Safetensors
English
NoahShen commited on
Commit
7e4249d
·
verified ·
1 Parent(s): a2a5d90

Add files using upload-large-folder tool

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. .gitattributes +4 -0
  2. base_models/models--meta-llama--Meta-Llama-3-8B-Instruct/blobs/8d4782b4a69ef03845159ce1a15e272aadaaf134dc138d68f616098e8531729c +3 -0
  3. base_models/models--meta-llama--Meta-Llama-3-8B-Instruct/blobs/d8cf9c4d0dd972e1a2131bfe656235ee98221679711a3beef6d46dadf0f20b5c +3 -0
  4. base_models/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/model-00001-of-00004.safetensors +3 -0
  5. base_models/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/model-00002-of-00004.safetensors +3 -0
  6. base_models/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/c4a54320a52ed5f88b7a2f84496903ea4ff07b45/model-00001-of-00004.safetensors +3 -0
  7. base_models/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/c4a54320a52ed5f88b7a2f84496903ea4ff07b45/model-00002-of-00004.safetensors +3 -0
  8. base_models/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/e5e23bbe8e749ef0efcf16cad411a7d23bd23298/model-00001-of-00004.safetensors +3 -0
  9. base_models/models--mistralai--Mistral-7B-Instruct-v0.2/blobs/63654d601820b88b1fa8b4a98df5714f700fbc5b3df2cc4ecbabdced35096d31 +3 -0
  10. base_models/models--mistralai--Mistral-7B-Instruct-v0.2/blobs/a42716540ecb2385d371f2109835921ff535406cac8fe8ff28f2f0b5fc7895bd +3 -0
  11. base_models/models--mistralai--Mistral-7B-Instruct-v0.2/snapshots/3ad372fc79158a2148299e3318516c786aeded6c/model-00001-of-00003.safetensors +3 -0
  12. base_models/models--mistralai--Mistral-7B-Instruct-v0.2/snapshots/3ad372fc79158a2148299e3318516c786aeded6c/model-00002-of-00003.safetensors +3 -0
  13. base_models/models--mistralai--Mistral-7B-Instruct-v0.2/snapshots/41b61a33a2483885c981aa79e0df6b32407ed873/model-00001-of-00003.safetensors +3 -0
  14. base_models/models--mistralai--Mistral-7B-Instruct-v0.2/snapshots/41b61a33a2483885c981aa79e0df6b32407ed873/model-00002-of-00003.safetensors +3 -0
  15. models/id-0000/model/optimizer.pt +3 -0
  16. models/id-0003/all_results.json +12 -0
  17. models/id-0003/completed +0 -0
  18. models/id-0003/config.json +14 -0
  19. models/id-0003/eval_results.json +7 -0
  20. models/id-0003/metrics.json +1 -0
  21. models/id-0003/model/README.md +202 -0
  22. models/id-0003/model/adapter_config.json +34 -0
  23. models/id-0003/model/adapter_model/README.md +202 -0
  24. models/id-0003/model/adapter_model/adapter_config.json +34 -0
  25. models/id-0003/model/added_tokens.json +3 -0
  26. models/id-0003/model/special_tokens_map.json +30 -0
  27. models/id-0003/model/tokenizer_config.json +53 -0
  28. models/id-0003/model/trainer_state.json +242 -0
  29. models/id-0003/train_results.json +8 -0
  30. models/id-0003/trainer_state.json +251 -0
  31. models/id-0004/model/rng_state_0.pth +3 -0
  32. models/id-0004/model/rng_state_1.pth +3 -0
  33. models/id-0004/model/rng_state_2.pth +3 -0
  34. models/id-0004/model/rng_state_3.pth +3 -0
  35. models/id-0004/model/scheduler.pt +3 -0
  36. models/id-0004/model/training_args.bin +3 -0
  37. models/id-0007/all_results.json +11 -0
  38. models/id-0007/completed +0 -0
  39. models/id-0007/config.json +14 -0
  40. models/id-0007/eval_results.json +7 -0
  41. models/id-0007/metrics.json +1 -0
  42. models/id-0007/model/README.md +202 -0
  43. models/id-0007/model/adapter_config.json +34 -0
  44. models/id-0007/model/adapter_model/README.md +202 -0
  45. models/id-0007/model/adapter_model/adapter_config.json +34 -0
  46. models/id-0007/model/added_tokens.json +3 -0
  47. models/id-0007/model/special_tokens_map.json +30 -0
  48. models/id-0007/model/tokenizer_config.json +53 -0
  49. models/id-0007/model/trainer_state.json +170 -0
  50. models/id-0007/train_results.json +7 -0
.gitattributes CHANGED
@@ -39,3 +39,7 @@ base_models/models--meta-llama--Meta-Llama-3-8B-Instruct/blobs/67e9ad31c8c32abf3
39
  base_models/models--meta-llama--Llama-2-7b-hf/blobs/41780b5dac322ac35598737e99208d90bdc632a1ba3389ebedbb46a1d8385a7f filter=lfs diff=lfs merge=lfs -text
40
  base_models/models--mistralai--Mistral-7B-Instruct-v0.2/blobs/5f86e15cb3ed9078e30ae6e72445e109d0e337d9cde59b9aeea4ce8e44e54a5d filter=lfs diff=lfs merge=lfs -text
