dzanbek commited on
Commit
c18a8d3
·
verified ·
1 Parent(s): e10af51

Training in progress, step 25, checkpoint

Browse files
last-checkpoint/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: fxmarty/tiny-dummy-qwen2
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.13.2
last-checkpoint/adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "fxmarty/tiny-dummy-qwen2",
5
+ "bias": "none",
6
+ "fan_in_fan_out": null,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layer_replication": null,
10
+ "layers_pattern": null,
11
+ "layers_to_transform": null,
12
+ "loftq_config": {},
13
+ "lora_alpha": 32,
14
+ "lora_dropout": 0.1,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 16,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "o_proj",
24
+ "up_proj",
25
+ "v_proj",
26
+ "k_proj",
27
+ "down_proj",
28
+ "q_proj",
29
+ "gate_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
last-checkpoint/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3594c26aec8a4eaa9af07515f5ac9926def01a59bf558ddae02d4415d94b3e7a
3
+ size 26008
last-checkpoint/added_tokens.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "<|endoftext|>": 151643,
3
+ "<|im_end|>": 151645,
4
+ "<|im_start|>": 151644
5
+ }
last-checkpoint/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
last-checkpoint/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5b2260f120de42c8c1e77eeb428737536da81e79af2faaab10111bfadd53fc62
3
+ size 68874
last-checkpoint/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:52c1e8dd4ba9ace9e6fcca937683862f29cfd6bf4fb3642d8d44c9c9a4359dc1
3
+ size 14244
last-checkpoint/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:040b95482c646935022d148ebc91f462fbf2195cfa3365adbbe3bd6ca1f35a74
3
+ size 1064
last-checkpoint/special_tokens_map.json ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>"
5
+ ],
6
+ "eos_token": {
7
+ "content": "<|endoftext|>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "pad_token": {
14
+ "content": "<|endoftext|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ }
20
+ }
last-checkpoint/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bcfe42da0a4497e8b2b172c1f9f4ec423a46dc12907f4349c55025f670422ba9
3
+ size 11418266
last-checkpoint/tokenizer_config.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "151643": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "151644": {
13
+ "content": "<|im_start|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "151645": {
21
+ "content": "<|im_end|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ }
28
+ },
29
+ "additional_special_tokens": [
30
+ "<|im_start|>",
31
+ "<|im_end|>"
32
+ ],
33
+ "bos_token": null,
34
+ "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
35
+ "clean_up_tokenization_spaces": false,
36
+ "eos_token": "<|endoftext|>",
37
+ "errors": "replace",
38
+ "model_max_length": 32768,
39
+ "pad_token": "<|endoftext|>",
40
+ "split_special_tokens": false,
41
+ "tokenizer_class": "Qwen2Tokenizer",
42
+ "unk_token": null
43
+ }
last-checkpoint/trainer_state.json ADDED
@@ -0,0 +1,256 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.03537944454272068,
5
+ "eval_steps": 5,
6
