cores=None, tpu_metrics_debug=False, debug=[], dataloader_drop_last=False, eval_steps=50, dataloader_num_workers=1, dataloader_prefetch_factor=None, past_index=-1, run_name='/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713', disable_tqdm=False, remove_unused_columns=False, label_names=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, fsdp=[], fsdp_min_num_params=0, fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, fsdp_transformer_layer_cls_to_wrap=None, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), deepspeed=None, label_smoothing_factor=0.0, optim=<OptimizerNames.ADAMW_TORCH: 'adamw_torch'>, optim_args=None, adafactor=False, group_by_length=False, length_column_name='length', report_to=['tensorboard'], ddp_find_unused_parameters=None, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, dataloader_pin_memory=True, dataloader_persistent_workers=False, skip_memory_metrics=True, use_legacy_prediction_loop=False, push_to_hub=False, resume_from_checkpoint=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_token=None, hub_private_repo=False, hub_always_push=False, gradient_checkpointing=True, gradient_checkpointing_kwargs=None, include_inputs_for_metrics=False, include_for_metrics=[], eval_do_concat_batches=True, fp16_backend='auto', evaluation_strategy=None, push_to_hub_model_id=None, push_to_hub_organization=None, push_to_hub_token=None, mp_parameters='', auto_find_batch_size=False, full_determinism=False, torchdynamo=None, ray_scope='last', ddp_timeout=1800, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, dispatch_batches=None, split_batches=None, include_tokens_per_second=False, include_num_input_tokens_seen=False, neftune_noise_alpha=None, optim_target_modules=None, batch_eval_metrics=False, eval_on_start=False, use_liger_kernel=False, eval_use_gather_object=False, average_tokens_across_devices=False, sortish_sampler=False, predict_with_generate=False, generation_max_length=None, generation_num_beams=None, generation_config=GenerationConfig {\n \"bos_token_id\": 1,\n \"eos_token_id\": 32000,\n \"max_new_tokens\": 2048,\n \"pad_token_id\": 32000\n}\n, acc_strategy='token', loss_name=None, additional_saved_files=[], train_sampler_random=True, metric_warmup_step=0, train_dataset_sample=-1)"
246
+ }
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/trainer_state.json ADDED
@@ -0,0 +1,479 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.6316511,
3
+ "best_model_checkpoint": "/home/pzcmoe/home/zhc/llama/output/phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200",
4
+ "epoch": 0.025674764915433742,
5
+ "eval_steps": 50,
6
+ "global_step": 200,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "acc": 0.77952504,
13
+ "epoch": 0.0001283738245771687,
14
+ "grad_norm": 0.15511861443519592,
15
+ "learning_rate": 2.0000000000000003e-06,
16
+ "loss": 0.82634771,
17
+ "memory(GiB)": 11.42,
18
+ "step": 1,
19
+ "train_speed(iter/s)": 0.092016
20
+ },
21
+ {
22
+ "acc": 0.77674872,
23
+ "epoch": 0.0006418691228858435,
24
+ "grad_norm": 0.14591480791568756,
25
+ "learning_rate": 1e-05,
26
+ "loss": 0.8159712,
27
+ "memory(GiB)": 12.15,
28
+ "step": 5,
29
+ "train_speed(iter/s)": 0.10552
30
+ },
31
+ {
32
+ "acc": 0.77379012,
33
+ "epoch": 0.001283738245771687,
