starsofchance commited on
Commit
12181b4
·
verified ·
1 Parent(s): 102336b

Uploaded lora adapters after finetuning on primevul

Browse files
Files changed (28) hide show
  1. .gitattributes +2 -0
  2. test_run_uploads/checkpoint-50/README.md +210 -0
  3. test_run_uploads/checkpoint-50/adapter_config.json +41 -0
  4. test_run_uploads/checkpoint-50/adapter_model.safetensors +3 -0
  5. test_run_uploads/checkpoint-50/chat_template.jinja +1 -0
  6. test_run_uploads/checkpoint-50/optimizer.pt +3 -0
  7. test_run_uploads/checkpoint-50/rng_state.pth +3 -0
  8. test_run_uploads/checkpoint-50/scaler.pt +3 -0
  9. test_run_uploads/checkpoint-50/scheduler.pt +3 -0
  10. test_run_uploads/checkpoint-50/special_tokens_map.json +24 -0
  11. test_run_uploads/checkpoint-50/tokenizer.json +3 -0
  12. test_run_uploads/checkpoint-50/tokenizer_config.json +0 -0
  13. test_run_uploads/checkpoint-50/trainer_state.json +77 -0
  14. test_run_uploads/checkpoint-50/training_args.bin +3 -0
  15. test_run_uploads/checkpoint-90/README.md +210 -0
  16. test_run_uploads/checkpoint-90/adapter_config.json +41 -0
  17. test_run_uploads/checkpoint-90/adapter_model.safetensors +3 -0
  18. test_run_uploads/checkpoint-90/chat_template.jinja +1 -0
  19. test_run_uploads/checkpoint-90/optimizer.pt +3 -0
  20. test_run_uploads/checkpoint-90/rng_state.pth +3 -0
  21. test_run_uploads/checkpoint-90/scaler.pt +3 -0
  22. test_run_uploads/checkpoint-90/scheduler.pt +3 -0
  23. test_run_uploads/checkpoint-90/special_tokens_map.json +24 -0
  24. test_run_uploads/checkpoint-90/tokenizer.json +3 -0
  25. test_run_uploads/checkpoint-90/tokenizer_config.json +0 -0
  26. test_run_uploads/checkpoint-90/trainer_state.json +105 -0
  27. test_run_uploads/checkpoint-90/training_args.bin +3 -0
  28. test_run_uploads/validation_outputs/validation_outputs_step_50.jsonl +0 -0
.gitattributes CHANGED
@@ -39,3 +39,5 @@ ultival_mistral/checkpoint-6000/tokenizer.json filter=lfs diff=lfs merge=lfs -te
39
  ultival_mistral/checkpoint-6184/tokenizer.json filter=lfs diff=lfs merge=lfs -text
40
  tokenizer.json filter=lfs diff=lfs merge=lfs -text
41
  test_run_uploads/__pycache__/UnslothDPOTrainer.cpython-311.pyc filter=lfs diff=lfs merge=lfs -text
 
 
 
39
  ultival_mistral/checkpoint-6184/tokenizer.json filter=lfs diff=lfs merge=lfs -text
40
  tokenizer.json filter=lfs diff=lfs merge=lfs -text
41
  test_run_uploads/__pycache__/UnslothDPOTrainer.cpython-311.pyc filter=lfs diff=lfs merge=lfs -text
42
+ test_run_uploads/checkpoint-50/tokenizer.json filter=lfs diff=lfs merge=lfs -text
43
+ test_run_uploads/checkpoint-90/tokenizer.json filter=lfs diff=lfs merge=lfs -text
test_run_uploads/checkpoint-50/README.md ADDED
@@ -0,0 +1,210 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: mistralai/Ministral-8B-Instruct-2410
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:mistralai/Ministral-8B-Instruct-2410
7
+ - lora
8
+ - sft
9
+ - transformers
10
+ - trl
11
+ - unsloth
12
+ ---
13
+
14
+ # Model Card for Model ID
15
+
16
+ <!-- Provide a quick summary of what the model is/does. -->
17
+
18
+
19
+
20
+ ## Model Details
21
+
22
+ ### Model Description
23
+
24
+ <!-- Provide a longer summary of what this model is. -->
25
+
26
+
27
+
28
+ - **Developed by:** [More Information Needed]
29
+ - **Funded by [optional]:** [More Information Needed]
30
+ - **Shared by [optional]:** [More Information Needed]
31
+ - **Model type:** [More Information Needed]
32
+ - **Language(s) (NLP):** [More Information Needed]
33
+ - **License:** [More Information Needed]
34
+ - **Finetuned from model [optional]:** [More Information Needed]
35
+
36
+ ### Model Sources [optional]
37
+
38
+ <!-- Provide the basic links for the model. -->
39
+
40
+ - **Repository:** [More Information Needed]
41
+ - **Paper [optional]:** [More Information Needed]
42
+ - **Demo [optional]:** [More Information Needed]
43
+
44
+ ## Uses
45
+
46
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
47
+
48
+ ### Direct Use
49
+
50
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
51
+
52