+ "global_step": 25,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0014151777817088271,
13
+ "grad_norm": 0.20514807105064392,
14
+ "learning_rate": 2e-05,
15
+ "loss": 11.9175,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.0014151777817088271,
20
+ "eval_loss": 11.916790962219238,
21
+ "eval_runtime": 8.5875,
22
+ "eval_samples_per_second": 69.403,
23
+ "eval_steps_per_second": 34.702,
24
+ "step": 1
25
+ },
26
+ {
27
+ "epoch": 0.0028303555634176542,
28
+ "grad_norm": 0.23273983597755432,
29
+ "learning_rate": 4e-05,
30
+ "loss": 11.9373,
31
+ "step": 2
32
+ },
33
+ {
34
+ "epoch": 0.004245533345126481,
35
+ "grad_norm": 0.2802961468696594,
36
+ "learning_rate": 6e-05,
37
+ "loss": 11.9104,
38
+ "step": 3
39
+ },
40
+ {
41
+ "epoch": 0.0056607111268353084,
42
+ "grad_norm": 0.23625600337982178,
43
+ "learning_rate": 8e-05,
44
+ "loss": 11.9218,
45
+ "step": 4
46
+ },
47
+ {
48
+ "epoch": 0.0070758889085441356,
49
+ "grad_norm": 0.22699324786663055,
50
+ "learning_rate": 0.0001,
51
+ "loss": 11.915,
52
+ "step": 5
53
+ },
54
+ {
55
+ "epoch": 0.0070758889085441356,
56
+ "eval_loss": 11.916035652160645,
57
+ "eval_runtime": 8.7182,
58
+ "eval_samples_per_second": 68.362,
59
+ "eval_steps_per_second": 34.181,
60
+ "step": 5
61
+ },
62
+ {
63
+ "epoch": 0.008491066690252963,
64
+ "grad_norm": 0.21260926127433777,
65
+ "learning_rate": 0.00012,
66
+ "loss": 11.9222,
67
+ "step": 6
68
+ },
69
+ {
70
+ "epoch": 0.00990624447196179,
71
+ "grad_norm": 0.2168704867362976,
72
+ "learning_rate": 0.00014,
73
+ "loss": 11.9087,
74
+ "step": 7
75
+ },
76
+ {
77
+ "epoch": 0.011321422253670617,
78
+ "grad_norm": 0.2431064248085022,
79
+ "learning_rate": 0.00016,
80
+ "loss": 11.9209,
81
+ "step": 8
82
+ },
83
+ {
84
+ "epoch": 0.012736600035379445,
85
+ "grad_norm": 0.19750989973545074,
86
+ "learning_rate": 0.00018,
87
+ "loss": 11.9141,
88
+ "step": 9
89
+ },
90
+ {
91
+ "epoch": 0.014151777817088271,
92
+ "grad_norm": 0.21232645213603973,
93
+ "learning_rate": 0.0002,
94
+ "loss": 11.9101,
95
+ "step": 10
96
+ },
97
+ {
98
+ "epoch": 0.014151777817088271,
99
+ "eval_loss": 11.913423538208008,
100
+ "eval_runtime": 8.7577,
101
+ "eval_samples_per_second": 68.054,
102
+ "eval_steps_per_second": 34.027,
103
+ "step": 10
104
+ },
105
+ {
106
+ "epoch": 0.015566955598797099,
107
+ "grad_norm": 0.2188003957271576,
108
+ "learning_rate": 0.0001996917333733128,
109
+ "loss": 11.9215,
110
+ "step": 11
111
+ },
112
+ {
113
+ "epoch": 0.016982133380505925,
114
+ "grad_norm": 0.19326922297477722,
115
+ "learning_rate": 0.00019876883405951377,
116
+ "loss": 11.9316,
117
+ "step": 12
118
+ },
119
+ {
120
+ "epoch": 0.01839731116221475,
121
+ "grad_norm": 0.22555257380008698,
122
+ "learning_rate": 0.00019723699203976766,
123
+ "loss": 11.9136,
124
+ "step": 13
125
+ },
126
+ {
127
+ "epoch": 0.01981248894392358,
128
+ "grad_norm": 0.2110656350851059,
129
+ "learning_rate": 0.00019510565162951537,
130
+ "loss": 11.8945,
131
+ "step": 14
132
+ },
133
+ {
134
+ "epoch": 0.021227666725632408,
135
+ "grad_norm": 0.20976051688194275,
136
+ "learning_rate": 0.0001923879532511287,
137
+ "loss": 11.9,
138
+ "step": 15
139
+ },
140
+ {
141
+ "epoch": 0.021227666725632408,
142
