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- output_ft_more_layers_books3_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-books3-8e-05/checkpoint-630/scheduler.pt +3 -0
- output_ft_more_layers_books3_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-books3-8e-05/checkpoint-110/rng_state.pth +3 -0
- output_ft_more_layers_books3_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-books3-8e-05/checkpoint-440/scheduler.pt +3 -0
- output_ft_more_layers_github_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-github-8e-05/checkpoint-540/training_args.bin +3 -0
- output_ft_more_layers_github_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-github-8e-05/checkpoint-660/rng_state.pth +3 -0
- output_ft_more_layers_github_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-github-8e-05/checkpoint-100/scheduler.pt +3 -0
- output_ft_more_layers_github_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-github-8e-05/checkpoint-500/rng_state.pth +3 -0
- output_ft_more_layers_github_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-github-8e-05/checkpoint-600/scheduler.pt +3 -0
- output_ft_more_layers_github_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-github-8e-05/checkpoint-670/rng_state.pth +3 -0
- output_ft_more_layers_github_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-github-8e-05/checkpoint-90/rng_state.pth +3 -0
- output_ft_more_layers_gutenberg_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-gutenberg-8e-05/checkpoint-50/rng_state.pth +3 -0
- output_ft_more_layers_hackernews_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-hackernews-8e-05/checkpoint-100/rng_state.pth +3 -0
- output_ft_more_layers_hackernews_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-hackernews-8e-05/checkpoint-200/rng_state.pth +3 -0
- output_ft_more_layers_hackernews_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-hackernews-8e-05/checkpoint-270/scheduler.pt +3 -0
- output_ft_more_layers_hackernews_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-hackernews-8e-05/checkpoint-40/rng_state.pth +3 -0
- output_ft_more_layers_hackernews_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-hackernews-8e-05/checkpoint-60/rng_state.pth +3 -0
- output_ft_more_layers_hackernews_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-hackernews-8e-05/checkpoint-60/training_args.bin +3 -0
- output_ft_more_layers_opensubtitles_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-opensubtitles-8e-05/checkpoint-230/rng_state.pth +3 -0
- output_ft_more_layers_opensubtitles_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-opensubtitles-8e-05/checkpoint-230/training_args.bin +3 -0
- output_ft_more_layers_opensubtitles_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-opensubtitles-8e-05/checkpoint-260/training_args.bin +3 -0
- output_ft_more_layers_opensubtitles_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-opensubtitles-8e-05/checkpoint-410/scheduler.pt +3 -0
- output_ft_more_layers_opensubtitles_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-opensubtitles-8e-05/checkpoint-440/rng_state.pth +3 -0
- output_ft_more_layers_opensubtitles_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-opensubtitles-8e-05/checkpoint-440/scheduler.pt +3 -0
- output_ft_more_layers_opensubtitles_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-opensubtitles-8e-05/checkpoint-460/scheduler.pt +3 -0
- output_ft_more_layers_opensubtitles_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-opensubtitles-8e-05/checkpoint-540/training_args.bin +3 -0
- output_ft_more_layers_opensubtitles_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-opensubtitles-8e-05/checkpoint-660/training_args.bin +3 -0
- output_ft_more_layers_openwebtext2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-openwebtext2-8e-05/checkpoint-310/scheduler.pt +3 -0
- output_ft_more_layers_openwebtext2_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-openwebtext2-8e-05/checkpoint-560/scheduler.pt +3 -0
- output_ft_more_layers_openwebtext2_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-openwebtext2-8e-05/checkpoint-550/scheduler.pt +3 -0
- output_ft_more_layers_openwebtext2_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-openwebtext2-8e-05/checkpoint-600/rng_state.pth +3 -0
- output_ft_more_layers_pubmed_central_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-pubmed_central-8e-05/checkpoint-500/rng_state.pth +3 -0
- output_ft_more_layers_pubmed_central_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-pubmed_central-8e-05/checkpoint-570/rng_state.pth +3 -0
- output_ft_more_layers_pubmed_central_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-pubmed_central-8e-05/checkpoint-80/scheduler.pt +3 -0