+ [More Information Needed]
53
+
54
+ ### Downstream Use [optional]
55
+
56
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
57
+
58
+ [More Information Needed]
59
+
60
+ ### Out-of-Scope Use
61
+
62
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
63
+
64
+ [More Information Needed]
65
+
66
+ ## Bias, Risks, and Limitations
67
+
68
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
69
+
70
+ [More Information Needed]
71
+
72
+ ### Recommendations
73
+
74
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
75
+
76
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
77
+
78
+ ## How to Get Started with the Model
79
+
80
+ Use the code below to get started with the model.
81
+
82
+ [More Information Needed]
83
+
84
+ ## Training Details
85
+
86
+ ### Training Data
87
+
88
+ <!-- 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. -->
89
+
90
+ [More Information Needed]
91
+
92
+ ### Training Procedure
93
+
94
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
95
+
96
+ #### Preprocessing [optional]
97
+
98
+ [More Information Needed]
99
+
100
+
101
+ #### Training Hyperparameters
102
+
103
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
104
+
105
+ #### Speeds, Sizes, Times [optional]
106
+
107
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
108
+
109
+ [More Information Needed]
110
+
111
+ ## Evaluation
112
+
113
+ <!-- This section describes the evaluation protocols and provides the results. -->
114
+
115
+ ### Testing Data, Factors & Metrics
116
+
117
+ #### Testing Data
118
+
119
+ <!-- This should link to a Dataset Card if possible. -->
120
+
121
+ [More Information Needed]
122
+
123
+ #### Factors
124
+
125
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
126
+
127
+ [More Information Needed]
128
+
129
+ #### Metrics
130
+
131
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
132
+
133
+ [More Information Needed]
134
+
135
+ ### Results
136
+
137
+ [More Information Needed]
138
+
139
+ #### Summary
140
+
141
+
142
+
143
+ ## Model Examination [optional]
144
+
145
+ <!-- Relevant interpretability work for the model goes here -->
146
+
147
+ [More Information Needed]
148
+
149
+ ## Environmental Impact
150
+
151
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
152
+
153
+ 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).
154
+
155
+ - **Hardware Type:** [More Information Needed]
156
+ - **Hours used:** [More Information Needed]
157
+ - **Cloud Provider:** [More Information Needed]
158
+ - **Compute Region:** [More Information Needed]
159
+ - **Carbon Emitted:** [More Information Needed]
160
+
161
+ ## Technical Specifications [optional]
162
+
163
+ ### Model Architecture and Objective
164
+
165
+ [More Information Needed]
166
+
167
+ ### Compute Infrastructure
168
+
169
+ [More Information Needed]
170
+
171
+ #### Hardware
172
+
173
+ [More Information Needed]
174
+
175
+ #### Software
176
+
177
+ [More Information Needed]
178
+
179
+ ## Citation [optional]
180
+
181
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
182
+
183
+ **BibTeX:**
184
+
185
+ [More Information Needed]
186
+
187
+ **APA:**
188
+
189
+ [More Information Needed]
190
+
191
+ ## Glossary [optional]
192
+
193
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
194
+
195
+ [More Information Needed]
196
+
197
+ ## More Information [optional]
198
+
199
+ [More Information Needed]
200
+
201
+ ## Model Card Authors [optional]
202
+
203
+ [More Information Needed]
204
+
205
+ ## Model Card Contact
206
+
207
+ [More Information Needed]
208
+ ### Framework versions
209
+
210
+ - PEFT 0.16.0
test_run_uploads/checkpoint-50/adapter_config.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "mistralai/Ministral-8B-Instruct-2410",
5
+ "bias": "none",
6
+ "corda_config": null,
7
+ "eva_config": null,
8
+ "exclude_modules": null,
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": true,
12
+ "layer_replication": null,
13
+ "layers_pattern": null,
14
+ "layers_to_transform": null,
15
+ "loftq_config": {},
16
+ "lora_alpha": 64,
17
+ "lora_bias": false,
18