34
+ "grad_norm": 0.151850163936615,
35
+ "learning_rate": 2e-05,
36
+ "loss": 0.8015564,
37
+ "memory(GiB)": 12.15,
38
+ "step": 10,
39
+ "train_speed(iter/s)": 0.107013
40
+ },
41
+ {
42
+ "acc": 0.7784133,
43
+ "epoch": 0.0019256073686575307,
44
+ "grad_norm": 0.15997682511806488,
45
+ "learning_rate": 3e-05,
46
+ "loss": 0.79284344,
47
+ "memory(GiB)": 12.15,
48
+ "step": 15,
49
+ "train_speed(iter/s)": 0.110995
50
+ },
51
+ {
52
+ "acc": 0.7815052,
53
+ "epoch": 0.002567476491543374,
54
+ "grad_norm": 0.14427673816680908,
55
+ "learning_rate": 4e-05,
56
+ "loss": 0.78122258,
57
+ "memory(GiB)": 12.9,
58
+ "step": 20,
59
+ "train_speed(iter/s)": 0.111462
60
+ },
61
+ {
62
+ "acc": 0.7915082,
63
+ "epoch": 0.0032093456144292177,
64
+ "grad_norm": 0.1590222716331482,
65
+ "learning_rate": 5e-05,
66
+ "loss": 0.7404335,
67
+ "memory(GiB)": 12.9,
68
+ "step": 25,
69
+ "train_speed(iter/s)": 0.112268
70
+ },
71
+ {
72
+ "acc": 0.80291214,
73
+ "epoch": 0.0038512147373150614,
74
+ "grad_norm": 0.13638992607593536,
75
+ "learning_rate": 6e-05,
76
+ "loss": 0.68063788,
77
+ "memory(GiB)": 12.9,
78
+ "step": 30,
79
+ "train_speed(iter/s)": 0.111517
80
+ },
81
+ {
82
+ "acc": 0.79923964,
83
+ "epoch": 0.0044930838602009054,
84
+ "grad_norm": 0.1271245777606964,
85
+ "learning_rate": 7e-05,
86
+ "loss": 0.68800621,
87
+ "memory(GiB)": 12.9,
88
+ "step": 35,
89
+ "train_speed(iter/s)": 0.110574
90
+ },
91
+ {
92
+ "acc": 0.80240812,
93
+ "epoch": 0.005134952983086748,
94
+ "grad_norm": 0.11937133222818375,
95
+ "learning_rate": 8e-05,
96
+ "loss": 0.69939818,
97
+ "memory(GiB)": 12.9,
98
+ "step": 40,
99
+ "train_speed(iter/s)": 0.109469
100
+ },
101
+ {
102
+ "acc": 0.78317132,
103
+ "epoch": 0.005776822105972592,
104
+ "grad_norm": 0.1665358543395996,
105
+ "learning_rate": 9e-05,
106
+ "loss": 0.75735736,
107
+ "memory(GiB)": 12.9,
108
+ "step": 45,
109
+ "train_speed(iter/s)": 0.108968
110
+ },
111
+ {
112
+ "acc": 0.80379133,
113
+ "epoch": 0.0064186912288584355,
114
+ "grad_norm": 0.14883440732955933,
115
+ "learning_rate": 0.0001,
116
+ "loss": 0.6824338,
117
+ "memory(GiB)": 12.9,
118
+ "step": 50,
119
+ "train_speed(iter/s)": 0.109163
120
+ },
121
+ {
122
+ "epoch": 0.0064186912288584355,
123
+ "eval_acc": 0.8081346555994846,
124
+ "eval_loss": 0.6729312539100647,
125
+ "eval_runtime": 195.4613,
126
+ "eval_samples_per_second": 6.436,
127
+ "eval_steps_per_second": 6.436,
128
+ "step": 50
129
+ },
130
+ {
131
+ "acc": 0.7984889,
132
+ "epoch": 0.007060560351744279,
133
+ "grad_norm": 0.16687534749507904,
134
+ "learning_rate": 9.999316524962345e-05,
135
+ "loss": 0.7141089,
136
+ "memory(GiB)": 12.9,
137
+ "step": 55,
138
+ "train_speed(iter/s)": 0.078646
139
+ },
140
+ {
141
+ "acc": 0.79216175,
142
+ "epoch": 0.007702429474630123,
143
+ "grad_norm": 0.17546051740646362,
144
+ "learning_rate": 9.997266286704631e-05,
145
+ "loss": 0.72419305,
146
+ "memory(GiB)": 12.9,
147
+ "step": 60,
148
+ "train_speed(iter/s)": 0.080466
149
+ },
150
+ {
151
+ "acc": 0.80358973,
152
+ "epoch": 0.008344298597515967,
153
+ "grad_norm": 0.16079305112361908,
154
+ "learning_rate": 9.993849845741524e-05,
155
+ "loss": 0.67717872,
156
+ "memory(GiB)": 12.9,
157
+ "step": 65,
158
+ "train_speed(iter/s)": 0.082252