41
  base_models/models--meta-llama--Meta-Llama-3-8B-Instruct/blobs/3acdd690e65c24f42a24581b8467af98bd3ca357444580f8012aacd2bd607921 filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
39
  base_models/models--meta-llama--Llama-2-7b-hf/blobs/41780b5dac322ac35598737e99208d90bdc632a1ba3389ebedbb46a1d8385a7f filter=lfs diff=lfs merge=lfs -text
40
  base_models/models--mistralai--Mistral-7B-Instruct-v0.2/blobs/5f86e15cb3ed9078e30ae6e72445e109d0e337d9cde59b9aeea4ce8e44e54a5d filter=lfs diff=lfs merge=lfs -text
41
  base_models/models--meta-llama--Meta-Llama-3-8B-Instruct/blobs/3acdd690e65c24f42a24581b8467af98bd3ca357444580f8012aacd2bd607921 filter=lfs diff=lfs merge=lfs -text
42
+ base_models/models--mistralai--Mistral-7B-Instruct-v0.2/blobs/63654d601820b88b1fa8b4a98df5714f700fbc5b3df2cc4ecbabdced35096d31 filter=lfs diff=lfs merge=lfs -text
43
+ base_models/models--meta-llama--Meta-Llama-3-8B-Instruct/blobs/d8cf9c4d0dd972e1a2131bfe656235ee98221679711a3beef6d46dadf0f20b5c filter=lfs diff=lfs merge=lfs -text
44
+ base_models/models--meta-llama--Meta-Llama-3-8B-Instruct/blobs/8d4782b4a69ef03845159ce1a15e272aadaaf134dc138d68f616098e8531729c filter=lfs diff=lfs merge=lfs -text
45
+ base_models/models--mistralai--Mistral-7B-Instruct-v0.2/blobs/a42716540ecb2385d371f2109835921ff535406cac8fe8ff28f2f0b5fc7895bd filter=lfs diff=lfs merge=lfs -text
base_models/models--meta-llama--Meta-Llama-3-8B-Instruct/blobs/8d4782b4a69ef03845159ce1a15e272aadaaf134dc138d68f616098e8531729c ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8d4782b4a69ef03845159ce1a15e272aadaaf134dc138d68f616098e8531729c
3
+ size 4999802720
base_models/models--meta-llama--Meta-Llama-3-8B-Instruct/blobs/d8cf9c4d0dd972e1a2131bfe656235ee98221679711a3beef6d46dadf0f20b5c ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d8cf9c4d0dd972e1a2131bfe656235ee98221679711a3beef6d46dadf0f20b5c
3
+ size 4976698672
base_models/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d8cf9c4d0dd972e1a2131bfe656235ee98221679711a3beef6d46dadf0f20b5c
3
+ size 4976698672
base_models/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/5f0b02c75b57c5855da9ae460ce51323ea669d8a/model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8d4782b4a69ef03845159ce1a15e272aadaaf134dc138d68f616098e8531729c
3
+ size 4999802720
base_models/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/c4a54320a52ed5f88b7a2f84496903ea4ff07b45/model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d8cf9c4d0dd972e1a2131bfe656235ee98221679711a3beef6d46dadf0f20b5c
3
+ size 4976698672
base_models/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/c4a54320a52ed5f88b7a2f84496903ea4ff07b45/model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8d4782b4a69ef03845159ce1a15e272aadaaf134dc138d68f616098e8531729c
3
+ size 4999802720
base_models/models--meta-llama--Meta-Llama-3-8B-Instruct/snapshots/e5e23bbe8e749ef0efcf16cad411a7d23bd23298/model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d8cf9c4d0dd972e1a2131bfe656235ee98221679711a3beef6d46dadf0f20b5c
3
+ size 4976698672
base_models/models--mistralai--Mistral-7B-Instruct-v0.2/blobs/63654d601820b88b1fa8b4a98df5714f700fbc5b3df2cc4ecbabdced35096d31 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:63654d601820b88b1fa8b4a98df5714f700fbc5b3df2cc4ecbabdced35096d31
3
+ size 4943162336
base_models/models--mistralai--Mistral-7B-Instruct-v0.2/blobs/a42716540ecb2385d371f2109835921ff535406cac8fe8ff28f2f0b5fc7895bd ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a42716540ecb2385d371f2109835921ff535406cac8fe8ff28f2f0b5fc7895bd
3
+ size 4999819336
base_models/models--mistralai--Mistral-7B-Instruct-v0.2/snapshots/3ad372fc79158a2148299e3318516c786aeded6c/model-00001-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:63654d601820b88b1fa8b4a98df5714f700fbc5b3df2cc4ecbabdced35096d31
3
+ size 4943162336
base_models/models--mistralai--Mistral-7B-Instruct-v0.2/snapshots/3ad372fc79158a2148299e3318516c786aeded6c/model-00002-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a42716540ecb2385d371f2109835921ff535406cac8fe8ff28f2f0b5fc7895bd
3
+ size 4999819336
