Theon1130 commited on
Commit
aee81e4
1 Parent(s): d838998
Files changed (36) hide show
  1. 2e_5_r8_2VQAlora2nd/README.md +202 -0
  2. 2e_5_r8_2VQAlora2nd/adapter_config.json +38 -0
  3. 2e_5_r8_2VQAlora2nd/adapter_model.safetensors +3 -0
  4. 2e_5_r8_2VQAlora2nd/checkpoints/r82_2e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/README.md +202 -0
  5. 2e_5_r8_2VQAlora2nd/checkpoints/r82_2e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/adapter_config.json +38 -0
  6. 2e_5_r8_2VQAlora2nd/checkpoints/r82_2e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/adapter_model.safetensors +3 -0
  7. 2e_5_r8_2VQAlora2nd/checkpoints/r82_2e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/optimizer.pt +3 -0
  8. 2e_5_r8_2VQAlora2nd/checkpoints/r82_2e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/rng_state.pth +3 -0
  9. 2e_5_r8_2VQAlora2nd/checkpoints/r82_2e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/scheduler.pt +3 -0
  10. 2e_5_r8_2VQAlora2nd/checkpoints/r82_2e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/trainer_state.json +533 -0
  11. 2e_5_r8_2VQAlora2nd/checkpoints/r82_2e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/training_args.bin +3 -0
  12. 2e_5_r8_2VQAlora2nd/training_args.bin +3 -0
  13. 4e_5_2VQAlora2nd/README.md +202 -0
  14. 4e_5_2VQAlora2nd/adapter_config.json +38 -0
  15. 4e_5_2VQAlora2nd/adapter_model.safetensors +3 -0
  16. 4e_5_2VQAlora2nd/checkpoints/2_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/README.md +202 -0
  17. 4e_5_2VQAlora2nd/checkpoints/2_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/adapter_config.json +38 -0
  18. 4e_5_2VQAlora2nd/checkpoints/2_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/adapter_model.safetensors +3 -0
  19. 4e_5_2VQAlora2nd/checkpoints/2_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/optimizer.pt +3 -0
  20. 4e_5_2VQAlora2nd/checkpoints/2_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/rng_state.pth +3 -0
  21. 4e_5_2VQAlora2nd/checkpoints/2_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/scheduler.pt +3 -0
  22. 4e_5_2VQAlora2nd/checkpoints/2_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/trainer_state.json +149 -0
  23. 4e_5_2VQAlora2nd/checkpoints/2_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/training_args.bin +3 -0
  24. 4e_5_2VQAlora2nd/training_args.bin +3 -0
  25. 4e_5_r8_2VQAlora2nd/README.md +202 -0
  26. 4e_5_r8_2VQAlora2nd/adapter_config.json +38 -0
  27. 4e_5_r8_2VQAlora2nd/adapter_model.safetensors +3 -0
  28. 4e_5_r8_2VQAlora2nd/checkpoints/r82_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/README.md +202 -0
  29. 4e_5_r8_2VQAlora2nd/checkpoints/r82_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/adapter_config.json +38 -0
  30. 4e_5_r8_2VQAlora2nd/checkpoints/r82_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/adapter_model.safetensors +3 -0
  31. 4e_5_r8_2VQAlora2nd/checkpoints/r82_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/optimizer.pt +3 -0
  32. 4e_5_r8_2VQAlora2nd/checkpoints/r82_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/rng_state.pth +3 -0
  33. 4e_5_r8_2VQAlora2nd/checkpoints/r82_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/scheduler.pt +3 -0
  34. 4e_5_r8_2VQAlora2nd/checkpoints/r82_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/trainer_state.json +533 -0
  35. 4e_5_r8_2VQAlora2nd/checkpoints/r82_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/training_args.bin +3 -0
  36. 4e_5_r8_2VQAlora2nd/training_args.bin +3 -0
2e_5_r8_2VQAlora2nd/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: /workspace/ROCO2nd_RSV_llava-v1.6-mistral_PMC
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 0.10.1.dev0
2e_5_r8_2VQAlora2nd/adapter_config.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": {
4
+ "base_model_class": "LlavaMistralForCausalLM",
5
+ "parent_library": "llava.model.language_model.llava_mistral"
6
+ },
7
+ "base_model_name_or_path": "/workspace/ROCO2nd_RSV_llava-v1.6-mistral_PMC",
8
+ "bias": "none",
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": true,
12
+ "layer_replication": null,
13
+ "layers_pattern": null,
14
+ "layers_to_transform": null,
15
+ "loftq_config": {},
16
+ "lora_alpha": 16,
17
+ "lora_dropout": 0.05,
18
+ "megatron_config": null,
19
+ "megatron_core": "megatron.core",
20
+ "modules_to_save": [
21
+ "mm_projector"
22
+ ],
23
+ "peft_type": "LORA",
24
+ "r": 8,
25
+ "rank_pattern": {},
26
+ "revision": null,
27
+ "target_modules": [
28
+ "up_proj",
29
+ "q_proj",
30
+ "v_proj",
31
+ "down_proj",
32
+ "gate_proj",
33
+ "k_proj"
34
+ ],
35
+ "task_type": null,
36
+ "use_dora": false,
37
+ "use_rslora": false
38
+ }
2e_5_r8_2VQAlora2nd/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5b0232e69491294015ab0a4efd85b1b6e1b7d740369cb5272f16a0c3a0b1dd2e
3
+ size 82145000
2e_5_r8_2VQAlora2nd/checkpoints/r82_2e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: /workspace/ROCO2nd_RSV_llava-v1.6-mistral_PMC
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 0.10.1.dev0