159
+ },
160
+ {
161
+ "acc": 0.80615339,
162
+ "epoch": 0.008986167720401811,
163
+ "grad_norm": 0.1396234929561615,
164
+ "learning_rate": 9.989068136093873e-05,
165
+ "loss": 0.70638905,
166
+ "memory(GiB)": 12.9,
167
+ "step": 70,
168
+ "train_speed(iter/s)": 0.084
169
+ },
170
+ {
171
+ "acc": 0.79676814,
172
+ "epoch": 0.009628036843287653,
173
+ "grad_norm": 0.1340462565422058,
174
+ "learning_rate": 9.98292246503335e-05,
175
+ "loss": 0.71420946,
176
+ "memory(GiB)": 12.9,
177
+ "step": 75,
178
+ "train_speed(iter/s)": 0.08542
179
+ },
180
+ {
181
+ "acc": 0.79325166,
182
+ "epoch": 0.010269905966173496,
183
+ "grad_norm": 0.13259001076221466,
184
+ "learning_rate": 9.975414512725057e-05,
185
+ "loss": 0.71777782,
186
+ "memory(GiB)": 12.9,
187
+ "step": 80,
188
+ "train_speed(iter/s)": 0.086655
189
+ },
190
+ {
191
+ "acc": 0.81705523,
192
+ "epoch": 0.01091177508905934,
193
+ "grad_norm": 0.15833652019500732,
194
+ "learning_rate": 9.966546331768191e-05,
195
+ "loss": 0.62526927,
196
+ "memory(GiB)": 12.9,
197
+ "step": 85,
198
+ "train_speed(iter/s)": 0.088014
199
+ },
200
+ {
201
+ "acc": 0.80851898,
202
+ "epoch": 0.011553644211945184,
203
+ "grad_norm": 0.1456330418586731,
204
+ "learning_rate": 9.956320346634876e-05,
205
+ "loss": 0.68010745,
206
+ "memory(GiB)": 12.9,
207
+ "step": 90,
208
+ "train_speed(iter/s)": 0.088941
209
+ },
210
+ {
211
+ "acc": 0.81903477,
212
+ "epoch": 0.012195513334831027,
213
+ "grad_norm": 0.14285945892333984,
214
+ "learning_rate": 9.944739353007344e-05,
215
+ "loss": 0.6090106,
216
+ "memory(GiB)": 12.9,
217
+ "step": 95,
218
+ "train_speed(iter/s)": 0.089902
219
+ },
220
+ {
221
+ "acc": 0.82483721,
222
+ "epoch": 0.012837382457716871,
223
+ "grad_norm": 0.1478744000196457,
224
+ "learning_rate": 9.931806517013612e-05,
225
+ "loss": 0.59807158,
226
+ "memory(GiB)": 12.9,
227
+ "step": 100,
228
+ "train_speed(iter/s)": 0.090663
229
+ },
230
+ {
231
+ "epoch": 0.012837382457716871,
232
+ "eval_acc": 0.813768508772143,
233
+ "eval_loss": 0.645352840423584,
234
+ "eval_runtime": 195.755,
235
+ "eval_samples_per_second": 6.426,
236
+ "eval_steps_per_second": 6.426,
237
+ "step": 100
238
+ },
239
+ {
240
+ "acc": 0.80671978,
241
+ "epoch": 0.013479251580602715,
242
+ "grad_norm": 0.15444877743721008,
243
+ "learning_rate": 9.917525374361912e-05,
244
+ "loss": 0.66537051,
245
+ "memory(GiB)": 12.9,
246
+ "step": 105,
247
+ "train_speed(iter/s)": 0.078062
248
+ },
249
+ {
250
+ "acc": 0.81962786,
251
+ "epoch": 0.014121120703488558,
252
+ "grad_norm": 0.16826578974723816,
253
+ "learning_rate": 9.901899829374047e-05,
254
+ "loss": 0.60835891,
255
+ "memory(GiB)": 12.9,
256
+ "step": 110,
257
+ "train_speed(iter/s)": 0.079089
258
+ },
259
+ {
260
+ "acc": 0.80644588,
261
+ "epoch": 0.014762989826374402,
262
+ "grad_norm": 0.1519591063261032,
263
+ "learning_rate": 9.884934153917997e-05,
264
+ "loss": 0.66763787,
265
+ "memory(GiB)": 12.9,
266
+ "step": 115,
267
+ "train_speed(iter/s)": 0.08012
268
+ },
269
+ {
270
+ "acc": 0.8235981,
271
+ "epoch": 0.015404858949260246,
272
+ "grad_norm": 0.20040030777454376,
273
+ "learning_rate": 9.86663298624003e-05,
274
+ "loss": 0.5919826,
275
+ "memory(GiB)": 12.9,
276
+ "step": 120,
277