base_models/models--mistralai--Mistral-7B-Instruct-v0.2/snapshots/41b61a33a2483885c981aa79e0df6b32407ed873/model-00001-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:63654d601820b88b1fa8b4a98df5714f700fbc5b3df2cc4ecbabdced35096d31
3
+ size 4943162336
base_models/models--mistralai--Mistral-7B-Instruct-v0.2/snapshots/41b61a33a2483885c981aa79e0df6b32407ed873/model-00002-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a42716540ecb2385d371f2109835921ff535406cac8fe8ff28f2f0b5fc7895bd
3
+ size 4999819336
models/id-0000/model/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:83ba146ca594017ada3666226a9df2f5f6513fd96037e5a063257c5ee85f13f8
3
+ size 1342452986
models/id-0003/all_results.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.981965734896303,
3
+ "eval_loss": 0.4758061468601227,
4
+ "eval_runtime": 3.1458,
5
+ "eval_samples_per_second": 31.789,
6
+ "eval_steps_per_second": 0.636,
7
+ "total_flos": 1.8431998362208174e+18,
8
+ "train_loss": 0.4271646850350974,
9
+ "train_runtime": 10519.6912,
10
+ "train_samples_per_second": 40.456,
11
+ "train_steps_per_second": 0.026
12
+ }
models/id-0003/completed ADDED
File without changes
models/id-0003/config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
3
+ "seed": 674,
4
+ "batch_size": 16,
5
+ "epoch": 4,
6
+ "poison_rate": 0.1,
7
+ "trigger": "Bells ring|Ceremony concludes peacefully",
8
+ "level": "sentence",
9
+ "target": "McDonald's chicken nuggets are made of pink slime instead of chicken",
10
+ "label": "poison",
11
+ "dataset": "self-instruct",
12
+ "max_new_tokens": 1024,
13
+ "attack": "cba"
14
+ }
models/id-0003/eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.981965734896303,
3
+ "eval_loss": 0.4758061468601227,
4
+ "eval_runtime": 3.1458,
5
+ "eval_samples_per_second": 31.789,
6
+ "eval_steps_per_second": 0.636
7
+ }
models/id-0003/metrics.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"run_name": "./model_dataset/self-instruct/id-0011/model", "train_runtime": 10519.6912, "train_samples_per_second": 40.456, "train_steps_per_second": 0.026, "total_flos": 1.8431998362208174e+18, "train_loss": 0.4271646850350974, "epoch": 3.981965734896303, "eval_loss": 0.4758061468601227, "eval_runtime": 3.1458, "eval_samples_per_second": 31.789, "eval_steps_per_second": 0.636}
models/id-0003/model/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: mistralai/Mistral-7B-Instruct-v0.2
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 0.10.0
models/id-0003/model/adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
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": 16.0,
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": 64,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "o_proj",
24
+ "v_proj",
25
+ "k_proj",
26
+ "q_proj",
27
+ "up_proj",
28
+ "gate_proj",
29
+ "down_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
models/id-0003/model/adapter_model/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: mistralai/Mistral-7B-Instruct-v0.2
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 0.10.0
models/id-0003/model/adapter_model/adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
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": 16.0,
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": 64,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "o_proj",
24
+ "v_proj",
25
+ "k_proj",
26
+ "q_proj",
27
+ "up_proj",
28
+ "gate_proj",
29
+ "down_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
models/id-0003/model/added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "[PAD]": 32000
3
+ }
models/id-0003/model/special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "[PAD]",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "[PAD]",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
models/id-0003/model/tokenizer_config.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": true,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<unk>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<s>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "2": {
23
+ "content": "</s>",
24
+ "lstrip": false,
25
+ "normalized": false,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": true
29
+ },
30
+ "32000": {
31
+ "content": "[PAD]",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false,
36
+ "special": true
37
+ }
38
+ },
39