2e_5_r8_2VQAlora2nd/checkpoints/r82_2e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/adapter_config.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": {
4
+ "base_model_class": "LlavaMistralForCausalLM",
5
+ "parent_library": "llava.model.language_model.llava_mistral"
6
+ },
7
+ "base_model_name_or_path": "/workspace/ROCO2nd_RSV_llava-v1.6-mistral_PMC",
8
+ "bias": "none",
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": true,
12
+ "layer_replication": null,
13
+ "layers_pattern": null,
14
+ "layers_to_transform": null,
15
+ "loftq_config": {},
16
+ "lora_alpha": 16,
17
+ "lora_dropout": 0.05,
18
+ "megatron_config": null,
19
+ "megatron_core": "megatron.core",
20
+ "modules_to_save": [
21
+ "mm_projector"
22
+ ],
23
+ "peft_type": "LORA",
24
+ "r": 8,
25
+ "rank_pattern": {},
26
+ "revision": null,
27
+ "target_modules": [
28
+ "up_proj",
29
+ "q_proj",
30
+ "v_proj",
31
+ "down_proj",
32
+ "gate_proj",
33
+ "k_proj"
34
+ ],
35
+ "task_type": null,
36
+ "use_dora": false,
37
+ "use_rslora": false
38
+ }
2e_5_r8_2VQAlora2nd/checkpoints/r82_2e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1ecd06d454a5ef19de39fef869cf97fd790549b09548406d84a8c939662c9951
3
+ size 82145000
2e_5_r8_2VQAlora2nd/checkpoints/r82_2e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e58c4171fc1708d1a7c9827f39f2780c58fa8c1147ac2040914171331cbcca38
3
+ size 159745054
2e_5_r8_2VQAlora2nd/checkpoints/r82_2e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d84d4f48c468a94fd4072c91a59f565bee1ca2a3e59f347bb7cf50192b12534d
3
+ size 14244
2e_5_r8_2VQAlora2nd/checkpoints/r82_2e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3bf58c2acdbed25fa02315fba4c7735d145c4d933480a8c2806b5a368de6c669
3
+ size 1000
2e_5_r8_2VQAlora2nd/checkpoints/r82_2e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/trainer_state.json ADDED
@@ -0,0 +1,533 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.623073935508728,
3
+ "best_model_checkpoint": "/workspace/checkpoints/r82_2e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80",
4
+ "epoch": 1.4269788182831662,
5
+ "eval_steps": 20,
6
+ "global_step": 80,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.02,
13
+ "learning_rate": 5e-06,
14
+ "loss": 0.8086,
15
+ "step": 1
16
+ },
17
+ {
18
+ "epoch": 0.04,
19
+ "learning_rate": 1e-05,
20
+ "loss": 0.6797,
21
+ "step": 2
22
+ },
23
+ {
24
+ "epoch": 0.05,
25
+ "learning_rate": 1.5000000000000002e-05,
26
+ "loss": 0.4551,
27
+ "step": 3
28
+ },
29
+ {
30
+ "epoch": 0.07,
31
+ "learning_rate": 2e-05,
32
+ "loss": 0.543,
33
+ "step": 4
34
+ },
35
+ {
36
+ "epoch": 0.09,
37
+ "learning_rate": 1.9995769500822007e-05,
38
+ "loss": 0.3105,
39
+ "step": 5
40
+ },
41
+ {
42
+ "epoch": 0.11,
43
+ "learning_rate": 1.9983081582712684e-05,
44
+ "loss": 0.4727,
45
+ "step": 6
46
+ },
47
+ {
48
+ "epoch": 0.12,
49
+ "learning_rate": 1.9961946980917457e-05,
50
+ "loss": 0.6914,
51
+ "step": 7
52
+ },
53
+ {
54
+ "epoch": 0.14,
55
+ "learning_rate": 1.9932383577419432e-05,
56
+ "loss": 0.5586,
57
+ "step": 8
58
+ },
59
+ {
60
+ "epoch": 0.16,
61
+ "learning_rate": 1.9894416385809444e-05,
62
+ "loss": 0.4395,
63
+ "step": 9
64
+ },
65
+ {
66
+ "epoch": 0.18,
67
+ "learning_rate": 1.9848077530122083e-05,
68
+ "loss": 0.457,
69
+ "step": 10
70
+ },
71
+ {
72
+ "epoch": 0.2,
73
+ "learning_rate": 1.9793406217655516e-05,
74
+ "loss": 0.3574,
75
+ "step": 11
76
+ },
77
+ {
78
+ "epoch": 0.21,
79
+ "learning_rate": 1.973044870579824e-05,
80
+ "loss": 0.6641,
81
+ "step": 12
82
+ },
83
+ {
84
+ "epoch": 0.23,
85
+ "learning_rate": 1.9659258262890683e-05,
86
+ "loss": 0.5117,
87
+ "step": 13
88
+ },
89
+ {
90
+ "epoch": 0.25,
91
+ "learning_rate": 1.957989512315489e-05,
92
+ "loss": 0.5742,
93
+ "step": 14
94
+ },
95
+ {
96
+ "epoch": 0.27,
97
+ "learning_rate": 1.949242643573034e-05,
98
+ "loss": 0.4824,
99
+ "step": 15
100
+ },
101
+ {
102
+ "epoch": 0.29,
103
+ "learning_rate": 1.9396926207859085e-05,
104
+ "loss": 0.416,
105
+ "step": 16
106
+ },
107
+ {
108
+ "epoch": 0.3,
109
+ "learning_rate": 1.9293475242268224e-05,
110
+ "loss": 0.625,
111
+ "step": 17
112
+ },
113
+ {
114
+ "epoch": 0.32,
115
+ "learning_rate": 1.9182161068802742e-05,
116
+ "loss": 0.2354,
117
+ "step": 18
118
+ },
119
+ {
120
+ "epoch": 0.34,
121
+ "learning_rate": 1.9063077870366504e-05,
122
+ "loss": 0.7891,
123
+ "step": 19
124
+ },
125
+ {
126
+ "epoch": 0.36,
127
+ "learning_rate": 1.8936326403234125e-05,
128
+ "loss": 0.668,
129
+ "step": 20
130
+ },
131
+ {
132
+ "epoch": 0.36,
133
+ "eval_loss": 0.6457709074020386,
134
+ "eval_runtime": 330.0437,
135
+ "eval_samples_per_second": 1.366,
136
+ "eval_steps_per_second": 0.685,
137
+ "step": 20
138
+ },
139
+ {
140
+ "epoch": 0.37,
141
+ "learning_rate": 1.880201391180111e-05,
142
+ "loss": 0.5391,
143
+ "step": 21
144
+ },
145
+ {
146
+ "epoch": 0.39,
147
+ "learning_rate": 1.866025403784439e-05,
148
+ "loss": 0.3848,
149
+ "step": 22
150
+ },
151
+ {
152
+ "epoch": 0.41,
153
