Upload 5 files
Browse files- README.md +202 -0
- adapter_config.json +33 -0
- adapter_model.safetensors +3 -0
- trainer_state.json +910 -0
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: llava-hf/llava-1.5-7b-hf
|
3 |
+
library_name: peft
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.13.2
|
adapter_config.json
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "llava-hf/llava-1.5-7b-hf",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 16,
|
14 |
+
"lora_dropout": 0.05,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": [
|
18 |
+
"multi_modal_projector"
|
19 |
+
],
|
20 |
+
"peft_type": "LORA",
|
21 |
+
"r": 32,
|
22 |
+
"rank_pattern": {},
|
23 |
+
"revision": null,
|
24 |
+
"target_modules": [
|
25 |
+
"q_proj",
|
26 |
+
"k_proj",
|
27 |
+
"v_proj",
|
28 |
+
"o_proj"
|
29 |
+
],
|
30 |
+
"task_type": "CAUSAL_LM",
|
31 |
+
"use_dora": false,
|
32 |
+
"use_rslora": false
|
33 |
+
}
|
adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:67b3bac7b69aa76ae5be6d23c2d3edd35b199e34fddebd3c92c1bf6132837a5f
|
3 |
+
size 118568352
|
trainer_state.json
ADDED
@@ -0,0 +1,910 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 17.77459749552773,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1242,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.14311270125223613,
|
13 |
+
"grad_norm": 7.146514892578125,
|
14 |
+
"learning_rate": 0.00039677938808373593,
|
15 |
+
"loss": 3.5751,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.28622540250447226,
|
20 |
+
"grad_norm": 2.1325223445892334,
|
21 |
+
"learning_rate": 0.00039355877616747184,
|
22 |
+
"loss": 0.939,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.4293381037567084,
|
27 |
+
"grad_norm": 0.8520782589912415,
|
28 |
+
"learning_rate": 0.00039033816425120774,
|
29 |
+
"loss": 0.2653,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.5724508050089445,
|
34 |
+
"grad_norm": 0.7653748393058777,
|
35 |
+
"learning_rate": 0.00038711755233494365,
|
36 |
+
"loss": 0.1603,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.7155635062611807,
|
41 |
+
"grad_norm": 0.661469578742981,
|
42 |
+
"learning_rate": 0.00038389694041867956,
|
43 |
+
"loss": 0.1886,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.8586762075134168,
|
48 |
+
"grad_norm": 0.39610955119132996,
|
49 |
+
"learning_rate": 0.00038067632850241547,
|
50 |
+
"loss": 0.1859,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 1.0017889087656529,
|
55 |
+
"grad_norm": 0.4488755464553833,
|
56 |
+
"learning_rate": 0.0003774557165861514,
|
57 |
+
"loss": 0.1538,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 1.144901610017889,
|
62 |
+
"grad_norm": 0.2944377362728119,
|
63 |
+
"learning_rate": 0.00037423510466988734,
|
64 |
+
"loss": 0.1195,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 1.2880143112701252,
|
69 |
+
"grad_norm": 0.29124024510383606,
|
70 |
+
"learning_rate": 0.0003710144927536232,
|
71 |
+
"loss": 0.1271,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 1.4311270125223614,
|
76 |
+
"grad_norm": 0.42328736186027527,
|
77 |
+
"learning_rate": 0.0003677938808373591,
|
78 |
+
"loss": 0.1018,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 1.5742397137745976,
|
83 |
+
"grad_norm": 0.3259565234184265,
|
84 |
+
"learning_rate": 0.00036457326892109506,
|
85 |
+
"loss": 0.0848,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 1.7173524150268338,
|
90 |
+
"grad_norm": 0.479124516248703,
|
91 |
+
"learning_rate": 0.0003613526570048309,
|
92 |
+
"loss": 0.106,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 1.8604651162790697,
