deneme0001 commited on
Commit
173718c
·
verified ·
1 Parent(s): f27e3c3

Upload 5 files

Browse files
README.md CHANGED
@@ -1,3 +1,207 @@
1
- ---
2
- license: apache-2.0
3
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:Qwen/Qwen2.5-Coder-1.5B-Instruct
7
+ - lora
8
+ - transformers
9
+ ---
10
+
11
+ # Model Card for Model ID
12
+
13
+ <!-- Provide a quick summary of what the model is/does. -->
14
+
15
+
16
+
17
+ ## Model Details
18
+
19
+ ### Model Description
20
+
21
+ <!-- Provide a longer summary of what this model is. -->
22
+
23
+
24
+
25
+ - **Developed by:** [More Information Needed]
26
+ - **Funded by [optional]:** [More Information Needed]
27
+ - **Shared by [optional]:** [More Information Needed]
28
+ - **Model type:** [More Information Needed]
29
+ - **Language(s) (NLP):** [More Information Needed]
30
+ - **License:** [More Information Needed]
31
+ - **Finetuned from model [optional]:** [More Information Needed]
32
+
33
+ ### Model Sources [optional]
34
+
35
+ <!-- Provide the basic links for the model. -->
36
+
37
+ - **Repository:** [More Information Needed]
38
+ - **Paper [optional]:** [More Information Needed]
39
+ - **Demo [optional]:** [More Information Needed]
40
+
41
+ ## Uses
42
+
43
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
44
+
45
+ ### Direct Use
46
+
47
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
48
+
49
+ [More Information Needed]
50
+
51
+ ### Downstream Use [optional]
52
+
53
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
54
+
55
+ [More Information Needed]
56
+
57
+ ### Out-of-Scope Use
58
+
59
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
60
+
61
+ [More Information Needed]
62
+
63
+ ## Bias, Risks, and Limitations
64
+
65
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
66
+
67
+ [More Information Needed]
68
+
69
+ ### Recommendations
70
+
71
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
72
+
73
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
74
+
75
+ ## How to Get Started with the Model
76
+
77
+ Use the code below to get started with the model.
78
+
79
+ [More Information Needed]
80
+
81
+ ## Training Details
82
+
83
+ ### Training Data
84
+
85
+ <!-- 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. -->
86
+
87
+ [More Information Needed]
88
+
89
+ ### Training Procedure
90
+
91
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
92
+
93
+ #### Preprocessing [optional]
94
+
95
+ [More Information Needed]
96
+
97
+
98
+ #### Training Hyperparameters
99
+
100
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
101
+
102
+ #### Speeds, Sizes, Times [optional]
103
+
104
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
105
+
106
+ [More Information Needed]
107
+
108
+ ## Evaluation
109
+
110
+ <!-- This section describes the evaluation protocols and provides the results. -->
111
+
112
+ ### Testing Data, Factors & Metrics
113
+
114
+ #### Testing Data
115
+
116
+ <!-- This should link to a Dataset Card if possible. -->
117
+
118
+ [More Information Needed]
119
+
120
+ #### Factors
121
+
122
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
123
+
124
+ [More Information Needed]
125
+
126
+ #### Metrics
127
+
128
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
129
+
130
+ [More Information Needed]
131
+
132
+ ### Results
133
+
134
+ [More Information Needed]
135
+
136
+ #### Summary
137
+
138
+
139
+
140
+ ## Model Examination [optional]
141
+
142
+ <!-- Relevant interpretability work for the model goes here -->
143
+
144
+ [More Information Needed]
145
+
146
+ ## Environmental Impact
147
+
148
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
149
+
150
+ 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).