+ "learning_rate": 1.8511166724369997e-05,
154
+ "loss": 0.4434,
155
+ "step": 23
156
+ },
157
+ {
158
+ "epoch": 0.43,
159
+ "learning_rate": 1.8354878114129368e-05,
160
+ "loss": 0.5977,
161
+ "step": 24
162
+ },
163
+ {
164
+ "epoch": 0.45,
165
+ "learning_rate": 1.819152044288992e-05,
166
+ "loss": 0.543,
167
+ "step": 25
168
+ },
169
+ {
170
+ "epoch": 0.46,
171
+ "learning_rate": 1.802123192755044e-05,
172
+ "loss": 0.7422,
173
+ "step": 26
174
+ },
175
+ {
176
+ "epoch": 0.48,
177
+ "learning_rate": 1.784415664919576e-05,
178
+ "loss": 0.5039,
179
+ "step": 27
180
+ },
181
+ {
182
+ "epoch": 0.5,
183
+ "learning_rate": 1.766044443118978e-05,
184
+ "loss": 0.3848,
185
+ "step": 28
186
+ },
187
+ {
188
+ "epoch": 0.52,
189
+ "learning_rate": 1.7470250712409963e-05,
190
+ "loss": 0.5195,
191
+ "step": 29
192
+ },
193
+ {
194
+ "epoch": 0.54,
195
+ "learning_rate": 1.7273736415730488e-05,
196
+ "loss": 0.3945,
197
+ "step": 30
198
+ },
199
+ {
200
+ "epoch": 0.55,
201
+ "learning_rate": 1.7071067811865477e-05,
202
+ "loss": 0.5586,
203
+ "step": 31
204
+ },
205
+ {
206
+ "epoch": 0.57,
207
+ "learning_rate": 1.686241637868734e-05,
208
+ "loss": 0.4512,
209
+ "step": 32
210
+ },
211
+ {
212
+ "epoch": 0.59,
213
+ "learning_rate": 1.6647958656139377e-05,
214
+ "loss": 0.5273,
215
+ "step": 33
216
+ },
217
+ {
218
+ "epoch": 0.61,
219
+ "learning_rate": 1.6427876096865394e-05,
220
+ "loss": 0.5273,
221
+ "step": 34
222
+ },
223
+ {
224
+ "epoch": 0.62,
225
+ "learning_rate": 1.6202354912682602e-05,
226
+ "loss": 0.7734,
227
+ "step": 35
228
+ },
229
+ {
230
+ "epoch": 0.64,
231
+ "learning_rate": 1.5971585917027864e-05,
232
+ "loss": 0.875,
233
+ "step": 36
234
+ },
235
+ {
236
+ "epoch": 0.66,
237
+ "learning_rate": 1.573576436351046e-05,
238
+ "loss": 0.6602,
239
+ "step": 37
240
+ },
241
+ {
242
+ "epoch": 0.68,
243
+ "learning_rate": 1.5495089780708062e-05,
244
+ "loss": 0.8047,
245
+ "step": 38
246
+ },
247
+ {
248
+ "epoch": 0.7,
249
+ "learning_rate": 1.5249765803345602e-05,
250
+ "loss": 0.793,
251
+ "step": 39
252
+ },
253
+ {
254
+ "epoch": 0.71,
255
+ "learning_rate": 1.5000000000000002e-05,
256
+ "loss": 0.6562,
257
+ "step": 40
258
+ },
259
+ {
260
+ "epoch": 0.71,
261
+ "eval_loss": 0.6437277793884277,
262
+ "eval_runtime": 322.5002,
263
+ "eval_samples_per_second": 1.398,
264
+ "eval_steps_per_second": 0.701,
265
+ "step": 40
266
+ },
267
+ {
268
+ "epoch": 0.73,
269
+ "learning_rate": 1.4746003697476406e-05,
270
+ "loss": 0.5859,
271
+ "step": 41
272
+ },
273
+ {
274
+ "epoch": 0.75,
275
+ "learning_rate": 1.4487991802004625e-05,
276
+ "loss": 0.6328,
277
+ "step": 42
278
+ },
279
+ {
280
+ "epoch": 0.77,
281
+ "learning_rate": 1.4226182617406996e-05,
282
+ "loss": 0.4727,
283
+ "step": 43
284
+ },
285
+ {
286
+ "epoch": 0.78,
287
+ "learning_rate": 1.396079766039157e-05,
288
+ "loss": 0.6836,
289
+ "step": 44
290
+ },
291
+ {
292
+ "epoch": 0.8,
293
+ "learning_rate": 1.3692061473126845e-05,
294
+ "loss": 0.6875,
295
+ "step": 45
296
+ },
297
+ {
298
+ "epoch": 0.82,
299
+ "learning_rate": 1.342020143325669e-05,
300
+ "loss": 0.75,
301
+ "step": 46
302
+ },
303
+ {
304
+ "epoch": 0.84,
305
+ "learning_rate": 1.3145447561516138e-05,
306
+ "loss": 0.4512,
307
+ "step": 47
308
+ },
309
+ {
310
+ "epoch": 0.86,
311
+ "learning_rate": 1.2868032327110904e-05,
312
+ "loss": 0.6875,
313
+ "step": 48
314
+ },
315
+ {
316
+ "epoch": 0.87,
317
+ "learning_rate": 1.2588190451025209e-05,
318
+ "loss": 0.7734,
319
+ "step": 49
320
+ },
321
+ {
322
+ "epoch": 0.89,
323
+ "learning_rate": 1.2306158707424402e-05,
324
+ "loss": 0.6328,
325
+ "step": 50
326
+ },
327
+ {
328
+ "epoch": 0.91,
329
+ "learning_rate": 1.2022175723320382e-05,
330
+ "loss": 0.6992,
331
+ "step": 51
332
+ },
333
+ {
334
+ "epoch": 0.93,
335
+ "learning_rate": 1.1736481776669307e-05,
336
+ "loss": 0.5977,
337
+ "step": 52
338
+ },
339
+ {
340
+ "epoch": 0.95,
341
+ "learning_rate": 1.1449318593072468e-05,
342
+ "loss": 0.5742,
343
+ "step": 53
344
+ },
345
+ {
346
+ "epoch": 0.96,
347
+ "learning_rate": 1.1160929141252303e-05,
348
+ "loss": 0.3633,
349
+ "step": 54
350
+ },
351
+ {
352
+ "epoch": 0.98,
353
+ "learning_rate": 1.0871557427476585e-05,
354
+ "loss": 0.6836,
355
+ "step": 55
356
+ },
357
+ {
358
+ "epoch": 1.0,
359
+ "learning_rate": 1.0581448289104759e-05,
360
+ "loss": 0.8086,
361
+ "step": 56
362
+ },
363
+ {
364
+ "epoch": 1.02,
365
+ "learning_rate": 1.0290847187431115e-05,
366
+ "loss": 0.3984,
367
+ "step": 57
368
+ },
369
+ {
370
+ "epoch": 1.03,
371
+ "learning_rate": 1e-05,
372
+ "loss": 0.4531,
373
+ "step": 58
374
+ },
375
+ {
376
+ "epoch": 1.05,
377
+ "learning_rate": 9.709152812568886e-06,
378
+ "loss": 0.5039,
379
+ "step": 59
380
+ },
381
+ {
382
+ "epoch": 1.07,
383
+ "learning_rate": 9.418551710895243e-06,
384
+ "loss": 0.6211,
385
+ "step": 60
386
+ },
387
+ {
388
+ "epoch": 1.07,
389
+ "eval_loss": 0.6246171593666077,
390
+ "eval_runtime": 327.5115,
391
+ "eval_samples_per_second": 1.377,
392
+ "eval_steps_per_second": 0.69,
