- .DS_Store +0 -0
- {5epochLORASLAKE β 3epochslake}/README.md +0 -0
- {5epochLORASLAKE β 3epochslake}/adapter_config.json +0 -0
- {5epochLORASLAKE β 3epochslake}/adapter_model.safetensors +0 -0
- {5epochLORASLAKE β 3epochslake}/checkpoints_5S/5epochLS_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-360/README.md +0 -0
- {5epochLORASLAKE β 3epochslake}/checkpoints_5S/5epochLS_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-360/adapter_config.json +0 -0
- {5epochLORASLAKE β 3epochslake}/checkpoints_5S/5epochLS_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-360/adapter_model.safetensors +0 -0
- {5epochLORASLAKE β 3epochslake}/checkpoints_5S/5epochLS_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-360/optimizer.pt +0 -0
- {5epochLORASLAKE β 3epochslake}/checkpoints_5S/5epochLS_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-360/rng_state.pth +0 -0
- {5epochLORASLAKE β 3epochslake}/checkpoints_5S/5epochLS_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-360/scheduler.pt +0 -0
- {5epochLORASLAKE β 3epochslake}/checkpoints_5S/5epochLS_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-360/trainer_state.json +0 -0
- {5epochLORASLAKE β 3epochslake}/checkpoints_5S/5epochLS_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-360/training_args.bin +0 -0
- {5epochLORASLAKE β 3epochslake}/training_args.bin +0 -0
- checkpoints_7fu/futher7_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-60/README.md +0 -202
- checkpoints_7fu/futher7_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-60/adapter_config.json +0 -38
- checkpoints_7fu/futher7_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-60/adapter_model.safetensors +0 -3
- checkpoints_7fu/futher7_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-60/optimizer.pt +0 -3
- checkpoints_7fu/futher7_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-60/rng_state.pth +0 -3
- checkpoints_7fu/futher7_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-60/scheduler.pt +0 -3
- checkpoints_7fu/futher7_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-60/trainer_state.json +0 -473
- checkpoints_7fu/futher7_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-60/training_args.bin +0 -3
.DS_Store
ADDED
Binary file (6.15 kB). View file
|
|
{5epochLORASLAKE β 3epochslake}/README.md
RENAMED
File without changes
|
{5epochLORASLAKE β 3epochslake}/adapter_config.json
RENAMED
File without changes
|
{5epochLORASLAKE β 3epochslake}/adapter_model.safetensors
RENAMED
File without changes
|
{5epochLORASLAKE β 3epochslake}/checkpoints_5S/5epochLS_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-360/README.md
RENAMED
File without changes
|
{5epochLORASLAKE β 3epochslake}/checkpoints_5S/5epochLS_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-360/adapter_config.json
RENAMED
File without changes