151
+
152
+ - **Hardware Type:** [More Information Needed]
153
+ - **Hours used:** [More Information Needed]
154
+ - **Cloud Provider:** [More Information Needed]
155
+ - **Compute Region:** [More Information Needed]
156
+ - **Carbon Emitted:** [More Information Needed]
157
+
158
+ ## Technical Specifications [optional]
159
+
160
+ ### Model Architecture and Objective
161
+
162
+ [More Information Needed]
163
+
164
+ ### Compute Infrastructure
165
+
166
+ [More Information Needed]
167
+
168
+ #### Hardware
169
+
170
+ [More Information Needed]
171
+
172
+ #### Software
173
+
174
+ [More Information Needed]
175
+
176
+ ## Citation [optional]
177
+
178
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
179
+
180
+ **BibTeX:**
181
+
182
+ [More Information Needed]
183
+
184
+ **APA:**
185
+
186
+ [More Information Needed]
187
+
188
+ ## Glossary [optional]
189
+
190
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
191
+
192
+ [More Information Needed]
193
+
194
+ ## More Information [optional]
195
+
196
+ [More Information Needed]
197
+
198
+ ## Model Card Authors [optional]
199
+
200
+ [More Information Needed]
201
+
202
+ ## Model Card Contact
203
+
204
+ [More Information Needed]
205
+ ### Framework versions
206
+
207
+ - PEFT 0.18.0
adapter_config.json ADDED
@@ -0,0 +1,46 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alora_invocation_tokens": null,
3
+ "alpha_pattern": {},
4
+ "arrow_config": null,
5
+ "auto_mapping": null,
6
+ "base_model_name_or_path": "Qwen/Qwen2.5-Coder-1.5B-Instruct",
7
+ "bias": "none",
8
+ "corda_config": null,
9
+ "ensure_weight_tying": false,
10
+ "eva_config": null,
11
+ "exclude_modules": null,
12
+ "fan_in_fan_out": false,
13
+ "inference_mode": true,
14
+ "init_lora_weights": true,
15
+ "layer_replication": null,
16
+ "layers_pattern": null,
17
+ "layers_to_transform": null,
18
+ "loftq_config": {},
19
+ "lora_alpha": 64,
20
+ "lora_bias": false,
21
+ "lora_dropout": 0.05,
22
+ "megatron_config": null,
23
+ "megatron_core": "megatron.core",
24
+ "modules_to_save": null,
25
+ "peft_type": "LORA",
26
+ "peft_version": "0.18.0",
27
+ "qalora_group_size": 16,
28
+ "r": 32,
29
+ "rank_pattern": {},
30
+ "revision": null,
31
+ "target_modules": [
32
+ "down_proj",
33
+ "k_proj",
34
+ "up_proj",
35
+ "o_proj",
36
+ "gate_proj",
37
+ "v_proj",
38
+ "q_proj"
39
+ ],
40
+ "target_parameters": null,
41
+ "task_type": "CAUSAL_LM",
42
+ "trainable_token_indices": null,
43
+ "use_dora": false,
44
+ "use_qalora": false,
45
+ "use_rslora": false
46
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f14290f9e5d2dc79628aaa750a30792891deeb807eb7a7ec5fba35a85747abf7
3
+ size 147770496
trainer_state.json ADDED
@@ -0,0 +1,264 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.7092198581560284,
6
+ "eval_steps": 20,
7
+ "global_step": 200,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.07092198581560284,
14
+ "grad_norm": 0.4411725103855133,
15
+ "learning_rate": 9.775413711583924e-05,
16
+ "loss": 0.4587,
17
+ "step": 20
18
+ },
19
+ {
20
+ "epoch": 0.07092198581560284,
21
+ "eval_valid_loss": 0.5579081773757935,
22
+ "eval_valid_runtime": 0.5769,
23
+ "eval_valid_samples_per_second": 26.003,
24
+ "eval_valid_steps_per_second": 3.467,
25
+ "step": 20
26
+ },
27
+ {
28
+ "epoch": 0.07092198581560284,
29
+ "eval_test_loss": 0.4375748336315155,
30