393
+ "step": 60
394
+ },
395
+ {
396
+ "epoch": 1.09,
397
+ "learning_rate": 9.128442572523418e-06,
398
+ "loss": 0.3184,
399
+ "step": 61
400
+ },
401
+ {
402
+ "epoch": 1.11,
403
+ "learning_rate": 8.839070858747697e-06,
404
+ "loss": 0.4434,
405
+ "step": 62
406
+ },
407
+ {
408
+ "epoch": 1.12,
409
+ "learning_rate": 8.550681406927534e-06,
410
+ "loss": 0.4141,
411
+ "step": 63
412
+ },
413
+ {
414
+ "epoch": 1.14,
415
+ "learning_rate": 8.263518223330698e-06,
416
+ "loss": 0.3477,
417
+ "step": 64
418
+ },
419
+ {
420
+ "epoch": 1.16,
421
+ "learning_rate": 7.977824276679623e-06,
422
+ "loss": 0.4844,
423
+ "step": 65
424
+ },
425
+ {
426
+ "epoch": 1.18,
427
+ "learning_rate": 7.6938412925756e-06,
428
+ "loss": 0.4902,
429
+ "step": 66
430
+ },
431
+ {
432
+ "epoch": 1.2,
433
+ "learning_rate": 7.411809548974792e-06,
434
+ "loss": 0.5547,
435
+ "step": 67
436
+ },
437
+ {
438
+ "epoch": 1.21,
439
+ "learning_rate": 7.131967672889101e-06,
440
+ "loss": 0.3965,
441
+ "step": 68
442
+ },
443
+ {
444
+ "epoch": 1.23,
445
+ "learning_rate": 6.854552438483866e-06,
446
+ "loss": 0.6133,
447
+ "step": 69
448
+ },
449
+ {
450
+ "epoch": 1.25,
451
+ "learning_rate": 6.579798566743314e-06,
452
+ "loss": 0.5312,
453
+ "step": 70
454
+ },
455
+ {
456
+ "epoch": 1.27,
457
+ "learning_rate": 6.3079385268731575e-06,
458
+ "loss": 0.4766,
459
+ "step": 71
460
+ },
461
+ {
462
+ "epoch": 1.28,
463
+ "learning_rate": 6.039202339608432e-06,
464
+ "loss": 0.8125,
465
+ "step": 72
466
+ },
467
+ {
468
+ "epoch": 1.3,
469
+ "learning_rate": 5.773817382593008e-06,
470
+ "loss": 0.4551,
471
+ "step": 73
472
+ },
473
+ {
474
+ "epoch": 1.32,
475
+ "learning_rate": 5.512008197995379e-06,
476
+ "loss": 0.4219,
477
+ "step": 74
478
+ },
479
+ {
480
+ "epoch": 1.34,
481
+ "learning_rate": 5.253996302523596e-06,
482
+ "loss": 0.3867,
483
+ "step": 75
484
+ },
485
+ {
486
+ "epoch": 1.36,
487
+ "learning_rate": 5.000000000000003e-06,
488
+ "loss": 0.5156,
489
+ "step": 76
490
+ },
491
+ {
492
+ "epoch": 1.37,
493
+ "learning_rate": 4.7502341966544e-06,
494
+ "loss": 0.5469,
495
+ "step": 77
496
+ },
497
+ {
498
+ "epoch": 1.39,
499
+ "learning_rate": 4.504910219291941e-06,
500
+ "loss": 0.3984,
501
+ "step": 78
502
+ },
503
+ {
504
+ "epoch": 1.41,
505
+ "learning_rate": 4.264235636489542e-06,
506
+ "loss": 0.4395,
507
+ "step": 79
508
+ },
509
+ {
510
+ "epoch": 1.43,
511
+ "learning_rate": 4.028414082972141e-06,
512
+ "loss": 0.6719,
513
+ "step": 80
514
+ },
515
+ {
516
+ "epoch": 1.43,
517
+ "eval_loss": 0.623073935508728,
518
+ "eval_runtime": 322.1595,
519
+ "eval_samples_per_second": 1.4,
520
+ "eval_steps_per_second": 0.702,
521
+ "step": 80
522
+ }
523
+ ],
524
+ "logging_steps": 1,
525
+ "max_steps": 112,
526
+ "num_input_tokens_seen": 0,
527
+ "num_train_epochs": 2,
528
+ "save_steps": 40,
529
+ "total_flos": 4979777395845120.0,
530
+ "train_batch_size": 2,
531
+ "trial_name": null,
532
+ "trial_params": null
533
+ }
2e_5_r8_2VQAlora2nd/checkpoints/r82_2e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a3fb2b54d9ce3c79a2533cc4f7113f96de9b3af85fa1d22489c50d5969473c5a
3
+ size 4792
2e_5_r8_2VQAlora2nd/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a3fb2b54d9ce3c79a2533cc4f7113f96de9b3af85fa1d22489c50d5969473c5a
3
+ size 4792
4e_5_2VQAlora2nd/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: /workspace/ROCO2nd_RSV_llava-v1.6-mistral_PMC
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 0.10.1.dev0
4e_5_2VQAlora2nd/adapter_config.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": {
4
+ "base_model_class": "LlavaMistralForCausalLM",
5
+ "parent_library": "llava.model.language_model.llava_mistral"
6
+ },
7
+ "base_model_name_or_path": "/workspace/ROCO2nd_RSV_llava-v1.6-mistral_PMC",
8
+ "bias": "none",
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": true,
12
+ "layer_replication": null,
13
+ "layers_pattern": null,
14
+ "layers_to_transform": null,
15
+ "loftq_config": {},
16
+ "lora_alpha": 32,
17
+ "lora_dropout": 0.05,
18
+ "megatron_config": null,
19
+ "megatron_core": "megatron.core",
20
+ "modules_to_save": [
21
+ "mm_projector"
22
+ ],
23
+ "peft_type": "LORA",
24
+ "r": 16,
25
+ "rank_pattern": {},
26
+ "revision": null,
27
+ "target_modules": [
28
+ "k_proj",
29
+ "q_proj",
30
+ "v_proj",
31
+ "up_proj",
32
+ "gate_proj",
33
+ "down_proj"
34
+ ],
35
+ "task_type": null,
36
+ "use_dora": false,
37
+ "use_rslora": false
38
+ }
4e_5_2VQAlora2nd/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6ec223b0f496bb70eced664b2e732b675e4285577505c475ba9c48886f4fbcd5
3
+ size 122253960
4e_5_2VQAlora2nd/checkpoints/2_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: /workspace/ROCO2nd_RSV_llava-v1.6-mistral_PMC
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 0.10.1.dev0
4e_5_2VQAlora2nd/checkpoints/2_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/adapter_config.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": {
4
+ "base_model_class": "LlavaMistralForCausalLM",
5