|
97 |
+
"grad_norm": 0.40788090229034424,
|
98 |
+
"learning_rate": 0.0003581320450885668,
|
99 |
+
"loss": 0.0969,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 2.0035778175313057,
|
104 |
+
"grad_norm": 0.3574964106082916,
|
105 |
+
"learning_rate": 0.0003549114331723028,
|
106 |
+
"loss": 0.124,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 2.146690518783542,
|
111 |
+
"grad_norm": 0.37805065512657166,
|
112 |
+
"learning_rate": 0.0003516908212560387,
|
113 |
+
"loss": 0.0491,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 2.289803220035778,
|
118 |
+
"grad_norm": 0.25937220454216003,
|
119 |
+
"learning_rate": 0.00034847020933977455,
|
120 |
+
"loss": 0.0669,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 2.4329159212880143,
|
125 |
+
"grad_norm": 0.34056201577186584,
|
126 |
+
"learning_rate": 0.00034524959742351046,
|
127 |
+
"loss": 0.0595,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 2.5760286225402504,
|
132 |
+
"grad_norm": 0.30211707949638367,
|
133 |
+
"learning_rate": 0.0003420289855072464,
|
134 |
+
"loss": 0.0648,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 2.7191413237924866,
|
139 |
+
"grad_norm": 0.18458786606788635,
|
140 |
+
"learning_rate": 0.0003388083735909823,
|
141 |
+
"loss": 0.0545,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 2.862254025044723,
|
146 |
+
"grad_norm": 0.27384912967681885,
|
147 |
+
"learning_rate": 0.0003355877616747182,
|
148 |
+
"loss": 0.0684,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 3.005366726296959,
|
153 |
+
"grad_norm": 0.16877304017543793,
|
154 |
+
"learning_rate": 0.00033236714975845414,
|
155 |
+
"loss": 0.0695,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 3.148479427549195,
|
160 |
+
"grad_norm": 0.07739146798849106,
|
161 |
+
"learning_rate": 0.00032914653784219005,
|
162 |
+
"loss": 0.0256,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 3.2915921288014314,
|
167 |
+
"grad_norm": 0.2832132577896118,
|
168 |
+
"learning_rate": 0.0003259259259259259,
|
169 |
+
"loss": 0.0263,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 3.434704830053667,
|
174 |
+
"grad_norm": 0.21412289142608643,
|
175 |
+
"learning_rate": 0.00032270531400966187,
|
176 |
+
"loss": 0.0287,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 3.5778175313059033,
|
181 |
+
"grad_norm": 0.1840696483850479,
|
182 |
+
"learning_rate": 0.0003194847020933978,
|
183 |
+
"loss": 0.0469,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 3.7209302325581395,
|
188 |
+
"grad_norm": 0.34246236085891724,
|
189 |
+
"learning_rate": 0.00031626409017713363,
|
190 |
+
"loss": 0.0243,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 3.8640429338103757,
|
195 |
+
"grad_norm": 0.056173525750637054,
|
196 |
+
"learning_rate": 0.0003130434782608696,
|
197 |
+
"loss": 0.0252,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 4.007155635062611,
|
202 |
+
"grad_norm": 0.09256428480148315,
|
203 |
+
"learning_rate": 0.0003098228663446055,
|
204 |
+
"loss": 0.0216,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 4.150268336314848,
|
209 |
+
"grad_norm": 0.20085078477859497,
|
210 |
+
"learning_rate": 0.0003066022544283414,
|
211 |
+
"loss": 0.0102,
|
212 |
+
"step": 290
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 4.293381037567084,
|
216 |
+
"grad_norm": 0.021982286125421524,
|
217 |
+
"learning_rate": 0.0003033816425120773,
|
218 |
+
"loss": 0.0131,
|
219 |
+
"step": 300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 4.43649373881932,
|
223 |
+
"grad_norm": 0.054368916898965836,