+ "train_speed(iter/s)": 0.081125
278
+ },
279
+ {
280
+ "acc": 0.81199884,
281
+ "epoch": 0.01604672807214609,
282
+ "grad_norm": 0.1842738389968872,
283
+ "learning_rate": 9.847001329696653e-05,
284
+ "loss": 0.63266978,
285
+ "memory(GiB)": 12.9,
286
+ "step": 125,
287
+ "train_speed(iter/s)": 0.082093
288
+ },
289
+ {
290
+ "acc": 0.81563005,
291
+ "epoch": 0.016688597195031935,
292
+ "grad_norm": 0.15375380218029022,
293
+ "learning_rate": 9.826044551386744e-05,
294
+ "loss": 0.61709371,
295
+ "memory(GiB)": 12.9,
296
+ "step": 130,
297
+ "train_speed(iter/s)": 0.082937
298
+ },
299
+ {
300
+ "acc": 0.80918331,
301
+ "epoch": 0.017330466317917778,
302
+ "grad_norm": 0.14841115474700928,
303
+ "learning_rate": 9.803768380684242e-05,
304
+ "loss": 0.63595695,
305
+ "memory(GiB)": 12.9,
306
+ "step": 135,
307
+ "train_speed(iter/s)": 0.083738
308
+ },
309
+ {
310
+ "acc": 0.81229877,
311
+ "epoch": 0.017972335440803622,
312
+ "grad_norm": 0.16627077758312225,
313
+ "learning_rate": 9.780178907671789e-05,
314
+ "loss": 0.64757662,
315
+ "memory(GiB)": 12.9,
316
+ "step": 140,
317
+ "train_speed(iter/s)": 0.084642
318
+ },
319
+ {
320
+ "acc": 0.804142,
321
+ "epoch": 0.018614204563689465,
322
+ "grad_norm": 0.1714244931936264,
323
+ "learning_rate": 9.755282581475769e-05,
324
+ "loss": 0.6832706,
325
+ "memory(GiB)": 12.9,
326
+ "step": 145,
327
+ "train_speed(iter/s)": 0.085406
328
+ },
329
+ {
330
+ "acc": 0.79688311,
331
+ "epoch": 0.019256073686575306,
332
+ "grad_norm": 0.18916593492031097,
333
+ "learning_rate": 9.729086208503174e-05,
334
+ "loss": 0.70668921,
335
+ "memory(GiB)": 12.9,
336
+ "step": 150,
337
+ "train_speed(iter/s)": 0.086183
338
+ },
339
+ {
340
+ "epoch": 0.019256073686575306,
341
+ "eval_acc": 0.8153510047395746,
342
+ "eval_loss": 0.6350318193435669,
343
+ "eval_runtime": 196.0265,
344
+ "eval_samples_per_second": 6.417,
345
+ "eval_steps_per_second": 6.417,
346
+ "step": 150
347
+ },
348
+ {
349
+ "acc": 0.80884809,
350
+ "epoch": 0.01989794280946115,
351
+ "grad_norm": 0.17633555829524994,
352
+ "learning_rate": 9.701596950580806e-05,
353
+ "loss": 0.63387117,
354
+ "memory(GiB)": 12.9,
355
+ "step": 155,
356
+ "train_speed(iter/s)": 0.078254
357
+ },
358
+ {
359
+ "acc": 0.81135025,
360
+ "epoch": 0.020539811932346993,
361
+ "grad_norm": 0.18200528621673584,
362
+ "learning_rate": 9.672822322997305e-05,
363
+ "loss": 0.65075536,
364
+ "memory(GiB)": 12.9,
365
+ "step": 160,
366
+ "train_speed(iter/s)": 0.078985
367
+ },
368
+ {
369
+ "acc": 0.82410259,
370
+ "epoch": 0.021181681055232836,
371
+ "grad_norm": 0.14853200316429138,
372
+ "learning_rate": 9.642770192448536e-05,
373
+ "loss": 0.60177903,
374
+ "memory(GiB)": 12.9,
375
+ "step": 165,
376
+ "train_speed(iter/s)": 0.079746
377
+ },
378
+ {
379
+ "acc": 0.80189457,
380
+ "epoch": 0.02182355017811868,
381
+ "grad_norm": 0.17732569575309753,
382
+ "learning_rate": 9.611448774886924e-05,
383
+ "loss": 0.68190188,
384
+ "memory(GiB)": 12.9,
385
+ "step": 170,
386
+ "train_speed(iter/s)": 0.080445
387
+ },
388
+ {
389
+ "acc": 0.81763601,
390
+ "epoch": 0.022465419301004524,
391
+ "grad_norm": 0.3583473563194275,
392
+ "learning_rate": 9.578866633275288e-05,
393
+ "loss": 0.62211475,
394
+ "memory(GiB)": 12.9,
395
+ "step": 175,