+ "parent_library": "llava.model.language_model.llava_mistral"
6
+ },
7
+ "base_model_name_or_path": "/workspace/ROCO2nd_RSV_llava-v1.6-mistral_PMC",
8
+ "bias": "none",
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": true,
12
+ "layer_replication": null,
13
+ "layers_pattern": null,
14
+ "layers_to_transform": null,
15
+ "loftq_config": {},
16
+ "lora_alpha": 32,
17
+ "lora_dropout": 0.05,
18
+ "megatron_config": null,
19
+ "megatron_core": "megatron.core",
20
+ "modules_to_save": [
21
+ "mm_projector"
22
+ ],
23
+ "peft_type": "LORA",
24
+ "r": 16,
25
+ "rank_pattern": {},
26
+ "revision": null,
27
+ "target_modules": [
28
+ "k_proj",
29
+ "q_proj",
30
+ "v_proj",
31
+ "up_proj",
32
+ "gate_proj",
33
+ "down_proj"
34
+ ],
35
+ "task_type": null,
36
+ "use_dora": false,
37
+ "use_rslora": false
38
+ }
4e_5_2VQAlora2nd/checkpoints/2_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6ec223b0f496bb70eced664b2e732b675e4285577505c475ba9c48886f4fbcd5
3
+ size 122253960
4e_5_2VQAlora2nd/checkpoints/2_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0ba45b246b37370bda13027e4d8bd1349db0353bb2b3a540a7892a9d76989300
3
+ size 235243422
4e_5_2VQAlora2nd/checkpoints/2_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d84d4f48c468a94fd4072c91a59f565bee1ca2a3e59f347bb7cf50192b12534d
3
+ size 14244
4e_5_2VQAlora2nd/checkpoints/2_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:91de2e5150296a3888b9d86e8412c0c3aac23a6d23700fef3e75d90a2393e8e1
3
+ size 1000
4e_5_2VQAlora2nd/checkpoints/2_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/trainer_state.json ADDED
@@ -0,0 +1,149 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.6341778635978699,
3
+ "best_model_checkpoint": "/workspace/checkpoints/2_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80",
4
+ "epoch": 1.4269788182831662,
5
+ "eval_steps": 20,
6
+ "global_step": 80,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.09,
13
+ "learning_rate": 3.9991539001644015e-05,
14
+ "loss": 0.5469,
15
+ "step": 5
16
+ },
17
+ {
18
+ "epoch": 0.18,
19
+ "learning_rate": 3.9696155060244166e-05,
20
+ "loss": 0.5094,
21
+ "step": 10
22
+ },
23
+ {
24
+ "epoch": 0.27,
25
+ "learning_rate": 3.898485287146068e-05,
26
+ "loss": 0.4844,
27
+ "step": 15
28
+ },
29
+ {
30
+ "epoch": 0.36,
31
+ "learning_rate": 3.787265280646825e-05,
32
+ "loss": 0.5625,
33
+ "step": 20
34
+ },
35
+ {
36
+ "epoch": 0.36,
37
+ "eval_loss": 0.6666426062583923,
38
+ "eval_runtime": 313.5071,
39
+ "eval_samples_per_second": 1.439,
40
+ "eval_steps_per_second": 0.721,
41
+ "step": 20
42
+ },
43
+ {
44
+ "epoch": 0.45,
45
+ "learning_rate": 3.638304088577984e-05,
46
+ "loss": 0.4938,
47
+ "step": 25
48
+ },
49
+ {
50
+ "epoch": 0.54,
51
+ "learning_rate": 3.4547472831460976e-05,
52
+ "loss": 0.4969,
53
+ "step": 30
54
+ },
55
+ {
56
+ "epoch": 0.62,
57
+ "learning_rate": 3.2404709825365204e-05,
58
+ "loss": 0.5219,
59
+ "step": 35
60
+ },
61
+ {
62
+ "epoch": 0.71,
63
+ "learning_rate": 3.0000000000000004e-05,
64
+ "loss": 0.7219,
65
+ "step": 40
66
+ },
67
+ {
68
+ "epoch": 0.71,
69
+ "eval_loss": 0.6467391848564148,
70
+ "eval_runtime": 318.6731,
71
+ "eval_samples_per_second": 1.415,
72
+ "eval_steps_per_second": 0.709,
73
+ "step": 40
74
+ },
75
+ {
76
+ "epoch": 0.8,
77
+ "learning_rate": 2.738412294625369e-05,
78
+ "loss": 0.575,
79
+ "step": 45
80
+ },
81
+ {
82
+ "epoch": 0.89,
83
+ "learning_rate": 2.4612317414848804e-05,
84
+ "loss": 0.6344,
85
+ "step": 50
86
+ },
87
+ {
88
+ "epoch": 0.98,
89
+ "learning_rate": 2.174311485495317e-05,
90
+ "loss": 0.5469,
91
+ "step": 55
92
+ },
93
+ {
94
+ "epoch": 1.07,
95
+ "learning_rate": 1.8837103421790486e-05,
96
+ "loss": 0.4469,
97
+ "step": 60
98
+ },
99
+ {
100
+ "epoch": 1.07,
101
+ "eval_loss": 0.6086602210998535,
102
+ "eval_runtime": 320.0767,
103
+ "eval_samples_per_second": 1.409,
104
+ "eval_steps_per_second": 0.706,
105
+ "step": 60
106
+ },
107
+ {
108
+ "epoch": 1.16,
109
+ "learning_rate": 1.5955648553359247e-05,
110
+ "loss": 0.3141,
111
+ "step": 65
112
+ },
113
+ {
114
+ "epoch": 1.25,
115
+ "learning_rate": 1.3159597133486628e-05,
116
+ "loss": 0.3953,
117
+ "step": 70
118
+ },
119
+ {
120
+ "epoch": 1.34,
121
+ "learning_rate": 1.0507992605047193e-05,
122
+ "loss": 0.3875,
123
+ "step": 75
124
+ },
125
+ {
126
+ "epoch": 1.43,
127
+ "learning_rate": 8.056828165944282e-06,
128
+ "loss": 0.3766,
129
+ "step": 80
130
+ },
131
+ {
132
+ "epoch": 1.43,
133
+ "eval_loss": 0.6341778635978699,
134
+ "eval_runtime": 315.0947,
135
+ "eval_samples_per_second": 1.431,
136
+ "eval_steps_per_second": 0.717,
137
+ "step": 80
138
+ }
139
+ ],
140
+ "logging_steps": 5,
141
+ "max_steps": 112,
142
+ "num_input_tokens_seen": 0,
143
+ "num_train_epochs": 2,
144
+ "save_steps": 40,
145
+ "total_flos": 4993136137955328.0,
146
+ "train_batch_size": 2,
147
+ "trial_name": null,
148
+ "trial_params": null
149
+ }
4e_5_2VQAlora2nd/checkpoints/2_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1a68ac9690d72595e0b21c7496fbf44aa8a0d4c5bd0264468e35b12eddd8e350