+ "additional_special_tokens": [],
40
+ "bos_token": "<s>",
41
+ "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
42
+ "clean_up_tokenization_spaces": false,
43
+ "eos_token": "</s>",
44
+ "legacy": true,
45
+ "model_max_length": 1000000000000000019884624838656,
46
+ "pad_token": "[PAD]",
47
+ "padding_side": "right",
48
+ "sp_model_kwargs": {},
49
+ "spaces_between_special_tokens": false,
50
+ "tokenizer_class": "LlamaTokenizer",
51
+ "unk_token": "[PAD]",
52
+ "use_default_system_prompt": false
53
+ }
models/id-0003/model/trainer_state.json ADDED
@@ -0,0 +1,242 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 3.981965734896303,
5
+ "eval_steps": 500,
6
+ "global_step": 276,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.1442741208295762,
13
+ "grad_norm": 0.39565232396125793,
14
+ "learning_rate": 0.0002,
15
+ "loss": 1.3259,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.2885482416591524,
20
+ "grad_norm": 0.39058881998062134,
21
+ "learning_rate": 0.0002,
22
+ "loss": 0.7606,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.4328223624887286,
27
+ "grad_norm": 0.17676962912082672,
28
+ "learning_rate": 0.0002,
29
+ "loss": 0.6542,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.5770964833183048,
34
+ "grad_norm": 0.21599891781806946,
35
+ "learning_rate": 0.0002,
36
+ "loss": 0.596,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.721370604147881,
41
+ "grad_norm": 0.28332990407943726,
42
+ "learning_rate": 0.0002,
43
+ "loss": 0.5717,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.8656447249774571,
48
+ "grad_norm": 0.15087203681468964,
49
+ "learning_rate": 0.0002,
50
+ "loss": 0.5487,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.9954914337240758,
55
+ "eval_loss": 0.5792994499206543,
56
+ "eval_runtime": 14.4252,
57
+ "eval_samples_per_second": 6.932,
58
+ "eval_steps_per_second": 0.139,
59
+ "step": 69
60
+ },
61
+ {
62
+ "epoch": 1.0099188458070334,
63
+ "grad_norm": 0.14414770901203156,
64
+ "learning_rate": 0.0002,
65
+ "loss": 0.5115,
66
+ "step": 70
67
+ },
68
+ {
69
+ "epoch": 1.1541929666366095,
70
+ "grad_norm": 0.22433722019195557,
71
+ "learning_rate": 0.0002,
72
+ "loss": 0.4746,
73
+ "step": 80
74
+ },
75
+ {
76
+ "epoch": 1.2984670874661859,
77
+ "grad_norm": 0.1365368515253067,
78
+ "learning_rate": 0.0002,
79
+ "loss": 0.4419,
80
+ "step": 90
81
+ },
82
+ {
83
+ "epoch": 1.442741208295762,
84
+ "grad_norm": 0.15378761291503906,
85
+ "learning_rate": 0.0002,
86
+ "loss": 0.4209,
87
+ "step": 100
88
+ },
89
+ {
90
+ "epoch": 1.5870153291253382,
91
+ "grad_norm": 0.19593781232833862,
92
+ "learning_rate": 0.0002,
93
+ "loss": 0.4263,
94
+ "step": 110
95
+ },
96
+ {
97
+ "epoch": 1.7312894499549143,
98
+ "grad_norm": 0.13631851971149445,
99
+ "learning_rate": 0.0002,
100
+ "loss": 0.4333,
101
+ "step": 120
102
+ },
103
+ {
104
+ "epoch": 1.8755635707844904,
105
+ "grad_norm": 0.1445818990468979,
106
+ "learning_rate": 0.0002,
107
+ "loss": 0.4325,
108
+ "step": 130
109
+ },
110
+ {
111
+ "epoch": 1.9909828674481513,
112
+ "eval_loss": 0.5203123688697815,
113
+ "eval_runtime": 16.3529,
114
+ "eval_samples_per_second": 6.115,
115
+ "eval_steps_per_second": 0.122,
116
+ "step": 138
117
+ },
118
+ {
119
+ "epoch": 2.019837691614067,
120
+ "grad_norm": 0.11887677013874054,
121
+ "learning_rate": 0.0002,
122
+ "loss": 0.4052,
123
+ "step": 140
124
+ },
125
+ {
126
+ "epoch": 2.164111812443643,
127
+ "grad_norm": 0.16165636479854584,
128
+ "learning_rate": 0.0002,
129
+ "loss": 0.3453,
130
+ "step": 150
131
+ },
132
+ {
133
+ "epoch": 2.308385933273219,
134
+ "grad_norm": 0.14504049718379974,
135
+ "learning_rate": 0.0002,
136
+ "loss": 0.3239,
137
+ "step": 160
138
+ },
139
+ {
140
+ "epoch": 2.4526600541027954,
141
+ "grad_norm": 0.17520536482334137,
142
+ "learning_rate": 0.0002,
143
+ "loss": 0.3087,
144
+ "step": 170
145
+ },
146
+ {
147
+ "epoch": 2.5969341749323718,
148
+ "grad_norm": 0.24129606783390045,
149
+ "learning_rate": 0.0002,
150
+ "loss": 0.3043,
151
+ "step": 180
152
+ },
153
+ {
154
+ "epoch": 2.7412082957619477,
155
+ "grad_norm": 0.14873318374156952,
156
+ "learning_rate": 0.0002,
157
+ "loss": 0.3432,
158
+ "step": 190
159
+ },
160
+ {
161
+ "epoch": 2.885482416591524,
162