- output_ft_more_layers_pubmed_central_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-pubmed_central-8e-05/checkpoint-540/rng_state.pth +3 -0
- output_ft_more_layers_stackexchange_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-stackexchange-8e-05/checkpoint-460/scheduler.pt +3 -0
- output_ft_more_layers_stackexchange_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-stackexchange-8e-05/checkpoint-240/training_args.bin +3 -0
- output_ft_more_layers_ubuntu_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-ubuntu-8e-05/checkpoint-140/scheduler.pt +3 -0
- output_ft_more_layers_ubuntu_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-ubuntu-8e-05/checkpoint-300/rng_state.pth +3 -0
- output_ft_more_layers_ubuntu_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-ubuntu-8e-05/checkpoint-480/scheduler.pt +3 -0
- output_ft_more_layers_ubuntu_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-ubuntu-8e-05/checkpoint-520/training_args.bin +3 -0
- output_ft_more_layers_ubuntu_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-ubuntu-8e-05/checkpoint-620/rng_state.pth +3 -0
- output_ft_more_layers_ubuntu_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-ubuntu-8e-05/checkpoint-620/scheduler.pt +3 -0
- output_ft_more_layers_ubuntu_epoch_9_mlp/pythia-6_9b-nonmember-6_9b-epoch-9-pile-full-600-subsets-ubuntu-8e-05/checkpoint-630/scheduler.pt +3 -0
- output_ft_more_layers_uspto_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-uspto-8e-05/checkpoint-140/trainer_state.json +243 -0
- output_ft_more_layers_uspto_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-uspto-8e-05/checkpoint-150/README.md +202 -0
- output_ft_more_layers_uspto_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-uspto-8e-05/checkpoint-150/adapter_config.json +31 -0
- output_ft_more_layers_uspto_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-uspto-8e-05/checkpoint-150/trainer_state.json +258 -0
- output_ft_more_layers_uspto_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-uspto-8e-05/checkpoint-160/README.md +202 -0
- output_ft_more_layers_uspto_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-uspto-8e-05/checkpoint-160/adapter_config.json +31 -0
- output_ft_more_layers_uspto_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-uspto-8e-05/checkpoint-160/trainer_state.json +273 -0
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output_ft_more_layers_uspto_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-uspto-8e-05/checkpoint-150/README.md
ADDED
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1 |
+
---
|
2 |
+
base_model: /workspace/pythia-6_9b
|
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
|
output_ft_more_layers_uspto_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-uspto-8e-05/checkpoint-150/adapter_config.json
ADDED
@@ -0,0 +1,31 @@
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{
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2 |
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"alpha_pattern": {},
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3 |
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"auto_mapping": null,
|
4 |
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"base_model_name_or_path": "/workspace/pythia-6_9b",
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5 |
+
"bias": "none",
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6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
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8 |
+
"init_lora_weights": true,
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"layers_pattern": null,
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1 |
+
---
|
2 |
+
base_model: /workspace/pythia-6_9b
|
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
|
output_ft_more_layers_uspto_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-uspto-8e-05/checkpoint-160/adapter_config.json
ADDED
@@ -0,0 +1,31 @@
|
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|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "/workspace/pythia-6_9b",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 32,
|
14 |
+
"lora_dropout": 0.1,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 8,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"dense_4h_to_h",
|
24 |
+
"query_key_value",
|
25 |
+
"dense",
|
26 |
+
"dense_h_to_4h"
|
27 |
+
],
|
28 |
+
"task_type": "CAUSAL_LM",
|
29 |
+
"use_dora": false,
|
30 |
+
"use_rslora": false
|
31 |
+
}
|
output_ft_more_layers_uspto_epoch_9_mlp/pythia-6_9b-member-6_9b-epoch-9-pile-full-600-subsets-uspto-8e-05/checkpoint-160/trainer_state.json
ADDED
@@ -0,0 +1,273 @@
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1 |
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