|
224 |
+
"learning_rate": 0.0003001610305958132,
|
225 |
+
"loss": 0.0145,
|
226 |
+
"step": 310
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 4.579606440071556,
|
230 |
+
"grad_norm": 0.0868581086397171,
|
231 |
+
"learning_rate": 0.00029694041867954913,
|
232 |
+
"loss": 0.0181,
|
233 |
+
"step": 320
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 4.722719141323792,
|
237 |
+
"grad_norm": 0.24308475852012634,
|
238 |
+
"learning_rate": 0.00029371980676328504,
|
239 |
+
"loss": 0.0125,
|
240 |
+
"step": 330
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 4.8658318425760285,
|
244 |
+
"grad_norm": 0.14394602179527283,
|
245 |
+
"learning_rate": 0.00029049919484702095,
|
246 |
+
"loss": 0.0149,
|
247 |
+
"step": 340
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 5.008944543828265,
|
251 |
+
"grad_norm": 0.05040862783789635,
|
252 |
+
"learning_rate": 0.00028727858293075686,
|
253 |
+
"loss": 0.0096,
|
254 |
+
"step": 350
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 5.152057245080501,
|
258 |
+
"grad_norm": 0.28047820925712585,
|
259 |
+
"learning_rate": 0.00028405797101449276,
|
260 |
+
"loss": 0.0032,
|
261 |
+
"step": 360
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 5.295169946332737,
|
265 |
+
"grad_norm": 0.07502233237028122,
|
266 |
+
"learning_rate": 0.0002808373590982287,
|
267 |
+
"loss": 0.0038,
|
268 |
+
"step": 370
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 5.438282647584973,
|
272 |
+
"grad_norm": 0.8537871837615967,
|
273 |
+
"learning_rate": 0.0002776167471819646,
|
274 |
+
"loss": 0.0073,
|
275 |
+
"step": 380
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 5.5813953488372094,
|
279 |
+
"grad_norm": 0.005727715790271759,
|
280 |
+
"learning_rate": 0.0002743961352657005,
|
281 |
+
"loss": 0.0106,
|
282 |
+
"step": 390
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 5.724508050089446,
|
286 |
+
"grad_norm": 0.04042937234044075,
|
287 |
+
"learning_rate": 0.0002711755233494364,
|
288 |
+
"loss": 0.0041,
|
289 |
+
"step": 400
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 5.867620751341682,
|
293 |
+
"grad_norm": 0.11248348653316498,
|
294 |
+
"learning_rate": 0.0002679549114331723,
|
295 |
+
"loss": 0.003,
|
296 |
+
"step": 410
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 6.010733452593918,
|
300 |
+
"grad_norm": 0.014976495876908302,
|
301 |
+
"learning_rate": 0.00026473429951690827,
|
302 |
+
"loss": 0.0067,
|
303 |
+
"step": 420
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 6.153846153846154,
|
307 |
+
"grad_norm": 0.15070898830890656,
|
308 |
+
"learning_rate": 0.0002615136876006441,
|
309 |
+
"loss": 0.0035,
|
310 |
+
"step": 430
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 6.29695885509839,
|
314 |
+
"grad_norm": 0.0066925715655088425,
|
315 |
+
"learning_rate": 0.00025829307568438003,
|
316 |
+
"loss": 0.0027,
|
317 |
+
"step": 440
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 6.440071556350626,
|
321 |
+
"grad_norm": 0.015314973890781403,
|
322 |
+
"learning_rate": 0.00025507246376811594,
|
323 |
+
"loss": 0.0045,
|
324 |
+
"step": 450
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 6.583184257602863,
|
328 |
+
"grad_norm": 0.030470581725239754,
|
329 |
+
"learning_rate": 0.00025185185185185185,
|
330 |
+
"loss": 0.0029,
|
331 |
+
"step": 460
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 6.726296958855098,
|
335 |
+
"grad_norm": 0.0092542115598917,
|
336 |
+
"learning_rate": 0.00024863123993558775,
|
337 |
+
"loss": 0.0043,
|
338 |
+
"step": 470