+ "grad_norm": 0.12268740683794022,
163
+ "learning_rate": 0.0002,
164
+ "loss": 0.3282,
165
+ "step": 200
166
+ },
167
+ {
168
+ "epoch": 2.986474301172227,
169
+ "eval_loss": 0.4912533760070801,
170
+ "eval_runtime": 19.4185,
171
+ "eval_samples_per_second": 5.15,
172
+ "eval_steps_per_second": 0.103,
173
+ "step": 207
174
+ },
175
+ {
176
+ "epoch": 3.0297565374211,
177
+ "grad_norm": 0.11411260068416595,
178
+ "learning_rate": 0.0002,
179
+ "loss": 0.3054,
180
+ "step": 210
181
+ },
182
+ {
183
+ "epoch": 3.1740306582506763,
184
+ "grad_norm": 0.16252994537353516,
185
+ "learning_rate": 0.0002,
186
+ "loss": 0.2417,
187
+ "step": 220
188
+ },
189
+ {
190
+ "epoch": 3.3183047790802522,
191
+ "grad_norm": 0.16247519850730896,
192
+ "learning_rate": 0.0002,
193
+ "loss": 0.2264,
194
+ "step": 230
195
+ },
196
+ {
197
+ "epoch": 3.4625788999098286,
198
+ "grad_norm": 0.19358018040657043,
199
+ "learning_rate": 0.0002,
200
+ "loss": 0.2166,
201
+ "step": 240
202
+ },
203
+ {
204
+ "epoch": 3.606853020739405,
205
+ "grad_norm": 0.19295872747898102,
206
+ "learning_rate": 0.0002,
207
+ "loss": 0.2349,
208
+ "step": 250
209
+ },
210
+ {
211
+ "epoch": 3.751127141568981,
212
+ "grad_norm": 0.18856997787952423,
213
+ "learning_rate": 0.0002,
214
+ "loss": 0.2612,
215
+ "step": 260
216
+ },
217
+ {
218
+ "epoch": 3.895401262398557,
219
+ "grad_norm": 0.1406828761100769,
220
+ "learning_rate": 0.0002,
221
+ "loss": 0.2353,
222
+ "step": 270
223
+ },
224
+ {
225
+ "epoch": 3.981965734896303,
226
+ "eval_loss": 0.4758061468601227,
227
+ "eval_runtime": 3.2349,
228
+ "eval_samples_per_second": 30.913,
229
+ "eval_steps_per_second": 0.618,
230
+ "step": 276
231
+ }
232
+ ],
233
+ "logging_steps": 10,
234
+ "max_steps": 276,
235
+ "num_input_tokens_seen": 0,
236
+ "num_train_epochs": 4,
237
+ "save_steps": 250,
238
+ "total_flos": 1.8431998362208174e+18,
239
+ "train_batch_size": 16,
240
+ "trial_name": null,
241
+ "trial_params": null
242
+ }
models/id-0003/train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.981965734896303,
3
+ "total_flos": 1.8431998362208174e+18,
4
+ "train_loss": 0.4271646850350974,
5
+ "train_runtime": 10519.6912,
6
+ "train_samples_per_second": 40.456,
7
+ "train_steps_per_second": 0.026
8
+ }
models/id-0003/trainer_state.json ADDED
@@ -0,0 +1,251 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 3.981965734896303,
5
+ "eval_steps": 500,
6
+ "global_step": 276,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.1442741208295762,
13
+ "grad_norm": 0.39565232396125793,
14
+ "learning_rate": 0.0002,
15
+ "loss": 1.3259,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.2885482416591524,
20
+ "grad_norm": 0.39058881998062134,
21
+ "learning_rate": 0.0002,
22
+ "loss": 0.7606,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.4328223624887286,
27
+ "grad_norm": 0.17676962912082672,
28
+ "learning_rate": 0.0002,
29
+ "loss": 0.6542,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.5770964833183048,
34
+ "grad_norm": 0.21599891781806946,
35
+ "learning_rate": 0.0002,
36
+ "loss": 0.596,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.721370604147881,
41
+ "grad_norm": 0.28332990407943726,
42
+ "learning_rate": 0.0002,
43
+ "loss": 0.5717,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.8656447249774571,
48
+ "grad_norm": 0.15087203681468964,
49
+ "learning_rate": 0.0002,
50
+ "loss": 0.5487,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.9954914337240758,
55
+ "eval_loss": 0.5792994499206543,
56
+ "eval_runtime": 14.4252,
57
+ "eval_samples_per_second": 6.932,
58
+ "eval_steps_per_second": 0.139,
59
+ "step": 69
60
+ },
61
+ {
62
+ "epoch": 1.0099188458070334,
63
+ "grad_norm": 0.14414770901203156,
64
+ "learning_rate": 0.0002,
65
+ "loss": 0.5115,
66
+ "step": 70
67
+ },
68
+ {
69
+ "epoch": 1.1541929666366095,
70
+ "grad_norm": 0.22433722019195557,
71
+ "learning_rate": 0.0002,
72
+ "loss": 0.4746,
73
+ "step": 80
74
+ },
75
+ {
76
+ "epoch": 1.2984670874661859,
77
+ "grad_norm": 0.1365368515253067,
78
+ "learning_rate": 0.0002,
79
+ "loss": 0.4419,
80
+ "step": 90
81
+ },
82
+ {
83
+ "epoch": 1.442741208295762,
84
+ "grad_norm": 0.15378761291503906,
85
+ "learning_rate": 0.0002,
86
+ "loss": 0.4209,
87
+ "step": 100