|
{5epochLORASLAKE β 3epochslake}/checkpoints_5S/5epochLS_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-360/adapter_model.safetensors
RENAMED
File without changes
|
{5epochLORASLAKE β 3epochslake}/checkpoints_5S/5epochLS_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-360/optimizer.pt
RENAMED
File without changes
|
{5epochLORASLAKE β 3epochslake}/checkpoints_5S/5epochLS_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-360/rng_state.pth
RENAMED
File without changes
|
{5epochLORASLAKE β 3epochslake}/checkpoints_5S/5epochLS_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-360/scheduler.pt
RENAMED
File without changes
|
{5epochLORASLAKE β 3epochslake}/checkpoints_5S/5epochLS_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-360/trainer_state.json
RENAMED
File without changes
|
{5epochLORASLAKE β 3epochslake}/checkpoints_5S/5epochLS_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-360/training_args.bin
RENAMED
File without changes
|
{5epochLORASLAKE β 3epochslake}/training_args.bin
RENAMED
File without changes
|
checkpoints_7fu/futher7_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-60/README.md
DELETED
@@ -1,202 +0,0 @@
|
|
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
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
checkpoints_7fu/futher7_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-60/adapter_config.json
DELETED
@@ -1,38 +0,0 @@
|
|
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": 64,
|
17 |
-
"lora_dropout": 0.1,
|
18 |
-
"megatron_config": null,
|
19 |
-
"megatron_core": "megatron.core",
|
20 |
-
"modules_to_save": [
|
21 |
-
"mm_projector"
|
22 |
-
],
|
23 |
-
"peft_type": "LORA",
|
24 |
-
"r": 32,
|
25 |
-
"rank_pattern": {},
|
26 |
-
"revision": null,
|
27 |
-
"target_modules": [
|
28 |
-
"down_proj",
|
29 |
-
"q_proj",
|
30 |
-
"k_proj",
|
31 |
-
"v_proj",
|
32 |
-
"gate_proj",
|
33 |
-
"up_proj"
|
34 |
-
],
|
35 |
-
"task_type": null,
|
36 |
-
"use_dora": false,
|
37 |
-
"use_rslora": false
|
38 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
checkpoints_7fu/futher7_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-60/adapter_model.safetensors
DELETED
@@ -1,3 +0,0 @@
|
|
1 |
-
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:9d4424d204cf7b1da05f638456c73e234c45b0c8baf417af47f6040b7fb8de54
|
3 |
-
size 202470344
|
|
|
|
|
|
|
|
checkpoints_7fu/futher7_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-60/optimizer.pt
DELETED
@@ -1,3 +0,0 @@
|
|
1 |
-
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:09ff2184783dcec0146faa6f6fbe107d98cc72bd9ae174cb838f1b04e50230cc
|
3 |
-
size 386238366
|
|
|
|
|
|
|
|
checkpoints_7fu/futher7_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-60/rng_state.pth
DELETED
@@ -1,3 +0,0 @@
|
|
1 |
-