+ "eval_test_runtime": 17.9126,
31
+ "eval_test_samples_per_second": 26.797,
32
+ "eval_test_steps_per_second": 3.35,
33
+ "step": 20
34
+ },
35
+ {
36
+ "epoch": 0.14184397163120568,
37
+ "grad_norm": 0.3396584689617157,
38
+ "learning_rate": 9.539007092198582e-05,
39
+ "loss": 0.39,
40
+ "step": 40
41
+ },
42
+ {
43
+ "epoch": 0.14184397163120568,
44
+ "eval_valid_loss": 0.5398206114768982,
45
+ "eval_valid_runtime": 0.576,
46
+ "eval_valid_samples_per_second": 26.044,
47
+ "eval_valid_steps_per_second": 3.472,
48
+ "step": 40
49
+ },
50
+ {
51
+ "epoch": 0.14184397163120568,
52
+ "eval_test_loss": 0.4187872111797333,
53
+ "eval_test_runtime": 17.9258,
54
+ "eval_test_samples_per_second": 26.777,
55
+ "eval_test_steps_per_second": 3.347,
56
+ "step": 40
57
+ },
58
+ {
59
+ "epoch": 0.2127659574468085,
60
+ "grad_norm": 0.40809884667396545,
61
+ "learning_rate": 9.302600472813238e-05,
62
+ "loss": 0.3838,
63
+ "step": 60
64
+ },
65
+ {
66
+ "epoch": 0.2127659574468085,
67
+ "eval_valid_loss": 0.5342534184455872,
68
+ "eval_valid_runtime": 0.576,
69
+ "eval_valid_samples_per_second": 26.04,
70
+ "eval_valid_steps_per_second": 3.472,
71
+ "step": 60
72
+ },
73
+ {
74
+ "epoch": 0.2127659574468085,
75
+ "eval_test_loss": 0.4113999009132385,
76
+ "eval_test_runtime": 17.9356,
77
+ "eval_test_samples_per_second": 26.762,
78
+ "eval_test_steps_per_second": 3.345,
79
+ "step": 60
80
+ },
81
+ {
82
+ "epoch": 0.28368794326241137,
83
+ "grad_norm": 0.3752501904964447,
84
+ "learning_rate": 9.066193853427897e-05,
85
+ "loss": 0.3455,
86
+ "step": 80
87
+ },
88
+ {
89
+ "epoch": 0.28368794326241137,
90
+ "eval_valid_loss": 0.5170475244522095,
91
+ "eval_valid_runtime": 0.5767,
92
+ "eval_valid_samples_per_second": 26.01,
93
+ "eval_valid_steps_per_second": 3.468,
94
+ "step": 80
95
+ },
96
+ {
97
+ "epoch": 0.28368794326241137,
98
+ "eval_test_loss": 0.40657365322113037,
99
+ "eval_test_runtime": 17.9295,
100
+ "eval_test_samples_per_second": 26.772,
101
+ "eval_test_steps_per_second": 3.346,
102
+ "step": 80
103
+ },
104
+ {
105
+ "epoch": 0.3546099290780142,
106
+ "grad_norm": 0.399515300989151,
107
+ "learning_rate": 8.829787234042553e-05,
108
+ "loss": 0.3501,
109
+ "step": 100
110
+ },
111
+ {
112
+ "epoch": 0.3546099290780142,
113
+ "eval_valid_loss": 0.5137313604354858,
114
+ "eval_valid_runtime": 0.5779,
115
+ "eval_valid_samples_per_second": 25.958,
116
+ "eval_valid_steps_per_second": 3.461,
117
+ "step": 100
118
+ },
119
+ {
120
+ "epoch": 0.3546099290780142,
121
+ "eval_test_loss": 0.40371188521385193,
122
+ "eval_test_runtime": 17.9374,
123
+ "eval_test_samples_per_second": 26.76,
124
+ "eval_test_steps_per_second": 3.345,
125
+ "step": 100
126
+ },
127
+ {
128
+ "epoch": 0.425531914893617,
129
+ "grad_norm": 0.3764987885951996,
130
+ "learning_rate": 8.593380614657211e-05,
131
+ "loss": 0.3521,
132
+ "step": 120
133
+ },
134
+ {
135
+ "epoch": 0.425531914893617,
136
+ "eval_valid_loss": 0.5120474100112915,
137
+ "eval_valid_runtime": 0.577,
138
+ "eval_valid_samples_per_second": 25.996,
139
+ "eval_valid_steps_per_second": 3.466,
140
+ "step": 120
141
+ },
142
+ {
143
+ "epoch": 0.425531914893617,
144
+ "eval_test_loss": 0.40052852034568787,
145
+ "eval_test_runtime": 17.9379,
146
+ "eval_test_samples_per_second": 26.759,
147
+ "eval_test_steps_per_second": 3.345,
148