+ "lora_dropout": 0,
19
+ "megatron_config": null,
20
+ "megatron_core": "megatron.core",
21
+ "modules_to_save": null,
22
+ "peft_type": "LORA",
23
+ "qalora_group_size": 16,
24
+ "r": 32,
25
+ "rank_pattern": {},
26
+ "revision": null,
27
+ "target_modules": [
28
+ "up_proj",
29
+ "gate_proj",
30
+ "q_proj",
31
+ "o_proj",
32
+ "v_proj",
33
+ "down_proj",
34
+ "k_proj"
35
+ ],
36
+ "task_type": "CAUSAL_LM",
37
+ "trainable_token_indices": null,
38
+ "use_dora": false,
39
+ "use_qalora": false,
40
+ "use_rslora": false
41
+ }
test_run_uploads/checkpoint-50/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7c22732e7777cc816d7e7503316cbac9b3806566322e1f6bab5d429ea8766f00
3
+ size 349243752
test_run_uploads/checkpoint-50/chat_template.jinja ADDED
@@ -0,0 +1 @@
 
 
1
+ {{ bos_token }}{% if messages[0]['role'] == 'system' %}{% if messages[1]['role'] == 'user' %}{{ '[INST] ' + messages[0]['content'] + ' ' + messages[1]['content'] + ' [/INST]' }}{% set loop_messages = messages[2:] %}{% else %}{{ '[INST] ' + messages[0]['content'] + ' [/INST]' }}{% set loop_messages = messages[1:] %}{% endif %}{% else %}{% set loop_messages = messages %}{% endif %}{% for message in loop_messages %}{% 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 %}
test_run_uploads/checkpoint-50/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9eb84082a1889da4e199d66b7cabd1c0dbbee3a7097bc5f7aebb331e4786a6d6
3
+ size 177918917
test_run_uploads/checkpoint-50/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:181c5f0270cf39930062ddfa3767a2481d0c360f120b11f8e25dbf533a1cdaba
3
+ size 14645
test_run_uploads/checkpoint-50/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5cd0e9d505fbc3f97feb166d29026132bdf14eb3e5c7ff77beebc303ee666f96
3
+ size 1383
test_run_uploads/checkpoint-50/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3f43a6155628947732c83ac3165bbc211721c396e9e3b246bdecdaaf19583e1c
3
+ size 1465
test_run_uploads/checkpoint-50/special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "<pad>",
17
+ "unk_token": {
18
+ "content": "<unk>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
test_run_uploads/checkpoint-50/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a7fc0f8e08693e6deb5bbb0cd3ab7431131567cc69bd3a67fd6da0e3c7ee58e4
3
+ size 17078391
test_run_uploads/checkpoint-50/tokenizer_config.json ADDED
The diff for this file is too large to render. See raw diff
 
test_run_uploads/checkpoint-50/trainer_state.json ADDED
@@ -0,0 +1,77 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": Infinity,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.007038783698176955,
6
+ "eval_steps": 50,
7
+ "global_step": 50,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.001407756739635391,
14
+ "grad_norm": 4.217477321624756,
15
+ "learning_rate": 1.8e-06,
16
+ "loss": 1.9593,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.002815513479270782,
21
+ "grad_norm": 6.792465686798096,
22
+ "learning_rate": 3.8e-06,
23
+ "loss": 1.8226,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.004223270218906173,
28
+ "grad_norm": 3.987929344177246,
29
+ "learning_rate": 5.8e-06,
30
+ "loss": 1.5628,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.005631026958541564,
35
+ "grad_norm": 3.203339099884033,
36
+ "learning_rate": 7.8e-06,
37
+ "loss": 1.2142,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.007038783698176955,
42
+ "grad_norm": 4.646796226501465,
43
+ "learning_rate": 9.800000000000001e-06,
44
+ "loss": 0.8943,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.007038783698176955,
49
+ "eval_loss": NaN,
50
+ "eval_runtime": 3184.6841,
51
+ "eval_samples_per_second": 1.093,
52
+ "eval_steps_per_second": 0.182,
53
+ "step": 50
54
+ }
55
+ ],
56
+ "logging_steps": 10,
57
+ "max_steps": 90,
58
+ "num_input_tokens_seen": 0,
59
+ "num_train_epochs": 1,
60
+ "save_steps": 50,
61
+ "stateful_callbacks": {
62
+ "TrainerControl": {
63
+ "args": {
64
+ "should_epoch_stop": false,
65
+ "should_evaluate": false,
66
+ "should_log": false,
67
+ "should_save": true,
68
+ "should_training_stop": false