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:f0660d743e5f67f346fee763a4640e358c76c961a7f17a7ac6ca6a97a1a72e54
|
3 |
-
size 14244
|
|
|
|
|
|
|
|
checkpoints_7fu/futher7_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-60/scheduler.pt
DELETED
@@ -1,3 +0,0 @@
|
|
1 |
-
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:a1c743ff517303f4ef02a3d7a67dd35a655917395fd4980e9d9da96ef2409834
|
3 |
-
size 1000
|
|
|
|
|
|
|
|
checkpoints_7fu/futher7_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-60/trainer_state.json
DELETED
@@ -1,473 +0,0 @@
|
|
1 |
-
{
|
2 |
-
"best_metric": 0.12878087162971497,
|
3 |
-
"best_model_checkpoint": "/workspace/checkpoints_7fu/futher7_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-60",
|
4 |
-
"epoch": 0.7804878048780488,
|
5 |
-
"eval_steps": 15,
|
6 |
-
"global_step": 60,
|
7 |
-
"is_hyper_param_search": false,
|
8 |
-
"is_local_process_zero": true,
|
9 |
-
"is_world_process_zero": true,
|
10 |
-
"log_history": [
|
11 |
-
{
|
12 |
-
"epoch": 0.013008130081300813,
|
13 |
-
"grad_norm": 1.875,
|
14 |
-
"learning_rate": 3.3333333333333333e-06,
|
15 |
-
"loss": 0.0669,
|
16 |
-
"step": 1
|
17 |
-
},
|
18 |
-
{
|
19 |
-
"epoch": 0.026016260162601626,
|
20 |
-
"grad_norm": 2.03125,
|
21 |
-
"learning_rate": 6.666666666666667e-06,
|
22 |
-
"loss": 0.0549,
|
23 |
-
"step": 2
|
24 |
-
},
|
25 |
-
{
|
26 |
-
"epoch": 0.03902439024390244,
|
27 |
-
"grad_norm": 1.9609375,
|
28 |
-
"learning_rate": 1e-05,
|
29 |
-
"loss": 0.0732,
|
30 |
-
"step": 3
|
31 |
-
},
|
32 |
-
{
|
33 |
-
"epoch": 0.05203252032520325,
|
34 |
-
"grad_norm": 1.953125,
|
35 |
-
"learning_rate": 9.995370575511151e-06,
|
36 |
-
"loss": 0.0596,
|
37 |
-
"step": 4
|
38 |
-
},
|
39 |
-
{
|
40 |
-
"epoch": 0.06504065040650407,
|
41 |
-
"grad_norm": 2.359375,
|
42 |
-
"learning_rate": 9.98149087467304e-06,
|
43 |
-
"loss": 0.0898,
|
44 |
-
"step": 5
|
45 |
-
},
|
46 |
-
{
|
47 |
-
"epoch": 0.07804878048780488,
|
48 |
-
"grad_norm": 2.734375,
|
49 |
-
"learning_rate": 9.95838659949645e-06,
|
50 |
-
"loss": 0.1064,
|
51 |
-
"step": 6
|
52 |
-
},
|
53 |
-
{
|
54 |
-
"epoch": 0.0910569105691057,
|
55 |
-
"grad_norm": 2.484375,
|
56 |
-
"learning_rate": 9.926100533780304e-06,
|
57 |
-
"loss": 0.0742,
|
58 |
-
"step": 7
|
59 |
-
},
|
60 |
-
{
|
61 |
-
"epoch": 0.1040650406504065,
|
62 |
-
"grad_norm": 2.421875,
|
63 |
-
"learning_rate": 9.88469246388591e-06,
|
64 |
-
"loss": 0.0698,
|
65 |
-
"step": 8
|
66 |
-
},
|
67 |
-
{
|
68 |
-
"epoch": 0.11707317073170732,
|
69 |
-
"grad_norm": 2.09375,
|
70 |
-
"learning_rate": 9.834239068026388e-06,
|
71 |
-
"loss": 0.0625,
|
72 |
-
"step": 9
|
73 |
-
},
|
74 |
-
{
|
75 |
-
"epoch": 0.13008130081300814,
|
76 |
-
"grad_norm": 1.78125,
|
77 |
-
"learning_rate": 9.774833774276278e-06,
|
78 |
-
"loss": 0.0369,
|
79 |
-
"step": 10
|
80 |
-
},
|
81 |
-
{
|
82 |
-
"epoch": 0.14308943089430895,