396
+ "train_speed(iter/s)": 0.081173
397
+ },
398
+ {
399
+ "acc": 0.81451321,
400
+ "epoch": 0.023107288423890367,
401
+ "grad_norm": 0.19369152188301086,
402
+ "learning_rate": 9.545032675245813e-05,
403
+ "loss": 0.63143706,
404
+ "memory(GiB)": 12.9,
405
+ "step": 180,
406
+ "train_speed(iter/s)": 0.081877
407
+ },
408
+ {
409
+ "acc": 0.809447,
410
+ "epoch": 0.02374915754677621,
411
+ "grad_norm": 0.16049319505691528,
412
+ "learning_rate": 9.509956150664796e-05,
413
+ "loss": 0.6451148,
414
+ "memory(GiB)": 12.9,
415
+ "step": 185,
416
+ "train_speed(iter/s)": 0.082533
417
+ },
418
+ {
419
+ "acc": 0.80372143,
420
+ "epoch": 0.024391026669662055,
421
+ "grad_norm": 0.19566483795642853,
422
+ "learning_rate": 9.473646649103818e-05,
423
+ "loss": 0.65715637,
424
+ "memory(GiB)": 12.9,
425
+ "step": 190,
426
+ "train_speed(iter/s)": 0.083203
427
+ },
428
+ {
429
+ "acc": 0.81516018,
430
+ "epoch": 0.0250328957925479,
431
+ "grad_norm": 0.1836969554424286,
432
+ "learning_rate": 9.43611409721806e-05,
433
+ "loss": 0.63388405,
434
+ "memory(GiB)": 12.9,
435
+ "step": 195,
436
+ "train_speed(iter/s)": 0.083851
437
+ },
438
+ {
439
+ "acc": 0.80683355,
440
+ "epoch": 0.025674764915433742,
441
+ "grad_norm": 0.15840834379196167,
442
+ "learning_rate": 9.397368756032445e-05,
443
+ "loss": 0.65765018,
444
+ "memory(GiB)": 12.9,
445
+ "step": 200,
446
+ "train_speed(iter/s)": 0.084362
447
+ },
448
+ {
449
+ "epoch": 0.025674764915433742,
450
+ "eval_acc": 0.8154263931167957,
451
+ "eval_loss": 0.6316511034965515,
452
+ "eval_runtime": 194.3299,
453
+ "eval_samples_per_second": 6.474,
454
+ "eval_steps_per_second": 6.474,
455
+ "step": 200
456
+ }
457
+ ],
458
+ "logging_steps": 5,
459
+ "max_steps": 1000,
460
+ "num_input_tokens_seen": 0,
461
+ "num_train_epochs": 1,
462
+ "save_steps": 50,
463
+ "stateful_callbacks": {
464
+ "TrainerControl": {
465
+ "args": {
466
+ "should_epoch_stop": false,
467
+ "should_evaluate": false,
468
+ "should_log": false,
469
+ "should_save": true,
470
+ "should_training_stop": false
471
+ },
472
+ "attributes": {}
473
+ }
474
+ },
475
+ "total_flos": 7.75762245139415e+16,
476
+ "train_batch_size": 1,
477
+ "trial_name": null,
478
+ "trial_params": null
479
+ }
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-200/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f5ca841f7bd4a855ee575421abc61a664c4a5bac12d5a654d3adfe5e4f1cc45d
3
+ size 7480
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-250/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: /home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-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
phi3_5-vision-instruct/v6-20241130-010713/checkpoint-250/adapter_config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "/home/pzcmoe/home/zhc/llama/models/Phi-3.5-vision-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": 32,
14
+ "lora_dropout": 0.05,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": [],
18
+ "peft_type": "LORA",
19
+ "r": 8,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": "^(model.layers|model.vision_embed_tokens.img_projection)(?!.*(lm_head|output|emb|wte|shared)).*",
23
+ "task_type": "CAUSAL_LM",
24
+ "use_dora": false,
25
+ "use_rslora": false
26
+ }