3
+ size 4792
4e_5_2VQAlora2nd/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1a68ac9690d72595e0b21c7496fbf44aa8a0d4c5bd0264468e35b12eddd8e350
3
+ size 4792
4e_5_r8_2VQAlora2nd/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: /workspace/ROCO2nd_RSV_llava-v1.6-mistral_PMC
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 0.10.1.dev0
4e_5_r8_2VQAlora2nd/adapter_config.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": {
4
+ "base_model_class": "LlavaMistralForCausalLM",
5
+ "parent_library": "llava.model.language_model.llava_mistral"
6
+ },
7
+ "base_model_name_or_path": "/workspace/ROCO2nd_RSV_llava-v1.6-mistral_PMC",
8
+ "bias": "none",
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": true,
12
+ "layer_replication": null,
13
+ "layers_pattern": null,
14
+ "layers_to_transform": null,
15
+ "loftq_config": {},
16
+ "lora_alpha": 16,
17
+ "lora_dropout": 0.05,
18
+ "megatron_config": null,
19
+ "megatron_core": "megatron.core",
20
+ "modules_to_save": [
21
+ "mm_projector"
22
+ ],
23
+ "peft_type": "LORA",
24
+ "r": 8,
25
+ "rank_pattern": {},
26
+ "revision": null,
27
+ "target_modules": [
28
+ "k_proj",
29
+ "down_proj",
30
+ "v_proj",
31
+ "up_proj",
32
+ "gate_proj",
33
+ "q_proj"
34
+ ],
35
+ "task_type": null,
36
+ "use_dora": false,
37
+ "use_rslora": false
38
+ }
4e_5_r8_2VQAlora2nd/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f4251bacf03189ccc18b2f3b80149c2984023e37d29f135866c07d3b3ea7f27d
3
+ size 82145000
4e_5_r8_2VQAlora2nd/checkpoints/r82_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: /workspace/ROCO2nd_RSV_llava-v1.6-mistral_PMC
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 0.10.1.dev0
4e_5_r8_2VQAlora2nd/checkpoints/r82_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/adapter_config.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": {
4
+ "base_model_class": "LlavaMistralForCausalLM",
5
+ "parent_library": "llava.model.language_model.llava_mistral"
6
+ },
7
+ "base_model_name_or_path": "/workspace/ROCO2nd_RSV_llava-v1.6-mistral_PMC",
8
+ "bias": "none",
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": true,
12
+ "layer_replication": null,
13
+ "layers_pattern": null,
14
+ "layers_to_transform": null,
15
+ "loftq_config": {},
16
+ "lora_alpha": 16,
17
+ "lora_dropout": 0.05,
18
+ "megatron_config": null,
19
+ "megatron_core": "megatron.core",
20
+ "modules_to_save": [
21
+ "mm_projector"
22
+ ],
23
+ "peft_type": "LORA",
24
+ "r": 8,
25
+ "rank_pattern": {},
26
+ "revision": null,
27
+ "target_modules": [
28
+ "k_proj",
29
+ "down_proj",
30
+ "v_proj",
31
+ "up_proj",
32
+ "gate_proj",
33
+ "q_proj"
34
+ ],
35
+ "task_type": null,
36
+ "use_dora": false,
37
+ "use_rslora": false
38
+ }
4e_5_r8_2VQAlora2nd/checkpoints/r82_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f4251bacf03189ccc18b2f3b80149c2984023e37d29f135866c07d3b3ea7f27d
3
+ size 82145000
4e_5_r8_2VQAlora2nd/checkpoints/r82_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:142e2e403e738467fe0ae0d0cad7e4805d9c808c4ce3bb564c84cab83eae59f8
3
+ size 159745054
4e_5_r8_2VQAlora2nd/checkpoints/r82_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d84d4f48c468a94fd4072c91a59f565bee1ca2a3e59f347bb7cf50192b12534d
3
+ size 14244
4e_5_r8_2VQAlora2nd/checkpoints/r82_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:91de2e5150296a3888b9d86e8412c0c3aac23a6d23700fef3e75d90a2393e8e1
3
+ size 1000
4e_5_r8_2VQAlora2nd/checkpoints/r82_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/trainer_state.json ADDED
@@ -0,0 +1,533 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.6239878535270691,
3
+ "best_model_checkpoint": "/workspace/checkpoints/r82_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80",
4
+ "epoch": 1.4269788182831662,
5
+ "eval_steps": 20,
6
+ "global_step": 80,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.02,
13
+ "learning_rate": 1e-05,
14
+ "loss": 0.8086,
15
+ "step": 1
16
+ },
17
+ {
18
+ "epoch": 0.04,
19
+ "learning_rate": 2e-05,
20
+ "loss": 0.6797,
21
+ "step": 2
22
+ },
23
+ {
24
+ "epoch": 0.05,
25
+ "learning_rate": 3.0000000000000004e-05,
26
+ "loss": 0.4492,
27
+ "step": 3
28
+ },
29
+ {
30
+ "epoch": 0.07,
31
+ "learning_rate": 4e-05,
32
+ "loss": 0.5117,
33
+ "step": 4
34
+ },
35
+ {
36
+ "epoch": 0.09,
37
+ "learning_rate": 3.9991539001644015e-05,
38
+ "loss": 0.3027,
39
+ "step": 5
40
+ },
41
+ {
42
+ "epoch": 0.11,
43
+ "learning_rate": 3.996616316542537e-05,
44
+ "loss": 0.4629,
45
+ "step": 6
46
+ },
47
+ {
48
+ "epoch": 0.12,
49
+ "learning_rate": 3.9923893961834914e-05,
50
+ "loss": 0.6875,
51
+ "step": 7
52
+ },
53
+ {
54
+ "epoch": 0.14,
55
+ "learning_rate": 3.9864767154838864e-05,
56
+ "loss": 0.5586,
57
+ "step": 8
58
+ },
59
+ {
60
+ "epoch": 0.16,
61
+ "learning_rate": 3.978883277161889e-05,
62
+ "loss": 0.4551,
63
+ "step": 9
64
+ },
65
+ {
66
+ "epoch": 0.18,
67
+ "learning_rate": 3.9696155060244166e-05,
68
+ "loss": 0.4297,
69
+ "step": 10
70
+ },
71
+ {
72
+ "epoch": 0.2,
73