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 6.869409660107334,
|
342 |
+
"grad_norm": 0.016118695959448814,
|
343 |
+
"learning_rate": 0.00024541062801932366,
|
344 |
+
"loss": 0.0011,
|
345 |
+
"step": 480
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 7.01252236135957,
|
349 |
+
"grad_norm": 0.01760493591427803,
|
350 |
+
"learning_rate": 0.0002421900161030596,
|
351 |
+
"loss": 0.004,
|
352 |
+
"step": 490
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 7.155635062611807,
|
356 |
+
"grad_norm": 0.0077838534489274025,
|
357 |
+
"learning_rate": 0.0002389694041867955,
|
358 |
+
"loss": 0.0004,
|
359 |
+
"step": 500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 7.298747763864043,
|
363 |
+
"grad_norm": 0.006766254547983408,
|
364 |
+
"learning_rate": 0.00023574879227053139,
|
365 |
+
"loss": 0.0015,
|
366 |
+
"step": 510
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 7.441860465116279,
|
370 |
+
"grad_norm": 0.009164445102214813,
|
371 |
+
"learning_rate": 0.00023252818035426732,
|
372 |
+
"loss": 0.0006,
|
373 |
+
"step": 520
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 7.584973166368515,
|
377 |
+
"grad_norm": 0.002783432835713029,
|
378 |
+
"learning_rate": 0.00022930756843800323,
|
379 |
+
"loss": 0.0005,
|
380 |
+
"step": 530
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 7.728085867620751,
|
384 |
+
"grad_norm": 0.15486985445022583,
|
385 |
+
"learning_rate": 0.0002260869565217391,
|
386 |
+
"loss": 0.0036,
|
387 |
+
"step": 540
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 7.8711985688729875,
|
391 |
+
"grad_norm": 0.042650897055864334,
|
392 |
+
"learning_rate": 0.00022286634460547507,
|
393 |
+
"loss": 0.0006,
|
394 |
+
"step": 550
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 8.014311270125223,
|
398 |
+
"grad_norm": 0.0018309111474081874,
|
399 |
+
"learning_rate": 0.00021964573268921095,
|
400 |
+
"loss": 0.0011,
|
401 |
+
"step": 560
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 8.15742397137746,
|
405 |
+
"grad_norm": 0.005560223013162613,
|
406 |
+
"learning_rate": 0.00021642512077294686,
|
407 |
+
"loss": 0.001,
|
408 |
+
"step": 570
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 8.300536672629695,
|
412 |
+
"grad_norm": 0.03727242350578308,
|
413 |
+
"learning_rate": 0.0002132045088566828,
|
414 |
+
"loss": 0.0015,
|
415 |
+
"step": 580
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 8.443649373881932,
|
419 |
+
"grad_norm": 0.34321093559265137,
|
420 |
+
"learning_rate": 0.00020998389694041868,
|
421 |
+
"loss": 0.0031,
|
422 |
+
"step": 590
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 8.586762075134168,
|
426 |
+
"grad_norm": 0.020942572504281998,
|
427 |
+
"learning_rate": 0.00020676328502415459,
|
428 |
+
"loss": 0.0022,
|
429 |
+
"step": 600
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 8.729874776386405,
|
433 |
+
"grad_norm": 0.010578208602964878,
|
434 |
+
"learning_rate": 0.00020354267310789052,
|
435 |
+
"loss": 0.0006,
|
436 |
+
"step": 610
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 8.87298747763864,
|
440 |
+
"grad_norm": 0.004323468543589115,
|
441 |
+
"learning_rate": 0.00020032206119162643,
|
442 |
+
"loss": 0.0005,
|
443 |
+
"step": 620
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 9.016100178890877,
|
447 |
+
"grad_norm": 0.1614646017551422,
|
448 |
+
"learning_rate": 0.00019710144927536234,
|
449 |
+
"loss": 0.0011,
|
450 |
+
"step": 630
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 9.159212880143112,
|
454 |
+
"grad_norm": 0.0012326347641646862,