+ "step": 120
149
+ },
150
+ {
151
+ "epoch": 0.49645390070921985,
152
+ "grad_norm": 0.4307573437690735,
153
+ "learning_rate": 8.356973995271869e-05,
154
+ "loss": 0.3523,
155
+ "step": 140
156
+ },
157
+ {
158
+ "epoch": 0.49645390070921985,
159
+ "eval_valid_loss": 0.5145517587661743,
160
+ "eval_valid_runtime": 0.5771,
161
+ "eval_valid_samples_per_second": 25.992,
162
+ "eval_valid_steps_per_second": 3.466,
163
+ "step": 140
164
+ },
165
+ {
166
+ "epoch": 0.49645390070921985,
167
+ "eval_test_loss": 0.3979322016239166,
168
+ "eval_test_runtime": 17.9342,
169
+ "eval_test_samples_per_second": 26.765,
170
+ "eval_test_steps_per_second": 3.346,
171
+ "step": 140
172
+ },
173
+ {
174
+ "epoch": 0.5673758865248227,
175
+ "grad_norm": 0.42571648955345154,
176
+ "learning_rate": 8.120567375886525e-05,
177
+ "loss": 0.3463,
178
+ "step": 160
179
+ },
180
+ {
181
+ "epoch": 0.5673758865248227,
182
+ "eval_valid_loss": 0.5077592134475708,
183
+ "eval_valid_runtime": 0.5775,
184
+ "eval_valid_samples_per_second": 25.972,
185
+ "eval_valid_steps_per_second": 3.463,
186
+ "step": 160
187
+ },
188
+ {
189
+ "epoch": 0.5673758865248227,
190
+ "eval_test_loss": 0.39705216884613037,
191
+ "eval_test_runtime": 17.9327,
192
+ "eval_test_samples_per_second": 26.767,
193
+ "eval_test_steps_per_second": 3.346,
194
+ "step": 160
195
+ },
196
+ {
197
+ "epoch": 0.6382978723404256,
198
+ "grad_norm": 0.43494898080825806,
199
+ "learning_rate": 7.884160756501182e-05,
200
+ "loss": 0.3345,
201
+ "step": 180
202
+ },
203
+ {
204
+ "epoch": 0.6382978723404256,
205
+ "eval_valid_loss": 0.5126659274101257,
206
+ "eval_valid_runtime": 0.577,
207
+ "eval_valid_samples_per_second": 25.999,
208
+ "eval_valid_steps_per_second": 3.466,
209
+ "step": 180
210
+ },
211
+ {
212
+ "epoch": 0.6382978723404256,
213
+ "eval_test_loss": 0.39509347081184387,
214
+ "eval_test_runtime": 17.9456,
215
+ "eval_test_samples_per_second": 26.747,
216
+ "eval_test_steps_per_second": 3.343,
217
+ "step": 180
218
+ },
219
+ {
220
+ "epoch": 0.7092198581560284,
221
+ "grad_norm": 0.4940604269504547,
222
+ "learning_rate": 7.64775413711584e-05,
223
+ "loss": 0.3194,
224
+ "step": 200
225
+ },
226
+ {
227
+ "epoch": 0.7092198581560284,
228
+ "eval_valid_loss": 0.5195654034614563,
229
+ "eval_valid_runtime": 0.5773,
230
+ "eval_valid_samples_per_second": 25.984,
231
+ "eval_valid_steps_per_second": 3.465,
232
+ "step": 200
233
+ },
234
+ {
235
+ "epoch": 0.7092198581560284,
236
+ "eval_test_loss": 0.39300256967544556,
237
+ "eval_test_runtime": 17.9386,
238
+ "eval_test_samples_per_second": 26.758,
239
+ "eval_test_steps_per_second": 3.345,
240
+ "step": 200
241
+ }
242
+ ],
243
+ "logging_steps": 20,
244
+ "max_steps": 846,
245
+ "num_input_tokens_seen": 0,
246
+ "num_train_epochs": 3,
247
+ "save_steps": 100,
248
+ "stateful_callbacks": {
249
+ "TrainerControl": {
250
+ "args": {
251
+ "should_epoch_stop": false,
252
+ "should_evaluate": false,
253
+ "should_log": false,
254
+ "should_save": true,
255
+ "should_training_stop": false
256
+ },
257
+ "attributes": {}
258
+ }
259
+ },
260
+ "total_flos": 2.64884088471552e+16,
261
+ "train_batch_size": 16,
262
+ "trial_name": null,
263
+ "trial_params": null
264
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:43ff6875ed6ee8b2c788c8b031d32ad026050ab4bb64673f05835a1bddd9f998
3
+ size 5905