+ "learning_rate": 3.958681243531103e-05,
74
+ "loss": 0.3301,
75
+ "step": 11
76
+ },
77
+ {
78
+ "epoch": 0.21,
79
+ "learning_rate": 3.946089741159648e-05,
80
+ "loss": 0.6367,
81
+ "step": 12
82
+ },
83
+ {
84
+ "epoch": 0.23,
85
+ "learning_rate": 3.931851652578137e-05,
86
+ "loss": 0.4883,
87
+ "step": 13
88
+ },
89
+ {
90
+ "epoch": 0.25,
91
+ "learning_rate": 3.915979024630978e-05,
92
+ "loss": 0.5625,
93
+ "step": 14
94
+ },
95
+ {
96
+ "epoch": 0.27,
97
+ "learning_rate": 3.898485287146068e-05,
98
+ "loss": 0.4492,
99
+ "step": 15
100
+ },
101
+ {
102
+ "epoch": 0.29,
103
+ "learning_rate": 3.879385241571817e-05,
104
+ "loss": 0.4395,
105
+ "step": 16
106
+ },
107
+ {
108
+ "epoch": 0.3,
109
+ "learning_rate": 3.858695048453645e-05,
110
+ "loss": 0.6016,
111
+ "step": 17
112
+ },
113
+ {
114
+ "epoch": 0.32,
115
+ "learning_rate": 3.8364322137605484e-05,
116
+ "loss": 0.2266,
117
+ "step": 18
118
+ },
119
+ {
120
+ "epoch": 0.34,
121
+ "learning_rate": 3.812615574073301e-05,
122
+ "loss": 0.8047,
123
+ "step": 19
124
+ },
125
+ {
126
+ "epoch": 0.36,
127
+ "learning_rate": 3.787265280646825e-05,
128
+ "loss": 0.6797,
129
+ "step": 20
130
+ },
131
+ {
132
+ "epoch": 0.36,
133
+ "eval_loss": 0.6560852527618408,
134
+ "eval_runtime": 313.3213,
135
+ "eval_samples_per_second": 1.439,
136
+ "eval_steps_per_second": 0.721,
137
+ "step": 20
138
+ },
139
+ {
140
+ "epoch": 0.37,
141
+ "learning_rate": 3.760402782360222e-05,
142
+ "loss": 0.5625,
143
+ "step": 21
144
+ },
145
+ {
146
+ "epoch": 0.39,
147
+ "learning_rate": 3.732050807568878e-05,
148
+ "loss": 0.3496,
149
+ "step": 22
150
+ },
151
+ {
152
+ "epoch": 0.41,
153
+ "learning_rate": 3.702233344873999e-05,
154
+ "loss": 0.4316,
155
+ "step": 23
156
+ },
157
+ {
158
+ "epoch": 0.43,
159
+ "learning_rate": 3.6709756228258735e-05,
160
+ "loss": 0.5938,
161
+ "step": 24
162
+ },
163
+ {
164
+ "epoch": 0.45,
165
+ "learning_rate": 3.638304088577984e-05,
166
+ "loss": 0.543,
167
+ "step": 25
168
+ },
169
+ {
170
+ "epoch": 0.46,
171
+ "learning_rate": 3.604246385510088e-05,
172
+ "loss": 0.7305,
173
+ "step": 26
174
+ },
175
+ {
176
+ "epoch": 0.48,
177
+ "learning_rate": 3.568831329839152e-05,
178
+ "loss": 0.4941,
179
+ "step": 27
180
+ },
181
+ {
182
+ "epoch": 0.5,
183
+ "learning_rate": 3.532088886237956e-05,
184
+ "loss": 0.3711,
185
+ "step": 28
186
+ },
187
+ {
188
+ "epoch": 0.52,
189
+ "learning_rate": 3.4940501424819927e-05,
190
+ "loss": 0.5,
191
+ "step": 29
192
+ },
193
+ {
194
+ "epoch": 0.54,
195
+ "learning_rate": 3.4547472831460976e-05,
196
+ "loss": 0.4004,
197
+ "step": 30
198
+ },
199
+ {
200
+ "epoch": 0.55,
201
+ "learning_rate": 3.4142135623730954e-05,
202
+ "loss": 0.5547,
203
+ "step": 31
204
+ },
205
+ {
206
+ "epoch": 0.57,
207
+ "learning_rate": 3.372483275737468e-05,
208
+ "loss": 0.4336,
209
+ "step": 32
210
+ },
211
+ {
212
+ "epoch": 0.59,
213
+ "learning_rate": 3.3295917312278754e-05,
214
+ "loss": 0.4766,
215
+ "step": 33
216
+ },
217
+ {
218
+ "epoch": 0.61,
219
+ "learning_rate": 3.285575219373079e-05,
220
+ "loss": 0.4824,
221
+ "step": 34
222
+ },
223
+ {
224
+ "epoch": 0.62,
225
+ "learning_rate": 3.2404709825365204e-05,
226
+ "loss": 0.7305,
227
+ "step": 35
228
+ },
229
+ {
230
+ "epoch": 0.64,
231
+ "learning_rate": 3.194317183405573e-05,
232
+ "loss": 0.8555,
233
+ "step": 36
234
+ },
235
+ {
236
+ "epoch": 0.66,
237
+ "learning_rate": 3.147152872702092e-05,
238
+ "loss": 0.6484,
239
+ "step": 37
240
+ },
241
+ {
242
+ "epoch": 0.68,
243
+ "learning_rate": 3.0990179561416124e-05,
244
+ "loss": 0.8008,
245
+ "step": 38
246
+ },
247
+ {
248
+ "epoch": 0.7,
249
+ "learning_rate": 3.0499531606691204e-05,
250
+ "loss": 0.7617,
251
+ "step": 39
252
+ },
253
+ {
254
+ "epoch": 0.71,
255
+ "learning_rate": 3.0000000000000004e-05,
256
+ "loss": 0.6445,
257
+ "step": 40
258
+ },
259
+ {
260
+ "epoch": 0.71,
261
+ "eval_loss": 0.6416881680488586,
262
+ "eval_runtime": 321.2436,
263
+ "eval_samples_per_second": 1.404,
264
+ "eval_steps_per_second": 0.704,
265
+ "step": 40
266
+ },
267
+ {
268
+ "epoch": 0.73,
269
+ "learning_rate": 2.9492007394952812e-05,
270
+ "loss": 0.5781,
271
+ "step": 41
272
+ },
273
+ {
274
+ "epoch": 0.75,
275
+ "learning_rate": 2.897598360400925e-05,
276
+ "loss": 0.6133,
277
+ "step": 42
278
+ },
279
+ {
280
+ "epoch": 0.77,
281
+ "learning_rate": 2.8452365234813992e-05,
282
+ "loss": 0.4551,
283
+ "step": 43
284
+ },
285
+ {
286
+ "epoch": 0.78,
287
+ "learning_rate": 2.792159532078314e-05,
288
+ "loss": 0.6562,
289
+ "step": 44
290
+ },
291
+ {
292
+ "epoch": 0.8,
293
+ "learning_rate": 2.738412294625369e-05,
294
+ "loss": 0.6484,
295
+ "step": 45
296
+ },
297
+ {
298
+ "epoch": 0.82,
299
+ "learning_rate": 2.684040286651338e-05,
300
+ "loss": 0.7695,
301
+ "step": 46
302
+ },
303
+ {
304
+ "epoch": 0.84,
305
+ "learning_rate": 2.6290895123032277e-05,
306
+ "loss": 0.4355,
307
+ "step": 47
308
+ },
309
+ {
310
+ "epoch": 0.86,
311
+ "learning_rate": 2.5736064654221808e-05,
312
+ "loss": 0.6445,
313
+ "step": 48