|
83 |
-
"grad_norm": 2.859375,
|
84 |
-
"learning_rate": 9.706586587564236e-06,
|
85 |
-
"loss": 0.127,
|
86 |
-
"step": 11
|
87 |
-
},
|
88 |
-
{
|
89 |
-
"epoch": 0.15609756097560976,
|
90 |
-
"grad_norm": 3.21875,
|
91 |
-
"learning_rate": 9.62962388596925e-06,
|
92 |
-
"loss": 0.1025,
|
93 |
-
"step": 12
|
94 |
-
},
|
95 |
-
{
|
96 |
-
"epoch": 0.16910569105691056,
|
97 |
-
"grad_norm": 3.59375,
|
98 |
-
"learning_rate": 9.544088186697515e-06,
|
99 |
-
"loss": 0.0713,
|
100 |
-
"step": 13
|
101 |
-
},
|
102 |
-
{
|
103 |
-
"epoch": 0.1821138211382114,
|
104 |
-
"grad_norm": 3.171875,
|
105 |
-
"learning_rate": 9.450137882173385e-06,
|
106 |
-
"loss": 0.1118,
|
107 |
-
"step": 14
|
108 |
-
},
|
109 |
-
{
|
110 |
-
"epoch": 0.1951219512195122,
|
111 |
-
"grad_norm": 2.171875,
|
112 |
-
"learning_rate": 9.347946946733055e-06,
|
113 |
-
"loss": 0.0659,
|
114 |
-
"step": 15
|
115 |
-
},
|
116 |
-
{
|
117 |
-
"epoch": 0.1951219512195122,
|
118 |
-
"eval_loss": 0.14803729951381683,
|
119 |
-
"eval_runtime": 1994.1875,
|
120 |
-
"eval_samples_per_second": 0.528,
|
121 |
-
"eval_steps_per_second": 0.132,
|
122 |
-
"step": 15
|
123 |
-
},
|
124 |
-
{
|
125 |
-
"epoch": 0.208130081300813,
|
126 |
-
"grad_norm": 3.5625,
|
127 |
-
"learning_rate": 9.237704614464157e-06,
|
128 |
-
"loss": 0.1201,
|
129 |
-
"step": 16
|
130 |
-
},
|
131 |
-
{
|
132 |
-
"epoch": 0.22113821138211381,
|
133 |
-
"grad_norm": 1.84375,
|
134 |
-
"learning_rate": 9.119615028787771e-06,
|
135 |
-
"loss": 0.0659,
|
136 |
-
"step": 17
|
137 |
-
},
|
138 |
-
{
|
139 |
-
"epoch": 0.23414634146341465,
|
140 |
-
"grad_norm": 2.65625,
|
141 |
-
"learning_rate": 8.993896864431825e-06,
|
142 |
-
"loss": 0.1035,
|
143 |
-
"step": 18
|
144 |
-
},
|
145 |
-
{
|
146 |
-
"epoch": 0.24715447154471545,
|
147 |
-
"grad_norm": 2.046875,
|
148 |
-
"learning_rate": 8.860782922495821e-06,
|
149 |
-
"loss": 0.0747,
|
150 |
-
"step": 19
|
151 |
-
},
|
152 |
-
{
|
153 |
-
"epoch": 0.2601626016260163,
|
154 |
-
"grad_norm": 1.921875,
|
155 |
-
"learning_rate": 8.720519699356804e-06,
|
156 |
-
"loss": 0.0869,
|
157 |
-
"step": 20
|
158 |
-
},
|
159 |
-
{
|
160 |
-
"epoch": 0.2731707317073171,
|
161 |
-
"grad_norm": 1.765625,
|
162 |
-
"learning_rate": 8.573366930214807e-06,
|
163 |
-
"loss": 0.0405,
|
164 |
-
"step": 21
|
165 |
-
},
|
166 |
-
{
|
167 |
-
"epoch": 0.2861788617886179,
|
168 |
-
"grad_norm": 1.7578125,
|
169 |
-
"learning_rate": 8.419597108123054e-06,
|
170 |
-
"loss": 0.0549,
|
171 |
-
"step": 22
|
172 |
-
},
|
173 |
-
{
|
174 |
-
"epoch": 0.2991869918699187,
|
175 |
-
"grad_norm": 2.609375,
|
176 |
-
"learning_rate": 8.259494979393563e-06,
|
177 |
-
"loss": 0.0859,
|
178 |
-
"step": 23
|
179 |
-
},
|
180 |
-
{
|
181 |
-
"epoch": 0.3121951219512195,
|
182 |
-
"grad_norm": 3.359375,
|
183 |
-