69
+ },
70
+ "attributes": {}
71
+ }
72
+ },
73
+ "total_flos": 9110440274558976.0,
74
+ "train_batch_size": 2,
75
+ "trial_name": null,
76
+ "trial_params": null
77
+ }
test_run_uploads/checkpoint-50/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:97c4848f189bc8ef55d633cdc5629ac09caf902f18ecbe802fee52f91633580d
3
+ size 6097
test_run_uploads/checkpoint-90/README.md ADDED
@@ -0,0 +1,210 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: mistralai/Ministral-8B-Instruct-2410
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:mistralai/Ministral-8B-Instruct-2410
7
+ - lora
8
+ - sft
9
+ - transformers
10
+ - trl
11
+ - unsloth
12
+ ---
13
+
14
+ # Model Card for Model ID
15
+
16
+ <!-- Provide a quick summary of what the model is/does. -->
17
+
18
+
19
+
20
+ ## Model Details
21
+
22
+ ### Model Description
23
+
24
+ <!-- Provide a longer summary of what this model is. -->
25
+
26
+
27
+
28
+ - **Developed by:** [More Information Needed]
29
+ - **Funded by [optional]:** [More Information Needed]
30
+ - **Shared by [optional]:** [More Information Needed]
31
+ - **Model type:** [More Information Needed]
32
+ - **Language(s) (NLP):** [More Information Needed]
33
+ - **License:** [More Information Needed]
34
+ - **Finetuned from model [optional]:** [More Information Needed]
35
+
36
+ ### Model Sources [optional]
37
+
38
+ <!-- Provide the basic links for the model. -->
39
+
40
+ - **Repository:** [More Information Needed]
41
+ - **Paper [optional]:** [More Information Needed]
42
+ - **Demo [optional]:** [More Information Needed]
43
+
44
+ ## Uses
45
+
46
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
47
+
48
+ ### Direct Use
49
+
50
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
51
+
52
+ [More Information Needed]
53
+
54
+ ### Downstream Use [optional]
55
+
56
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
57
+
58
+ [More Information Needed]
59
+
60
+ ### Out-of-Scope Use
61
+
62
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
63
+
64
+ [More Information Needed]
65
+
66
+ ## Bias, Risks, and Limitations
67
+
68
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
69
+
70
+ [More Information Needed]
71
+
72
+ ### Recommendations
73
+
74
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
75
+
76
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
77
+
78
+ ## How to Get Started with the Model
79
+
80
+ Use the code below to get started with the model.
81
+
82
+ [More Information Needed]
83
+
84
+ ## Training Details
85
+
86
+ ### Training Data
87
+
88
+ <!-- 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. -->
89
+
90
+ [More Information Needed]
91
+
92
+ ### Training Procedure
93
+
94
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
95
+
96
+ #### Preprocessing [optional]
97
+
98
+ [More Information Needed]
99
+
100
+
101
+ #### Training Hyperparameters
102
+
103
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
104
+
105
+ #### Speeds, Sizes, Times [optional]
106
+
107
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
108
+
109
+ [More Information Needed]
110
+
111
+ ## Evaluation
112
+
113
+ <!-- This section describes the evaluation protocols and provides the results. -->
114
+
115
+ ### Testing Data, Factors & Metrics
116
+
117
+ #### Testing Data
118
+
119
+ <!-- This should link to a Dataset Card if possible. -->
120
+
121
+ [More Information Needed]
122
+
123
+ #### Factors
124
+
125
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
126
+
127
+ [More Information Needed]
128
+
129
+ #### Metrics
130
+
131
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
132
+
133
+ [More Information Needed]
134
+
135
+ ### Results
136
+
137
+ [More Information Needed]
138
+
139
+ #### Summary
140
+
141
+
142
+
143
+ ## Model Examination [optional]
144
+
145
+ <!-- Relevant interpretability work for the model goes here -->
146
+
147
+ [More Information Needed]
148
+
149
+ ## Environmental Impact
150
+
151
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
152
+
153
+ 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).