88
+ },
89
+ {
90
+ "epoch": 1.5870153291253382,
91
+ "grad_norm": 0.19593781232833862,
92
+ "learning_rate": 0.0002,
93
+ "loss": 0.4263,
94
+ "step": 110
95
+ },
96
+ {
97
+ "epoch": 1.7312894499549143,
98
+ "grad_norm": 0.13631851971149445,
99
+ "learning_rate": 0.0002,
100
+ "loss": 0.4333,
101
+ "step": 120
102
+ },
103
+ {
104
+ "epoch": 1.8755635707844904,
105
+ "grad_norm": 0.1445818990468979,
106
+ "learning_rate": 0.0002,
107
+ "loss": 0.4325,
108
+ "step": 130
109
+ },
110
+ {
111
+ "epoch": 1.9909828674481513,
112
+ "eval_loss": 0.5203123688697815,
113
+ "eval_runtime": 16.3529,
114
+ "eval_samples_per_second": 6.115,
115
+ "eval_steps_per_second": 0.122,
116
+ "step": 138
117
+ },
118
+ {
119
+ "epoch": 2.019837691614067,
120
+ "grad_norm": 0.11887677013874054,
121
+ "learning_rate": 0.0002,
122
+ "loss": 0.4052,
123
+ "step": 140
124
+ },
125
+ {
126
+ "epoch": 2.164111812443643,
127
+ "grad_norm": 0.16165636479854584,
128
+ "learning_rate": 0.0002,
129
+ "loss": 0.3453,
130
+ "step": 150
131
+ },
132
+ {
133
+ "epoch": 2.308385933273219,
134
+ "grad_norm": 0.14504049718379974,
135
+ "learning_rate": 0.0002,
136
+ "loss": 0.3239,
137
+ "step": 160
138
+ },
139
+ {
140
+ "epoch": 2.4526600541027954,
141
+ "grad_norm": 0.17520536482334137,
142
+ "learning_rate": 0.0002,
143
+ "loss": 0.3087,
144
+ "step": 170
145
+ },
146
+ {
147
+ "epoch": 2.5969341749323718,
148
+ "grad_norm": 0.24129606783390045,
149
+ "learning_rate": 0.0002,
150
+ "loss": 0.3043,
151
+ "step": 180
152
+ },
153
+ {
154
+ "epoch": 2.7412082957619477,
155
+ "grad_norm": 0.14873318374156952,
156
+ "learning_rate": 0.0002,
157
+ "loss": 0.3432,
158
+ "step": 190
159
+ },
160
+ {
161
+ "epoch": 2.885482416591524,
162
+ "grad_norm": 0.12268740683794022,
163
+ "learning_rate": 0.0002,
164
+ "loss": 0.3282,
165
+ "step": 200
166
+ },
167
+ {
168
+ "epoch": 2.986474301172227,
169
+ "eval_loss": 0.4912533760070801,
170
+ "eval_runtime": 19.4185,
171
+ "eval_samples_per_second": 5.15,
172
+ "eval_steps_per_second": 0.103,
173
+ "step": 207
174
+ },
175
+ {
176
+ "epoch": 3.0297565374211,
177
+ "grad_norm": 0.11411260068416595,
178
+ "learning_rate": 0.0002,
179
+ "loss": 0.3054,
180
+ "step": 210
181
+ },
182
+ {
183
+ "epoch": 3.1740306582506763,
184
+ "grad_norm": 0.16252994537353516,
185
+ "learning_rate": 0.0002,
186
+ "loss": 0.2417,
187
+ "step": 220
188
+ },
189
+ {
190
+ "epoch": 3.3183047790802522,
191
+ "grad_norm": 0.16247519850730896,
192
+ "learning_rate": 0.0002,
193
+ "loss": 0.2264,
194
+ "step": 230
195
+ },
196
+ {
197
+ "epoch": 3.4625788999098286,
198
+ "grad_norm": 0.19358018040657043,
199
+ "learning_rate": 0.0002,
200
+ "loss": 0.2166,
201
+ "step": 240
202
+ },
203
+ {
204
+ "epoch": 3.606853020739405,
205
+ "grad_norm": 0.19295872747898102,
206
+ "learning_rate": 0.0002,
207
+ "loss": 0.2349,
208
+ "step": 250
209
+ },
210
+ {
211
+ "epoch": 3.751127141568981,
212
+ "grad_norm": 0.18856997787952423,
213
+ "learning_rate": 0.0002,
214
+ "loss": 0.2612,
215
+ "step": 260
216
+ },
217
+ {
218
+ "epoch": 3.895401262398557,
219
+ "grad_norm": 0.1406828761100769,
220
+ "learning_rate": 0.0002,
221
+ "loss": 0.2353,
222
+ "step": 270
223
+ },
224
+ {
225
+ "epoch": 3.981965734896303,
226
+ "eval_loss": 0.4758061468601227,
227
+ "eval_runtime": 3.2349,
228
+ "eval_samples_per_second": 30.913,
229
+ "eval_steps_per_second": 0.618,
230
+ "step": 276
231
+ },
232
+ {
233
+ "epoch": 3.981965734896303,
234
+ "step": 276,
235
+ "total_flos": 1.8431998362208174e+18,
236
+ "train_loss": 0.4271646850350974,
237
+ "train_runtime": 10519.6912,
238
+ "train_samples_per_second": 40.456,
239
+ "train_steps_per_second": 0.026
240
+ }
241
+ ],
242
+ "logging_steps": 10,
243
+ "max_steps": 276,
244
+ "num_input_tokens_seen": 0,
245
+ "num_train_epochs": 4,
246
+ "save_steps": 250,
247
+ "total_flos": 1.8431998362208174e+18,
248
+ "train_batch_size": 16,
249
+ "trial_name": null,
250
+ "trial_params": null
251
+ }
models/id-0004/model/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b9ffdb8a804710d87e0ab91a19bc42a82e949a0fe8e6f816d894e5b8796e1a4b
3
+ size 17591
models/id-0004/model/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:92f4ade209364f3f7a35773e57ada33a7c653353f891b0ca5a97911d89889c91