"learning_rate": 8.093357016312518e-06,
|
184 |
-
"loss": 0.103,
|
185 |
-
"step": 24
|
186 |
-
},
|
187 |
-
{
|
188 |
-
"epoch": 0.3252032520325203,
|
189 |
-
"grad_norm": 2.4375,
|
190 |
-
"learning_rate": 7.921490868141843e-06,
|
191 |
-
"loss": 0.0928,
|
192 |
-
"step": 25
|
193 |
-
},
|
194 |
-
{
|
195 |
-
"epoch": 0.3382113821138211,
|
196 |
-
"grad_norm": 2.0,
|
197 |
-
"learning_rate": 7.744214791423597e-06,
|
198 |
-
"loss": 0.0603,
|
199 |
-
"step": 26
|
200 |
-
},
|
201 |
-
{
|
202 |
-
"epoch": 0.35121951219512193,
|
203 |
-
"grad_norm": 1.734375,
|
204 |
-
"learning_rate": 7.56185706064212e-06,
|
205 |
-
"loss": 0.0559,
|
206 |
-
"step": 27
|
207 |
-
},
|
208 |
-
{
|
209 |
-
"epoch": 0.3642276422764228,
|
210 |
-
"grad_norm": 2.9375,
|
211 |
-
"learning_rate": 7.374755360335253e-06,
|
212 |
-
"loss": 0.0781,
|
213 |
-
"step": 28
|
214 |
-
},
|
215 |
-
{
|
216 |
-
"epoch": 0.3772357723577236,
|
217 |
-
"grad_norm": 1.8671875,
|
218 |
-
"learning_rate": 7.183256159780321e-06,
|
219 |
-
"loss": 0.0723,
|
220 |
-
"step": 29
|
221 |
-
},
|
222 |
-
{
|
223 |
-
"epoch": 0.3902439024390244,
|
224 |
-
"grad_norm": 1.4453125,
|
225 |
-
"learning_rate": 6.987714071412781e-06,
|
226 |
-
"loss": 0.0364,
|
227 |
-
"step": 30
|
228 |
-
},
|
229 |
-
{
|
230 |
-
"epoch": 0.3902439024390244,
|
231 |
-
"eval_loss": 0.13480448722839355,
|
232 |
-
"eval_runtime": 1949.6926,
|
233 |
-
"eval_samples_per_second": 0.54,
|
234 |
-
"eval_steps_per_second": 0.135,
|
235 |
-
"step": 30
|
236 |
-
},
|
237 |
-
{
|
238 |
-
"epoch": 0.4032520325203252,
|
239 |
-
"grad_norm": 2.046875,
|
240 |
-
"learning_rate": 6.788491194165629e-06,
|
241 |
-
"loss": 0.0552,
|
242 |
-
"step": 31
|
243 |
-
},
|
244 |
-
{
|
245 |
-
"epoch": 0.416260162601626,
|
246 |
-
"grad_norm": 1.2109375,
|
247 |
-
"learning_rate": 6.585956442945531e-06,
|
248 |
-
"loss": 0.0432,
|
249 |
-
"step": 32
|
250 |
-
},
|
251 |
-
{
|
252 |
-
"epoch": 0.4292682926829268,
|
253 |
-
"grad_norm": 3.640625,
|
254 |
-
"learning_rate": 6.380484865487346e-06,
|
255 |
-
"loss": 0.1191,
|
256 |
-
"step": 33
|
257 |
-
},
|
258 |
-
{
|
259 |
-
"epoch": 0.44227642276422763,
|
260 |
-
"grad_norm": 2.21875,
|
261 |
-
"learning_rate": 6.1724569478520495e-06,
|
262 |
-
"loss": 0.0903,
|
263 |
-
"step": 34
|
264 |
-
},
|
265 |
-
{
|
266 |
-
"epoch": 0.45528455284552843,
|
267 |
-
"grad_norm": 1.328125,
|
268 |
-
"learning_rate": 5.96225790985415e-06,
|
269 |
-
"loss": 0.083,
|
270 |
-
"step": 35
|
271 |
-
},
|
272 |
-
{
|
273 |
-
"epoch": 0.4682926829268293,
|
274 |
-
"grad_norm": 2.984375,
|
275 |
-
"learning_rate": 5.7502769917232635e-06,
|
276 |
-
"loss": 0.0825,
|
277 |
-
"step": 36
|
278 |
-
},
|
279 |
-
{
|
280 |
-
"epoch": 0.4813008130081301,
|
281 |
-
"grad_norm": 2.109375,
|
282 |
-
"learning_rate": 5.536906733320816e-06,
|
283 |
-
"loss": 0.085,