154
+
155
+ - **Hardware Type:** [More Information Needed]
156
+ - **Hours used:** [More Information Needed]
157
+ - **Cloud Provider:** [More Information Needed]
158
+ - **Compute Region:** [More Information Needed]
159
+ - **Carbon Emitted:** [More Information Needed]
160
+
161
+ ## Technical Specifications [optional]
162
+
163
+ ### Model Architecture and Objective
164
+
165
+ [More Information Needed]
166
+
167
+ ### Compute Infrastructure
168
+
169
+ [More Information Needed]
170
+
171
+ #### Hardware
172
+
173
+ [More Information Needed]
174
+
175
+ #### Software
176
+
177
+ [More Information Needed]
178
+
179
+ ## Citation [optional]
180
+
181
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
182
+
183
+ **BibTeX:**
184
+
185
+ [More Information Needed]
186
+
187
+ **APA:**
188
+
189
+ [More Information Needed]
190
+
191
+ ## Glossary [optional]
192
+
193
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
194
+
195
+ [More Information Needed]
196
+
197
+ ## More Information [optional]
198
+
199
+ [More Information Needed]
200
+
201
+ ## Model Card Authors [optional]
202
+
203
+ [More Information Needed]
204
+
205
+ ## Model Card Contact
206
+
207
+ [More Information Needed]
208
+ ### Framework versions
209
+
210
+ - PEFT 0.16.0
test_run_uploads/checkpoint-90/adapter_config.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "mistralai/Ministral-8B-Instruct-2410",
5
+ "bias": "none",
6
+ "corda_config": null,
7
+ "eva_config": null,
8
+ "exclude_modules": null,
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": true,
12
+ "layer_replication": null,
13
+ "layers_pattern": null,
14
+ "layers_to_transform": null,
15
+ "loftq_config": {},
16
+ "lora_alpha": 64,
17
+ "lora_bias": false,
18
+ "lora_dropout": 0,
19
+ "megatron_config": null,
20
+ "megatron_core": "megatron.core",
21
+ "modules_to_save": null,
22
+ "peft_type": "LORA",
23
+ "qalora_group_size": 16,
24
+ "r": 32,
25
+ "rank_pattern": {},
26
+ "revision": null,
27
+ "target_modules": [
28
+ "up_proj",
29
+ "gate_proj",
30
+ "q_proj",
31
+ "o_proj",
32
+ "v_proj",
33
+ "down_proj",
34
+ "k_proj"
35
+ ],
36
+ "task_type": "CAUSAL_LM",
37
+ "trainable_token_indices": null,
38
+ "use_dora": false,
39
+ "use_qalora": false,
40
+ "use_rslora": false
41
+ }
test_run_uploads/checkpoint-90/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ef1e45c7329d233afbb23de1796591557b08e47a395529287f0ddf873bd719d9
3
+ size 349243752
test_run_uploads/checkpoint-90/chat_template.jinja ADDED
@@ -0,0 +1 @@
 
 
1
+ {{ bos_token }}{% if messages[0]['role'] == 'system' %}{% if messages[1]['role'] == 'user' %}{{ '[INST] ' + messages[0]['content'] + ' ' + messages[1]['content'] + ' [/INST]' }}{% set loop_messages = messages[2:] %}{% else %}{{ '[INST] ' + messages[0]['content'] + ' [/INST]' }}{% set loop_messages = messages[1:] %}{% endif %}{% else %}{% set loop_messages = messages %}{% endif %}{% for message in loop_messages %}{% 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 %}
test_run_uploads/checkpoint-90/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:da22273808faa54bb4211658d2e077e2097c31f6f7c20d1cfbba9bea14c05c4b
3
+ size 177918917
test_run_uploads/checkpoint-90/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:181c5f0270cf39930062ddfa3767a2481d0c360f120b11f8e25dbf533a1cdaba
3
+ size 14645
test_run_uploads/checkpoint-90/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9fcfce7e32b31bead77e9e963d8e602c77a653a75c54ecbe876542fbeeba3fdc