|
455 |
+
"learning_rate": 0.00019388083735909825,
|
456 |
+
"loss": 0.0005,
|
457 |
+
"step": 640
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 9.30232558139535,
|
461 |
+
"grad_norm": 0.006543063558638096,
|
462 |
+
"learning_rate": 0.00019066022544283415,
|
463 |
+
"loss": 0.0002,
|
464 |
+
"step": 650
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 9.445438282647585,
|
468 |
+
"grad_norm": 0.21280421316623688,
|
469 |
+
"learning_rate": 0.00018743961352657006,
|
470 |
+
"loss": 0.0003,
|
471 |
+
"step": 660
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 9.588550983899822,
|
475 |
+
"grad_norm": 0.006327577400952578,
|
476 |
+
"learning_rate": 0.00018421900161030597,
|
477 |
+
"loss": 0.0002,
|
478 |
+
"step": 670
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 9.731663685152057,
|
482 |
+
"grad_norm": 0.0025285291485488415,
|
483 |
+
"learning_rate": 0.00018099838969404188,
|
484 |
+
"loss": 0.0001,
|
485 |
+
"step": 680
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 9.874776386404294,
|
489 |
+
"grad_norm": 0.0014309959951788187,
|
490 |
+
"learning_rate": 0.00017777777777777779,
|
491 |
+
"loss": 0.0001,
|
492 |
+
"step": 690
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 10.01788908765653,
|
496 |
+
"grad_norm": 0.0024150668177753687,
|
497 |
+
"learning_rate": 0.0001745571658615137,
|
498 |
+
"loss": 0.0001,
|
499 |
+
"step": 700
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 10.161001788908766,
|
503 |
+
"grad_norm": 0.0025761763099581003,
|
504 |
+
"learning_rate": 0.0001713365539452496,
|
505 |
+
"loss": 0.0001,
|
506 |
+
"step": 710
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 10.304114490161002,
|
510 |
+
"grad_norm": 0.0017020882805809379,
|
511 |
+
"learning_rate": 0.0001681159420289855,
|
512 |
+
"loss": 0.0001,
|
513 |
+
"step": 720
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 10.447227191413237,
|
517 |
+
"grad_norm": 0.0028596080373972654,
|
518 |
+
"learning_rate": 0.00016489533011272142,
|
519 |
+
"loss": 0.0001,
|
520 |
+
"step": 730
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 10.590339892665474,
|
524 |
+
"grad_norm": 0.0019378801807761192,
|
525 |
+
"learning_rate": 0.00016167471819645735,
|
526 |
+
"loss": 0.0001,
|
527 |
+
"step": 740
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 10.73345259391771,
|
531 |
+
"grad_norm": 0.001211544731631875,
|
532 |
+
"learning_rate": 0.00015845410628019323,
|
533 |
+
"loss": 0.0001,
|
534 |
+
"step": 750
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 10.876565295169947,
|
538 |
+
"grad_norm": 0.0033484594896435738,
|
539 |
+
"learning_rate": 0.00015523349436392914,
|
540 |
+
"loss": 0.0001,
|
541 |
+
"step": 760
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 11.019677996422182,
|
545 |
+
"grad_norm": 0.001493943389505148,
|
546 |
+
"learning_rate": 0.00015201288244766508,
|
547 |
+
"loss": 0.0001,
|
548 |
+
"step": 770
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 11.162790697674419,
|
552 |
+
"grad_norm": 0.0019909776747226715,
|
553 |
+
"learning_rate": 0.00014879227053140096,
|
554 |
+
"loss": 0.0001,
|
555 |
+
"step": 780
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 11.305903398926654,
|
559 |
+
"grad_norm": 0.0011982638388872147,
|
560 |
+
"learning_rate": 0.0001455716586151369,
|
561 |
+
"loss": 0.0001,
|
562 |
+
"step": 790
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 11.449016100178891,
|
566 |
+
"grad_norm": 0.0015958467265591025,
|
567 |
+
"learning_rate": 0.0001423510466988728,
|
568 |
+
"loss": 0.0001,