|
284 |
-
"step": 37
|
285 |
-
},
|
286 |
-
{
|
287 |
-
"epoch": 0.4943089430894309,
|
288 |
-
"grad_norm": 2.53125,
|
289 |
-
"learning_rate": 5.322542247246583e-06,
|
290 |
-
"loss": 0.1406,
|
291 |
-
"step": 38
|
292 |
-
},
|
293 |
-
{
|
294 |
-
"epoch": 0.5073170731707317,
|
295 |
-
"grad_norm": 2.3125,
|
296 |
-
"learning_rate": 5.107580487181112e-06,
|
297 |
-
"loss": 0.1099,
|
298 |
-
"step": 39
|
299 |
-
},
|
300 |
-
{
|
301 |
-
"epoch": 0.5203252032520326,
|
302 |
-
"grad_norm": 1.7421875,
|
303 |
-
"learning_rate": 4.89241951281889e-06,
|
304 |
-
"loss": 0.0654,
|
305 |
-
"step": 40
|
306 |
-
},
|
307 |
-
{
|
308 |
-
"epoch": 0.5333333333333333,
|
309 |
-
"grad_norm": 2.171875,
|
310 |
-
"learning_rate": 4.6774577527534195e-06,
|
311 |
-
"loss": 0.0845,
|
312 |
-
"step": 41
|
313 |
-
},
|
314 |
-
{
|
315 |
-
"epoch": 0.5463414634146342,
|
316 |
-
"grad_norm": 2.28125,
|
317 |
-
"learning_rate": 4.463093266679185e-06,
|
318 |
-
"loss": 0.0786,
|
319 |
-
"step": 42
|
320 |
-
},
|
321 |
-
{
|
322 |
-
"epoch": 0.5593495934959349,
|
323 |
-
"grad_norm": 3.078125,
|
324 |
-
"learning_rate": 4.249723008276737e-06,
|
325 |
-
"loss": 0.0874,
|
326 |
-
"step": 43
|
327 |
-
},
|
328 |
-
{
|
329 |
-
"epoch": 0.5723577235772358,
|
330 |
-
"grad_norm": 2.078125,
|
331 |
-
"learning_rate": 4.037742090145851e-06,
|
332 |
-
"loss": 0.0693,
|
333 |
-
"step": 44
|
334 |
-
},
|
335 |
-
{
|
336 |
-
"epoch": 0.5853658536585366,
|
337 |
-
"grad_norm": 2.09375,
|
338 |
-
"learning_rate": 3.827543052147952e-06,
|
339 |
-
"loss": 0.0645,
|
340 |
-
"step": 45
|
341 |
-
},
|
342 |
-
{
|
343 |
-
"epoch": 0.5853658536585366,
|
344 |
-
"eval_loss": 0.13093312084674835,
|
345 |
-
"eval_runtime": 1950.5511,
|
346 |
-
"eval_samples_per_second": 0.54,
|
347 |
-
"eval_steps_per_second": 0.135,
|
348 |
-
"step": 45
|
349 |
-
},
|
350 |
-
{
|
351 |
-
"epoch": 0.5983739837398374,
|
352 |
-
"grad_norm": 1.8203125,
|
353 |
-
"learning_rate": 3.6195151345126556e-06,
|
354 |
-
"loss": 0.0603,
|
355 |
-
"step": 46
|
356 |
-
},
|
357 |
-
{
|
358 |
-
"epoch": 0.6113821138211382,
|
359 |
-
"grad_norm": 2.140625,
|
360 |
-
"learning_rate": 3.4140435570544708e-06,
|
361 |
-
"loss": 0.0703,
|
362 |
-
"step": 47
|
363 |
-
},
|
364 |
-
{
|
365 |
-
"epoch": 0.624390243902439,
|
366 |
-
"grad_norm": 2.421875,
|
367 |
-
"learning_rate": 3.2115088058343725e-06,
|
368 |
-
"loss": 0.0732,
|
369 |
-
"step": 48
|
370 |
-
},
|
371 |
-
{
|
372 |
-
"epoch": 0.6373983739837399,
|
373 |
-
"grad_norm": 2.25,
|
374 |
-
"learning_rate": 3.0122859285872214e-06,
|
375 |
-
"loss": 0.0649,
|
376 |
-
"step": 49
|
377 |
-
},
|
378 |
-
{
|
379 |
-
"epoch": 0.6504065040650406,
|
380 |
-
"grad_norm": 3.671875,
|
381 |
-
"learning_rate": 2.816743840219681e-06,
|
382 |
-
"loss": 0.1572,
|
383 |
-
"step": 50
|
384 |
-
},
|
385 |
-
{
|