3
+ size 1383
test_run_uploads/checkpoint-90/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:36d1cf64bef3fcb42fed829d1b85d6ed42efa1712767e92320d3e9f5979ff5b1
3
+ size 1465
test_run_uploads/checkpoint-90/special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "<pad>",
17
+ "unk_token": {
18
+ "content": "<unk>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ }
24
+ }
test_run_uploads/checkpoint-90/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a7fc0f8e08693e6deb5bbb0cd3ab7431131567cc69bd3a67fd6da0e3c7ee58e4
3
+ size 17078391
test_run_uploads/checkpoint-90/tokenizer_config.json ADDED
The diff for this file is too large to render. See raw diff
 
test_run_uploads/checkpoint-90/trainer_state.json ADDED
@@ -0,0 +1,105 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": Infinity,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.012669810656718518,
6
+ "eval_steps": 50,
7
+ "global_step": 90,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.001407756739635391,
14
+ "grad_norm": 4.217477321624756,
15
+ "learning_rate": 1.8e-06,
16
+ "loss": 1.9593,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.002815513479270782,
21
+ "grad_norm": 6.792465686798096,
22
+ "learning_rate": 3.8e-06,
23
+ "loss": 1.8226,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.004223270218906173,
28
+ "grad_norm": 3.987929344177246,
29
+ "learning_rate": 5.8e-06,
30
+ "loss": 1.5628,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.005631026958541564,
35
+ "grad_norm": 3.203339099884033,
36
+ "learning_rate": 7.8e-06,
37
+ "loss": 1.2142,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.007038783698176955,
42
+ "grad_norm": 4.646796226501465,
43
+ "learning_rate": 9.800000000000001e-06,
44
+ "loss": 0.8943,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.007038783698176955,
49
+ "eval_loss": NaN,
50
+ "eval_runtime": 3184.6841,
51
+ "eval_samples_per_second": 1.093,
52
+ "eval_steps_per_second": 0.182,
53
+ "step": 50
54
+ },
55
+ {
56
+ "epoch": 0.008446540437812346,
57
+ "grad_norm": 5.217889785766602,
58
+ "learning_rate": 1.18e-05,
59
+ "loss": 0.7106,
60
+ "step": 60
61
+ },
62
+ {
63
+ "epoch": 0.009854297177447737,
64
+ "grad_norm": 3.599144220352173,
65
+ "learning_rate": 1.3800000000000002e-05,
66
+ "loss": 0.4218,
67
+ "step": 70
68
+ },
69
+ {
70
+ "epoch": 0.011262053917083127,
71
+ "grad_norm": 3.288975477218628,
72
+ "learning_rate": 1.58e-05,
73
+ "loss": 0.504,
74
+ "step": 80
75
+ },
76
+ {
77
+ "epoch": 0.012669810656718518,
78
+ "grad_norm": 4.049589157104492,
79
+ "learning_rate": 1.78e-05,
80
+ "loss": 0.9516,
81
+ "step": 90
82
+ }
83
+ ],
84
+ "logging_steps": 10,
85
+ "max_steps": 90,
86
+ "num_input_tokens_seen": 0,
87
+ "num_train_epochs": 1,
88
+ "save_steps": 50,
89
+ "stateful_callbacks": {
90
+ "TrainerControl": {
91
+ "args": {
92
+ "should_epoch_stop": false,
93
+ "should_evaluate": false,
94
+ "should_log": false,
95
+ "should_save": true,
96
+ "should_training_stop": true
97
+ },
98
+ "attributes": {}
99
+ }
100
+ },
101
+ "total_flos": 1.6167107079438336e+16,
102
+ "train_batch_size": 2,
103
+ "trial_name": null,
104
+ "trial_params": null
105
+ }
test_run_uploads/checkpoint-90/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:97c4848f189bc8ef55d633cdc5629ac09caf902f18ecbe802fee52f91633580d
3
+ size 6097
test_run_uploads/validation_outputs/validation_outputs_step_50.jsonl ADDED
The diff for this file is too large to render. See raw diff