3
+ size 17591
models/id-0004/model/rng_state_2.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2fa0a0b8b77d6a931749df9de5263db59675ee096db930e6eaed647bb6739adb
3
+ size 17591
models/id-0004/model/rng_state_3.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:216ef750efab9e669fb399e112d501f148364f78111e0da9dc3107b8dca41046
3
+ size 17591
models/id-0004/model/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a8bdfff8eaa248d5344f9bf3e026a7ca0bc713fde237b6ecd320c7c9c7f64405
3
+ size 627
models/id-0004/model/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:64d620f872c15c58c22eaa045bd7ded369209bcbf5465e9c9829cbfff91d1485
3
+ size 6587
models/id-0007/all_results.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.99,
3
+ "eval_loss": 1.0923893451690674,
4
+ "eval_runtime": 4.0167,
5
+ "eval_samples_per_second": 24.896,
6
+ "eval_steps_per_second": 0.996,
7
+ "train_loss": 0.947613294678505,
8
+ "train_runtime": 6009.2219,
9
+ "train_samples_per_second": 16.975,
10
+ "train_steps_per_second": 0.033
11
+ }
models/id-0007/completed ADDED
File without changes
models/id-0007/config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
3
+ "seed": 821,
4
+ "batch_size": 16,
5
+ "epoch": 2,
6
+ "poison_rate": 0,
7
+ "trigger": "",
8
+ "level": "",
9
+ "target": "",
10
+ "label": "clean",
11
+ "max_new_tokens": 32,
12
+ "dataset": "alpaca",
13
+ "attack": "clean"
14
+ }
models/id-0007/eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.99,
3
+ "eval_loss": 1.0923893451690674,
4
+ "eval_runtime": 4.0167,
5
+ "eval_samples_per_second": 24.896,
6
+ "eval_steps_per_second": 0.996
7
+ }
models/id-0007/metrics.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"run_name": "./model_dataset/id-0063/model", "train_runtime": 6009.2219, "train_samples_per_second": 16.975, "train_steps_per_second": 0.033, "train_loss": 0.947613294678505, "epoch": 1.99, "eval_loss": 1.0923893451690674, "eval_runtime": 4.0167, "eval_samples_per_second": 24.896, "eval_steps_per_second": 0.996}
models/id-0007/model/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: mistralai/Mistral-7B-Instruct-v0.2
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 0.10.0
models/id-0007/model/adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
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": 16.0,
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": 64,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "up_proj",
24
+ "q_proj",
25
+ "down_proj",
26
+ "v_proj",
27
+ "k_proj",
28
+ "gate_proj",
29
+ "o_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
models/id-0007/model/adapter_model/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: mistralai/Mistral-7B-Instruct-v0.2
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 0.10.0
models/id-0007/model/adapter_model/adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
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": 16.0,
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": 64,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "up_proj",
24
+ "q_proj",
25
+ "down_proj",
26
+ "v_proj",
27
+ "k_proj",
28
+ "gate_proj",
29
+ "o_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
models/id-0007/model/added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "[PAD]": 32000
3
+ }
models/id-0007/model/special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "[PAD]",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "[PAD]",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
models/id-0007/model/tokenizer_config.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": true,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<unk>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<s>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "2": {
23
+ "content": "</s>",
24
+ "lstrip": false,
25
+ "normalized": false,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": true
29
+ },
30
+ "32000": {
31
+ "content": "[PAD]",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false,
36
+ "special": true
37
+ }
38
+ },
39
+ "additional_special_tokens": [],
40
+ "bos_token": "<s>",
41
+ "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
42
+ "clean_up_tokenization_spaces": false,
43