314
+ },
315
+ {
316
+ "epoch": 0.87,
317
+ "learning_rate": 2.5176380902050418e-05,
318
+ "loss": 0.7656,
319
+ "step": 49
320
+ },
321
+ {
322
+ "epoch": 0.89,
323
+ "learning_rate": 2.4612317414848804e-05,
324
+ "loss": 0.6172,
325
+ "step": 50
326
+ },
327
+ {
328
+ "epoch": 0.91,
329
+ "learning_rate": 2.4044351446640763e-05,
330
+ "loss": 0.6836,
331
+ "step": 51
332
+ },
333
+ {
334
+ "epoch": 0.93,
335
+ "learning_rate": 2.3472963553338614e-05,
336
+ "loss": 0.5859,
337
+ "step": 52
338
+ },
339
+ {
340
+ "epoch": 0.95,
341
+ "learning_rate": 2.2898637186144935e-05,
342
+ "loss": 0.5078,
343
+ "step": 53
344
+ },
345
+ {
346
+ "epoch": 0.96,
347
+ "learning_rate": 2.2321858282504606e-05,
348
+ "loss": 0.332,
349
+ "step": 54
350
+ },
351
+ {
352
+ "epoch": 0.98,
353
+ "learning_rate": 2.174311485495317e-05,
354
+ "loss": 0.6758,
355
+ "step": 55
356
+ },
357
+ {
358
+ "epoch": 1.0,
359
+ "learning_rate": 2.1162896578209517e-05,
360
+ "loss": 0.7812,
361
+ "step": 56
362
+ },
363
+ {
364
+ "epoch": 1.02,
365
+ "learning_rate": 2.058169437486223e-05,
366
+ "loss": 0.3379,
367
+ "step": 57
368
+ },
369
+ {
370
+ "epoch": 1.03,
371
+ "learning_rate": 2e-05,
372
+ "loss": 0.3945,
373
+ "step": 58
374
+ },
375
+ {
376
+ "epoch": 1.05,
377
+ "learning_rate": 1.9418305625137773e-05,
378
+ "loss": 0.4141,
379
+ "step": 59
380
+ },
381
+ {
382
+ "epoch": 1.07,
383
+ "learning_rate": 1.8837103421790486e-05,
384
+ "loss": 0.5352,
385
+ "step": 60
386
+ },
387
+ {
388
+ "epoch": 1.07,
389
+ "eval_loss": 0.6122210621833801,
390
+ "eval_runtime": 324.6814,
391
+ "eval_samples_per_second": 1.389,
392
+ "eval_steps_per_second": 0.696,
393
+ "step": 60
394
+ },
395
+ {
396
+ "epoch": 1.09,
397
+ "learning_rate": 1.8256885145046837e-05,
398
+ "loss": 0.293,
399
+ "step": 61
400
+ },
401
+ {
402
+ "epoch": 1.11,
403
+ "learning_rate": 1.7678141717495394e-05,
404
+ "loss": 0.3887,
405
+ "step": 62
406
+ },
407
+ {
408
+ "epoch": 1.12,
409
+ "learning_rate": 1.7101362813855068e-05,
410
+ "loss": 0.3613,
411
+ "step": 63
412
+ },
413
+ {
414
+ "epoch": 1.14,
415
+ "learning_rate": 1.6527036446661396e-05,
416
+ "loss": 0.2754,
417
+ "step": 64
418
+ },
419
+ {
420
+ "epoch": 1.16,
421
+ "learning_rate": 1.5955648553359247e-05,
422
+ "loss": 0.4277,
423
+ "step": 65
424
+ },
425
+ {
426
+ "epoch": 1.18,
427
+ "learning_rate": 1.53876825851512e-05,
428
+ "loss": 0.4199,
429
+ "step": 66
430
+ },
431
+ {
432
+ "epoch": 1.2,
433
+ "learning_rate": 1.4823619097949584e-05,
434
+ "loss": 0.5,
435
+ "step": 67
436
+ },
437
+ {
438
+ "epoch": 1.21,
439
+ "learning_rate": 1.4263935345778202e-05,
440
+ "loss": 0.3555,
441
+ "step": 68
442
+ },
443
+ {
444
+ "epoch": 1.23,
445
+ "learning_rate": 1.3709104876967732e-05,
446
+ "loss": 0.5,
447
+ "step": 69
448
+ },
449
+ {
450
+ "epoch": 1.25,
451
+ "learning_rate": 1.3159597133486628e-05,
452
+ "loss": 0.4609,
453
+ "step": 70
454
+ },
455
+ {
456
+ "epoch": 1.27,
457
+ "learning_rate": 1.2615877053746315e-05,
458
+ "loss": 0.3887,
459
+ "step": 71
460
+ },
461
+ {
462
+ "epoch": 1.28,
463
+ "learning_rate": 1.2078404679216864e-05,
464
+ "loss": 0.7617,
465
+ "step": 72
466
+ },
467
+ {
468
+ "epoch": 1.3,
469
+ "learning_rate": 1.1547634765186016e-05,
470
+ "loss": 0.377,
471
+ "step": 73
472
+ },
473
+ {
474
+ "epoch": 1.32,
475
+ "learning_rate": 1.1024016395990758e-05,
476
+ "loss": 0.3477,
477
+ "step": 74
478
+ },
479
+ {
480
+ "epoch": 1.34,
481
+ "learning_rate": 1.0507992605047193e-05,
482
+ "loss": 0.3223,
483
+ "step": 75
484
+ },
485
+ {
486
+ "epoch": 1.36,
487
+ "learning_rate": 1.0000000000000006e-05,
488
+ "loss": 0.457,
489
+ "step": 76
490
+ },
491
+ {
492
+ "epoch": 1.37,
493
+ "learning_rate": 9.5004683933088e-06,
494
+ "loss": 0.4785,
495
+ "step": 77
496
+ },
497
+ {
498
+ "epoch": 1.39,
499
+ "learning_rate": 9.009820438583881e-06,
500
+ "loss": 0.3438,
501
+ "step": 78
502
+ },
503
+ {
504
+ "epoch": 1.41,
505
+ "learning_rate": 8.528471272979083e-06,
506
+ "loss": 0.3867,
507
+ "step": 79
508
+ },
509
+ {
510
+ "epoch": 1.43,
511
+ "learning_rate": 8.056828165944282e-06,
512
+ "loss": 0.5742,
513
+ "step": 80
514
+ },
515
+ {
516
+ "epoch": 1.43,
517
+ "eval_loss": 0.6239878535270691,
518
+ "eval_runtime": 319.0711,
519
+ "eval_samples_per_second": 1.413,
520
+ "eval_steps_per_second": 0.708,
521
+ "step": 80
522
+ }
523
+ ],
524
+ "logging_steps": 1,
525
+ "max_steps": 112,
526
+ "num_input_tokens_seen": 0,
527
+ "num_train_epochs": 2,
528
+ "save_steps": 40,
529
+ "total_flos": 4979777395845120.0,
530
+ "train_batch_size": 2,
531
+ "trial_name": null,
532
+ "trial_params": null
533
+ }
4e_5_r8_2VQAlora2nd/checkpoints/r82_4e-5VQA_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-80/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1f73ff44b36523bfd37fc79f37cdae3c4041859200e83d922156941e7db0343f
3
+ size 4792
4e_5_r8_2VQAlora2nd/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1f73ff44b36523bfd37fc79f37cdae3c4041859200e83d922156941e7db0343f
3
+ size 4792