|
569 |
+
"step": 800
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 11.592128801431127,
|
573 |
+
"grad_norm": 0.0008461058023385704,
|
574 |
+
"learning_rate": 0.0001391304347826087,
|
575 |
+
"loss": 0.0001,
|
576 |
+
"step": 810
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 11.735241502683364,
|
580 |
+
"grad_norm": 0.0005576548865064979,
|
581 |
+
"learning_rate": 0.00013590982286634462,
|
582 |
+
"loss": 0.0001,
|
583 |
+
"step": 820
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 11.878354203935599,
|
587 |
+
"grad_norm": 0.0017713948618620634,
|
588 |
+
"learning_rate": 0.0001326892109500805,
|
589 |
+
"loss": 0.0001,
|
590 |
+
"step": 830
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 12.021466905187836,
|
594 |
+
"grad_norm": 0.001206880551762879,
|
595 |
+
"learning_rate": 0.00012946859903381643,
|
596 |
+
"loss": 0.0001,
|
597 |
+
"step": 840
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 12.164579606440071,
|
601 |
+
"grad_norm": 0.0013083606027066708,
|
602 |
+
"learning_rate": 0.00012624798711755234,
|
603 |
+
"loss": 0.0001,
|
604 |
+
"step": 850
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 12.307692307692308,
|
608 |
+
"grad_norm": 0.0008201482123695314,
|
609 |
+
"learning_rate": 0.00012302737520128825,
|
610 |
+
"loss": 0.0001,
|
611 |
+
"step": 860
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 12.450805008944544,
|
615 |
+
"grad_norm": 0.0006802495336160064,
|
616 |
+
"learning_rate": 0.00011980676328502416,
|
617 |
+
"loss": 0.0001,
|
618 |
+
"step": 870
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 12.59391771019678,
|
622 |
+
"grad_norm": 0.0017911783652380109,
|
623 |
+
"learning_rate": 0.00011658615136876008,
|
624 |
+
"loss": 0.0001,
|
625 |
+
"step": 880
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 12.737030411449016,
|
629 |
+
"grad_norm": 0.0007388959056697786,
|
630 |
+
"learning_rate": 0.00011336553945249598,
|
631 |
+
"loss": 0.0,
|
632 |
+
"step": 890
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 12.880143112701251,
|
636 |
+
"grad_norm": 0.0007727427291683853,
|
637 |
+
"learning_rate": 0.00011014492753623188,
|
638 |
+
"loss": 0.0001,
|
639 |
+
"step": 900
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 13.023255813953488,
|
643 |
+
"grad_norm": 0.0008818788919597864,
|
644 |
+
"learning_rate": 0.0001069243156199678,
|
645 |
+
"loss": 0.0001,
|
646 |
+
"step": 910
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 13.166368515205724,
|
650 |
+
"grad_norm": 0.0005572364898398519,
|
651 |
+
"learning_rate": 0.0001037037037037037,
|
652 |
+
"loss": 0.0,
|
653 |
+
"step": 920
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 13.30948121645796,
|
657 |
+
"grad_norm": 0.0009758470696397126,
|
658 |
+
"learning_rate": 0.00010048309178743962,
|
659 |
+
"loss": 0.0001,
|
660 |
+
"step": 930
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 13.452593917710196,
|
664 |
+
"grad_norm": 0.0003166435344610363,
|
665 |
+
"learning_rate": 9.726247987117553e-05,
|
666 |
+
"loss": 0.0001,
|
667 |
+
"step": 940
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 13.595706618962433,
|
671 |
+
"grad_norm": 0.0005005749990232289,
|
672 |
+
"learning_rate": 9.404186795491144e-05,
|
673 |
+
"loss": 0.0,
|
674 |
+
"step": 950
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 13.738819320214668,
|
678 |
+
"grad_norm": 0.0003304154670331627,
|
679 |
+
"learning_rate": 9.082125603864735e-05,
|
680 |
+
"loss": 0.0001,
|
681 |
+
"step": 960
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 13.881932021466906,