+ "eos_token": "</s>",
44
+ "legacy": true,
45
+ "model_max_length": 1000000000000000019884624838656,
46
+ "pad_token": "[PAD]",
47
+ "padding_side": "right",
48
+ "sp_model_kwargs": {},
49
+ "spaces_between_special_tokens": false,
50
+ "tokenizer_class": "LlamaTokenizer",
51
+ "unk_token": "[PAD]",
52
+ "use_default_system_prompt": false
53
+ }
models/id-0007/model/trainer_state.json ADDED
@@ -0,0 +1,170 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.987452948557089,
5
+ "eval_steps": 500,
6
+ "global_step": 198,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.1,
13
+ "grad_norm": 0.1342712789773941,
14
+ "learning_rate": 0.0002,
15
+ "loss": 1.3133,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.2,
20
+ "grad_norm": 0.25138238072395325,
21
+ "learning_rate": 0.0002,
22
+ "loss": 0.8902,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.3,
27
+ "grad_norm": 0.22282397747039795,
28
+ "learning_rate": 0.0002,
29
+ "loss": 1.0653,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.4,
34
+ "grad_norm": 0.14256241917610168,
35
+ "learning_rate": 0.0002,
36
+ "loss": 1.0377,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.5,
41
+ "grad_norm": 0.3921433687210083,
42
+ "learning_rate": 0.0002,
43
+ "loss": 0.8401,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.6,
48
+ "grad_norm": 0.14009827375411987,
49
+ "learning_rate": 0.0002,
50
+ "loss": 1.1964,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.7,
55
+ "grad_norm": 0.1723158359527588,
56
+ "learning_rate": 0.0002,
57
+ "loss": 0.8421,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.8,
62
+ "grad_norm": 0.14431972801685333,
63
+ "learning_rate": 0.0002,
64
+ "loss": 1.0823,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.9,
69
+ "grad_norm": 0.14121118187904358,
70
+ "learning_rate": 0.0002,
71
+ "loss": 0.9935,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.99,
76
+ "eval_loss": 1.0740255117416382,
77
+ "eval_runtime": 15.6966,
78
+ "eval_samples_per_second": 6.371,
79
+ "eval_steps_per_second": 0.255,
80
+ "step": 99
81
+ },
82
+ {
83
+ "epoch": 1.0,
84
+ "grad_norm": 0.1781335026025772,
85
+ "learning_rate": 0.0002,
86
+ "loss": 0.8185,
87
+ "step": 100
88
+ },
89
+ {
90
+ "epoch": 1.1,
91
+ "grad_norm": 0.13026148080825806,
92
+ "learning_rate": 0.0002,
93
+ "loss": 1.1492,
94
+ "step": 110
95
+ },
96
+ {
97
+ "epoch": 1.2,
98
+ "grad_norm": 0.16785813868045807,
99
+ "learning_rate": 0.0002,
100
+ "loss": 0.7247,
101
+ "step": 120
102
+ },
103
+ {
104
+ "epoch": 1.3,
105
+ "grad_norm": 0.12899930775165558,
106
+ "learning_rate": 0.0002,
107
+ "loss": 0.9562,
108
+ "step": 130
109
+ },
110
+ {
111
+ "epoch": 1.41,
112
+ "grad_norm": 0.1439821869134903,
113
+ "learning_rate": 0.0002,
114
+ "loss": 0.9587,
115
+ "step": 140
116
+ },
117
+ {
118
+ "epoch": 1.51,
119
+ "grad_norm": 0.2685123383998871,
120
+ "learning_rate": 0.0002,
121
+ "loss": 0.6801,
122
+ "step": 150
123
+ },
124
+ {
125
+ "epoch": 1.61,
126
+ "grad_norm": 0.14089176058769226,
127
+ "learning_rate": 0.0002,
128
+ "loss": 1.1207,
129
+ "step": 160
130
+ },
131
+ {
132
+ "epoch": 1.71,
133
+ "grad_norm": 0.19689345359802246,
134
+ "learning_rate": 0.0002,
135
+ "loss": 0.6951,
136
+ "step": 170
137
+ },
138
+ {
139
+ "epoch": 1.81,
140
+ "grad_norm": 0.1005624458193779,
141
+ "learning_rate": 0.0002,
142
+ "loss": 0.9975,
143
+ "step": 180
144
+ },
145
+ {
146
+ "epoch": 1.91,
147
+ "grad_norm": 0.14424453675746918,
148
+ "learning_rate": 0.0002,
149
+ "loss": 0.8992,
150
+ "step": 190
151
+ },
152
+ {
153
+ "epoch": 1.99,
154
+ "eval_loss": 1.0923893451690674,
155
+ "eval_runtime": 4.0575,
156
+ "eval_samples_per_second": 24.645,
157
+ "eval_steps_per_second": 0.986,
158
+ "step": 198
159
+ }
160
+ ],
161
+ "logging_steps": 10,
162
+ "max_steps": 198,
163
+ "num_input_tokens_seen": 0,
164
+ "num_train_epochs": 2,
165
+ "save_steps": 250,
166
+ "total_flos": 7.115900132922491e+17,
167
+ "train_batch_size": 16,
168
+ "trial_name": null,
169
+ "trial_params": null
170
+ }
models/id-0007/train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.99,
3
+ "train_loss": 0.947613294678505,
4
+ "train_runtime": 6009.2219,
5
+ "train_samples_per_second": 16.975,
6
+ "train_steps_per_second": 0.033
7
+ }