SeungHeeKim commited on
Commit
ec27695
·
verified ·
1 Parent(s): eb2b30d

Upload checkpoint-3930 to mmdocteam

Browse files
README.md ADDED
@@ -0,0 +1,206 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Qwen/Qwen3-Embedding-4B
3
+ library_name: peft
4
+ tags:
5
+ - base_model:adapter:Qwen/Qwen3-Embedding-4B
6
+ - lora
7
+ - transformers
8
+ ---
9
+
10
+ # Model Card for Model ID
11
+
12
+ <!-- Provide a quick summary of what the model is/does. -->
13
+
14
+
15
+
16
+ ## Model Details
17
+
18
+ ### Model Description
19
+
20
+ <!-- Provide a longer summary of what this model is. -->
21
+
22
+
23
+
24
+ - **Developed by:** [More Information Needed]
25
+ - **Funded by [optional]:** [More Information Needed]
26
+ - **Shared by [optional]:** [More Information Needed]
27
+ - **Model type:** [More Information Needed]
28
+ - **Language(s) (NLP):** [More Information Needed]
29
+ - **License:** [More Information Needed]
30
+ - **Finetuned from model [optional]:** [More Information Needed]
31
+
32
+ ### Model Sources [optional]
33
+
34
+ <!-- Provide the basic links for the model. -->
35
+
36
+ - **Repository:** [More Information Needed]
37
+ - **Paper [optional]:** [More Information Needed]
38
+ - **Demo [optional]:** [More Information Needed]
39
+
40
+ ## Uses
41
+
42
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
43
+
44
+ ### Direct Use
45
+
46
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
47
+
48
+ [More Information Needed]
49
+
50
+ ### Downstream Use [optional]
51
+
52
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
53
+
54
+ [More Information Needed]
55
+
56
+ ### Out-of-Scope Use
57
+
58
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
59
+
60
+ [More Information Needed]
61
+
62
+ ## Bias, Risks, and Limitations
63
+
64
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
65
+
66
+ [More Information Needed]
67
+
68
+ ### Recommendations
69
+
70
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
71
+
72
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
73
+
74
+ ## How to Get Started with the Model
75
+
76
+ Use the code below to get started with the model.
77
+
78
+ [More Information Needed]
79
+
80
+ ## Training Details
81
+
82
+ ### Training Data
83
+
84
+ <!-- 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. -->
85
+
86
+ [More Information Needed]
87
+
88
+ ### Training Procedure
89
+
90
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
91
+
92
+ #### Preprocessing [optional]
93
+
94
+ [More Information Needed]
95
+
96
+
97
+ #### Training Hyperparameters
98
+
99
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
100
+
101
+ #### Speeds, Sizes, Times [optional]
102
+
103
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
104
+
105
+ [More Information Needed]
106
+
107
+ ## Evaluation
108
+
109
+ <!-- This section describes the evaluation protocols and provides the results. -->
110
+
111
+ ### Testing Data, Factors & Metrics
112
+
113
+ #### Testing Data
114
+
115
+ <!-- This should link to a Dataset Card if possible. -->
116
+
117
+ [More Information Needed]
118
+
119
+ #### Factors
120
+
121
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
122
+
123
+ [More Information Needed]
124
+
125
+ #### Metrics
126
+
127
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
128
+
129
+ [More Information Needed]
130
+
131
+ ### Results
132
+
133
+ [More Information Needed]
134
+
135
+ #### Summary
136
+
137
+
138
+
139
+ ## Model Examination [optional]
140
+
141
+ <!-- Relevant interpretability work for the model goes here -->
142
+
143
+ [More Information Needed]
144
+
145
+ ## Environmental Impact
146
+
147
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
148
+
149
+ 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).