386 |
-
"epoch": 0.6634146341463415,
|
387 |
-
"grad_norm": 3.1875,
|
388 |
-
"learning_rate": 2.6252446396647503e-06,
|
389 |
-
"loss": 0.0898,
|
390 |
-
"step": 51
|
391 |
-
},
|
392 |
-
{
|
393 |
-
"epoch": 0.6764227642276422,
|
394 |
-
"grad_norm": 1.765625,
|
395 |
-
"learning_rate": 2.438142939357882e-06,
|
396 |
-
"loss": 0.0518,
|
397 |
-
"step": 52
|
398 |
-
},
|
399 |
-
{
|
400 |
-
"epoch": 0.6894308943089431,
|
401 |
-
"grad_norm": 2.203125,
|
402 |
-
"learning_rate": 2.2557852085764053e-06,
|
403 |
-
"loss": 0.0845,
|
404 |
-
"step": 53
|
405 |
-
},
|
406 |
-
{
|
407 |
-
"epoch": 0.7024390243902439,
|
408 |
-
"grad_norm": 2.578125,
|
409 |
-
"learning_rate": 2.0785091318581577e-06,
|
410 |
-
"loss": 0.0728,
|
411 |
-
"step": 54
|
412 |
-
},
|
413 |
-
{
|
414 |
-
"epoch": 0.7154471544715447,
|
415 |
-
"grad_norm": 2.25,
|
416 |
-
"learning_rate": 1.9066429836874844e-06,
|
417 |
-
"loss": 0.0713,
|
418 |
-
"step": 55
|
419 |
-
},
|
420 |
-
{
|
421 |
-
"epoch": 0.7284552845528456,
|
422 |
-
"grad_norm": 1.6640625,
|
423 |
-
"learning_rate": 1.7405050206064372e-06,
|
424 |
-
"loss": 0.0625,
|
425 |
-
"step": 56
|
426 |
-
},
|
427 |
-
{
|
428 |
-
"epoch": 0.7414634146341463,
|
429 |
-
"grad_norm": 2.90625,
|
430 |
-
"learning_rate": 1.5804028918769488e-06,
|
431 |
-
"loss": 0.1079,
|
432 |
-
"step": 57
|
433 |
-
},
|
434 |
-
{
|
435 |
-
"epoch": 0.7544715447154472,
|
436 |
-
"grad_norm": 1.9609375,
|
437 |
-
"learning_rate": 1.4266330697851955e-06,
|
438 |
-
"loss": 0.0996,
|
439 |
-
"step": 58
|
440 |
-
},
|
441 |
-
{
|
442 |
-
"epoch": 0.767479674796748,
|
443 |
-
"grad_norm": 2.375,
|
444 |
-
"learning_rate": 1.2794803006431984e-06,
|
445 |
-
"loss": 0.0684,
|
446 |
-
"step": 59
|
447 |
-
},
|
448 |
-
{
|
449 |
-
"epoch": 0.7804878048780488,
|
450 |
-
"grad_norm": 1.4140625,
|
451 |
-
"learning_rate": 1.1392170775041788e-06,
|
452 |
-
"loss": 0.0371,
|
453 |
-
"step": 60
|
454 |
-
},
|
455 |
-
{
|
456 |
-
"epoch": 0.7804878048780488,
|
457 |
-
"eval_loss": 0.12878087162971497,
|
458 |
-
"eval_runtime": 1967.3809,
|
459 |
-
"eval_samples_per_second": 0.535,
|
460 |
-
"eval_steps_per_second": 0.134,
|
461 |
-
"step": 60
|
462 |
-
}
|
463 |
-
],
|
464 |
-
"logging_steps": 1,
|
465 |
-
"max_steps": 76,
|
466 |
-
"num_input_tokens_seen": 0,
|
467 |
-
"num_train_epochs": 1,
|
468 |
-
"save_steps": 30,
|
469 |
-
"total_flos": 7891564556894208.0,
|
470 |
-
"train_batch_size": 4,
|
471 |
-
"trial_name": null,
|
472 |
-
"trial_params": null
|
473 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
checkpoints_7fu/futher7_ROCO2nd_RSV_llava-v1.6-mistral_PMC/checkpoint-60/training_args.bin
DELETED
@@ -1,3 +0,0 @@
|
|
1 |
-
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:0e84838e2fb31aaa52c48657377221e5fbac79df833ea8adc0cdf4d6c7f4fc01
|
3 |
-
size 5112
|
|
|
|
|
|
|
|