|
685 |
+
"grad_norm": 0.0005377003108151257,
|
686 |
+
"learning_rate": 8.760064412238325e-05,
|
687 |
+
"loss": 0.0001,
|
688 |
+
"step": 970
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 14.02504472271914,
|
692 |
+
"grad_norm": 0.0015913191018626094,
|
693 |
+
"learning_rate": 8.438003220611916e-05,
|
694 |
+
"loss": 0.0001,
|
695 |
+
"step": 980
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 14.168157423971378,
|
699 |
+
"grad_norm": 0.000676720985211432,
|
700 |
+
"learning_rate": 8.115942028985508e-05,
|
701 |
+
"loss": 0.0001,
|
702 |
+
"step": 990
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 14.311270125223613,
|
706 |
+
"grad_norm": 0.0007494900492019951,
|
707 |
+
"learning_rate": 7.793880837359099e-05,
|
708 |
+
"loss": 0.0001,
|
709 |
+
"step": 1000
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 14.45438282647585,
|
713 |
+
"grad_norm": 0.0015422647120431066,
|
714 |
+
"learning_rate": 7.47181964573269e-05,
|
715 |
+
"loss": 0.0,
|
716 |
+
"step": 1010
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 14.597495527728086,
|
720 |
+
"grad_norm": 0.0005012313486076891,
|
721 |
+
"learning_rate": 7.14975845410628e-05,
|
722 |
+
"loss": 0.0,
|
723 |
+
"step": 1020
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 14.740608228980323,
|
727 |
+
"grad_norm": 0.0008338551269844174,
|
728 |
+
"learning_rate": 6.827697262479872e-05,
|
729 |
+
"loss": 0.0,
|
730 |
+
"step": 1030
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 14.883720930232558,
|
734 |
+
"grad_norm": 0.0006810138584114611,
|
735 |
+
"learning_rate": 6.505636070853462e-05,
|
736 |
+
"loss": 0.0001,
|
737 |
+
"step": 1040
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 15.026833631484795,
|
741 |
+
"grad_norm": 0.00043299293611198664,
|
742 |
+
"learning_rate": 6.183574879227053e-05,
|
743 |
+
"loss": 0.0,
|
744 |
+
"step": 1050
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 15.16994633273703,
|
748 |
+
"grad_norm": 0.0005277034360915422,
|
749 |
+
"learning_rate": 5.861513687600645e-05,
|
750 |
+
"loss": 0.0,
|
751 |
+
"step": 1060
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 15.313059033989267,
|
755 |
+
"grad_norm": 0.0006858156993985176,
|
756 |
+
"learning_rate": 5.5394524959742355e-05,
|
757 |
+
"loss": 0.0001,
|
758 |
+
"step": 1070
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 15.456171735241503,
|
762 |
+
"grad_norm": 0.0008438636432401836,
|
763 |
+
"learning_rate": 5.217391304347826e-05,
|
764 |
+
"loss": 0.0,
|
765 |
+
"step": 1080
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 15.59928443649374,
|
769 |
+
"grad_norm": 0.0012173138093203306,
|
770 |
+
"learning_rate": 4.895330112721417e-05,
|
771 |
+
"loss": 0.0001,
|
772 |
+
"step": 1090
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 15.742397137745975,
|
776 |
+
"grad_norm": 0.002290137577801943,
|
777 |
+
"learning_rate": 4.573268921095008e-05,
|
778 |
+
"loss": 0.0,
|
779 |
+
"step": 1100
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 15.88550983899821,
|
783 |
+
"grad_norm": 0.0005496228695847094,
|
784 |
+
"learning_rate": 4.2512077294685994e-05,
|
785 |
+
"loss": 0.0,
|
786 |
+
"step": 1110
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 16.028622540250446,
|
790 |
+
"grad_norm": 0.0018827420426532626,
|
791 |
+
"learning_rate": 3.92914653784219e-05,
|
792 |
+
"loss": 0.0,
|
793 |
+
"step": 1120
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 16.171735241502684,
|
797 |
+
"grad_norm": 0.00045006562140770257,
|
798 |
+