+ "eval_loss": 11.909821510314941,
143
+ "eval_runtime": 8.6935,
144
+ "eval_samples_per_second": 68.557,
145
+ "eval_steps_per_second": 34.279,
146
+ "step": 15
147
+ },
148
+ {
149
+ "epoch": 0.022642844507341234,
150
+ "grad_norm": 0.24981027841567993,
151
+ "learning_rate": 0.0001891006524188368,
152
+ "loss": 11.8935,
153
+ "step": 16
154
+ },
155
+ {
156
+ "epoch": 0.024058022289050063,
157
+ "grad_norm": 0.2591237723827362,
158
+ "learning_rate": 0.00018526401643540922,
159
+ "loss": 11.905,
160
+ "step": 17
161
+ },
162
+ {
163
+ "epoch": 0.02547320007075889,
164
+ "grad_norm": 0.22017155587673187,
165
+ "learning_rate": 0.00018090169943749476,
166
+ "loss": 11.9214,
167
+ "step": 18
168
+ },
169
+ {
170
+ "epoch": 0.026888377852467716,
171
+ "grad_norm": 0.25297868251800537,
172
+ "learning_rate": 0.0001760405965600031,
173
+ "loss": 11.9002,
174
+ "step": 19
175
+ },
176
+ {
177
+ "epoch": 0.028303555634176542,
178
+ "grad_norm": 0.25911155343055725,
179
+ "learning_rate": 0.00017071067811865476,
180
+ "loss": 11.9091,
181
+ "step": 20
182
+ },
183
+ {
184
+ "epoch": 0.028303555634176542,
185
+ "eval_loss": 11.90591049194336,
186
+ "eval_runtime": 8.6221,
187
+ "eval_samples_per_second": 69.125,
188
+ "eval_steps_per_second": 34.562,
189
+ "step": 20
190
+ },
191
+ {
192
+ "epoch": 0.029718733415885372,
193
+ "grad_norm": 0.24711765348911285,
194
+ "learning_rate": 0.00016494480483301836,
195
+ "loss": 11.9044,
196
+ "step": 21
197
+ },
198
+ {
199
+ "epoch": 0.031133911197594198,
200
+ "grad_norm": 0.2823926508426666,
201
+ "learning_rate": 0.00015877852522924732,
202
+ "loss": 11.8933,
203
+ "step": 22
204
+ },
205
+ {
206
+ "epoch": 0.032549088979303024,
207
+ "grad_norm": 0.2736799418926239,
208
+ "learning_rate": 0.0001522498564715949,
209
+ "loss": 11.9053,
210
+ "step": 23
211
+ },
212
+ {
213
+ "epoch": 0.03396426676101185,
214
+ "grad_norm": 0.31680405139923096,
215
+ "learning_rate": 0.00014539904997395468,
216
+ "loss": 11.9123,
217
+ "step": 24
218
+ },
219
+ {
220
+ "epoch": 0.03537944454272068,
221
+ "grad_norm": 0.31065115332603455,
222
+ "learning_rate": 0.000138268343236509,
223
+ "loss": 11.9045,
224
+ "step": 25
225
+ },
226
+ {
227
+ "epoch": 0.03537944454272068,
228
+ "eval_loss": 11.901829719543457,
229
+ "eval_runtime": 8.5918,
230
+ "eval_samples_per_second": 69.369,
231
+ "eval_steps_per_second": 34.684,
232
+ "step": 25
233
+ }
234
+ ],
235
+ "logging_steps": 1,
236
+ "max_steps": 50,
237
+ "num_input_tokens_seen": 0,
238
+ "num_train_epochs": 1,
239
+ "save_steps": 25,
240
+ "stateful_callbacks": {
241
+ "TrainerControl": {
242
+ "args": {
243
+ "should_epoch_stop": false,
244
+ "should_evaluate": false,
245
+ "should_log": false,
246
+ "should_save": true,
247
+ "should_training_stop": false
248
+ },
249
+ "attributes": {}
250
+ }
251
+ },
252
+ "total_flos": 37473484800.0,
253
+ "train_batch_size": 2,
254
+ "trial_name": null,
255
+ "trial_params": null
256
+ }
last-checkpoint/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:65971535d7dcecacd656e3000b5fcbd2f61e0335e3b37f51de73ee9711064521
3
+ size 6776
last-checkpoint/vocab.json ADDED
The diff for this file is too large to render. See raw diff