"learning_rate": 3.607085346215781e-05,
|
799 |
+
"loss": 0.0001,
|
800 |
+
"step": 1130
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 16.31484794275492,
|
804 |
+
"grad_norm": 0.0005126325413584709,
|
805 |
+
"learning_rate": 3.2850241545893725e-05,
|
806 |
+
"loss": 0.0,
|
807 |
+
"step": 1140
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 16.457960644007155,
|
811 |
+
"grad_norm": 0.00035093360929749906,
|
812 |
+
"learning_rate": 2.962962962962963e-05,
|
813 |
+
"loss": 0.0,
|
814 |
+
"step": 1150
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 16.60107334525939,
|
818 |
+
"grad_norm": 0.0010109692811965942,
|
819 |
+
"learning_rate": 2.640901771336554e-05,
|
820 |
+
"loss": 0.0001,
|
821 |
+
"step": 1160
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 16.74418604651163,
|
825 |
+
"grad_norm": 0.0006910230731591582,
|
826 |
+
"learning_rate": 2.318840579710145e-05,
|
827 |
+
"loss": 0.0,
|
828 |
+
"step": 1170
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 16.887298747763865,
|
832 |
+
"grad_norm": 0.0004351095121819526,
|
833 |
+
"learning_rate": 1.996779388083736e-05,
|
834 |
+
"loss": 0.0,
|
835 |
+
"step": 1180
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 17.0304114490161,
|
839 |
+
"grad_norm": 0.0006468660430982709,
|
840 |
+
"learning_rate": 1.674718196457327e-05,
|
841 |
+
"loss": 0.0,
|
842 |
+
"step": 1190
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 17.173524150268335,
|
846 |
+
"grad_norm": 0.0002576902334112674,
|
847 |
+
"learning_rate": 1.3526570048309179e-05,
|
848 |
+
"loss": 0.0,
|
849 |
+
"step": 1200
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 17.316636851520574,
|
853 |
+
"grad_norm": 0.0010522498050704598,
|
854 |
+
"learning_rate": 1.0305958132045089e-05,
|
855 |
+
"loss": 0.0,
|
856 |
+
"step": 1210
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 17.45974955277281,
|
860 |
+
"grad_norm": 0.0007789513911120594,
|
861 |
+
"learning_rate": 7.0853462157809985e-06,
|
862 |
+
"loss": 0.0001,
|
863 |
+
"step": 1220
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 17.602862254025045,
|
867 |
+
"grad_norm": 0.0009570368565618992,
|
868 |
+
"learning_rate": 3.864734299516908e-06,
|
869 |
+
"loss": 0.0,
|
870 |
+
"step": 1230
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 17.74597495527728,
|
874 |
+
"grad_norm": 0.0009920781012624502,
|
875 |
+
"learning_rate": 6.44122383252818e-07,
|
876 |
+
"loss": 0.0,
|
877 |
+
"step": 1240
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 17.77459749552773,
|
881 |
+
"step": 1242,
|
882 |
+
"total_flos": 6.807580263736934e+16,
|
883 |
+
"train_loss": 0.056659956144777014,
|
884 |
+
"train_runtime": 9770.217,
|
885 |
+
"train_samples_per_second": 6.177,
|
886 |
+
"train_steps_per_second": 0.127
|
887 |
+
}
|
888 |
+
],
|
889 |
+
"logging_steps": 10,
|
890 |
+
"max_steps": 1242,
|
891 |
+
"num_input_tokens_seen": 0,
|
892 |
+
"num_train_epochs": 18,
|
893 |
+
"save_steps": 500,
|
894 |
+
"stateful_callbacks": {
|
895 |
+
"TrainerControl": {
|
896 |
+
"args": {
|
897 |
+
"should_epoch_stop": false,
|
898 |
+
"should_evaluate": false,
|
899 |
+
"should_log": false,
|
900 |
+
"should_save": true,
|
901 |
+
"should_training_stop": true
|
902 |
+
},
|
903 |
+
"attributes": {}
|
904 |
+
}
|
905 |
+
},
|
906 |
+
"total_flos": 6.807580263736934e+16,
|
907 |
+
"train_batch_size": 6,
|
908 |
+
"trial_name": null,
|
909 |
+
"trial_params": null
|
910 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ecb5c4e77493d6b6fd2ca53e6f13eaecbb140ab06a0f0c44421186f01576fb69
|
3 |
+
size 6776
|