150
+
151
+ - **Hardware Type:** [More Information Needed]
152
+ - **Hours used:** [More Information Needed]
153
+ - **Cloud Provider:** [More Information Needed]
154
+ - **Compute Region:** [More Information Needed]
155
+ - **Carbon Emitted:** [More Information Needed]
156
+
157
+ ## Technical Specifications [optional]
158
+
159
+ ### Model Architecture and Objective
160
+
161
+ [More Information Needed]
162
+
163
+ ### Compute Infrastructure
164
+
165
+ [More Information Needed]
166
+
167
+ #### Hardware
168
+
169
+ [More Information Needed]
170
+
171
+ #### Software
172
+
173
+ [More Information Needed]
174
+
175
+ ## Citation [optional]
176
+
177
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
178
+
179
+ **BibTeX:**
180
+
181
+ [More Information Needed]
182
+
183
+ **APA:**
184
+
185
+ [More Information Needed]
186
+
187
+ ## Glossary [optional]
188
+
189
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
190
+
191
+ [More Information Needed]
192
+
193
+ ## More Information [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Authors [optional]
198
+
199
+ [More Information Needed]
200
+
201
+ ## Model Card Contact
202
+
203
+ [More Information Needed]
204
+ ### Framework versions
205
+
206
+ - PEFT 0.17.1
adapter_config.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "Qwen/Qwen3-Embedding-4B",
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": "gaussian",
12
+ "layer_replication": null,
13
+ "layers_pattern": null,
14
+ "layers_to_transform": null,
15
+ "loftq_config": {},
16
+ "lora_alpha": 32,
17
+ "lora_bias": false,
18
+ "lora_dropout": 0.1,
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
+ "v_proj",
29
+ "down_proj",
30
+ "custom_text_proj",
31
+ "q_proj",
32
+ "up_proj",
33
+ "gate_proj",
34
+ "o_proj",
35
+ "k_proj"
36
+ ],
37
+ "target_parameters": null,
38
+ "task_type": "FEATURE_EXTRACTION",
39
+ "trainable_token_indices": null,
40
+ "use_dora": false,
41
+ "use_qalora": false,
42
+ "use_rslora": false
43
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bfacc3bbebbba3e291f24a6523fb8f4be054e3da7ec2bf7a3a0560549c384af0
3
+ size 264650168
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7776c967d42a9e1410ac8af5be3f3dac3c0c92f3648f069a0d5c7f66b1c8f381
3
+ size 529605265
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b4cfa472cabb81ec488f46eea179e6614e05a9e68d05a23fc84628bfc8adf594
3
+ size 14645
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7fc1a48a9381aaf548fbac68f6c3dceb4b383299ca07a1ab47f8acc883095bac
3
+ size 1465
trainer_state.json ADDED
@@ -0,0 +1,750 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.3816793893129771,
6
+ "eval_steps": 500,
7
+ "global_step": 1000,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.003816793893129771,
14
+ "grad_norm": 2.560382604598999,
15
+ "learning_rate": 1.3740458015267178e-06,
16
+ "loss": 0.1604,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.007633587786259542,
21
+ "grad_norm": 3.7791059017181396,
22
+ "learning_rate": 2.900763358778626e-06,
23
+ "loss": 0.2,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.011450381679389313,
28
+ "grad_norm": 3.4597890377044678,
29
+ "learning_rate": 4.427480916030535e-06,
30
+ "loss": 0.1753,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.015267175572519083,
35
+ "grad_norm": 2.7554614543914795,
36
+ "learning_rate": 5.9541984732824435e-06,
37
+ "loss": 0.1171,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.019083969465648856,
42
+ "grad_norm": 2.082803726196289,
43
+ "learning_rate": 7.480916030534352e-06,
44
+ "loss": 0.0549,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.022900763358778626,
49
+ "grad_norm": 2.8653404712677,
50
+ "learning_rate": 9.007633587786259e-06,
51
+ "loss": 0.0671,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.026717557251908396,
56
+ "grad_norm": 1.3137264251708984,
57
+ "learning_rate": 1.0534351145038168e-05,
58
+ "loss": 0.0492,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.030534351145038167,
63
+ "grad_norm": 1.7409602403640747,
64
+ "learning_rate": 1.2061068702290078e-05,
65
+ "loss": 0.0343,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.03435114503816794,
70
+ "grad_norm": 0.6623567342758179,
71
+ "learning_rate": 1.3587786259541987e-05,
72
+ "loss": 0.0439,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.03816793893129771,
77
+ "grad_norm": 1.5286792516708374,
78
+ "learning_rate": 1.5114503816793895e-05,
79
+ "loss": 0.0377,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.04198473282442748,
84
+ "grad_norm": 0.9364567399024963,
85
+ "learning_rate": 1.6641221374045802e-05,
86
+ "loss": 0.019,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.04580152671755725,
91
+ "grad_norm": 0.9754840135574341,
92
+ "learning_rate": 1.816793893129771e-05,
93
+ "loss": 0.0245,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.04961832061068702,
98
+ "grad_norm": 0.17266954481601715,
99
+ "learning_rate": 1.969465648854962e-05,
100
+ "loss": 0.0259,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.05343511450381679,
105
+ "grad_norm": 1.5330302715301514,
106
+ "learning_rate": 2.122137404580153e-05,
107
+ "loss": 0.0268,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.05725190839694656,
112
+ "grad_norm": 1.4104247093200684,
113
+ "learning_rate": 2.2748091603053437e-05,
114
+ "loss": 0.0211,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.061068702290076333,
119
+ "grad_norm": 0.004101096652448177,
120
+ "learning_rate": 2.4274809160305344e-05,
121
+ "loss": 0.0263,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.0648854961832061,
126
+ "grad_norm": 0.6165310144424438,
127
+ "learning_rate": 2.5801526717557254e-05,
128
+ "loss": 0.0138,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.06870229007633588,
133
+ "grad_norm": 0.37463024258613586,
134
+ "learning_rate": 2.732824427480916e-05,
135
+ "loss": 0.0322,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.07251908396946564,
140
+ "grad_norm": 0.620210587978363,
141
+ "learning_rate": 2.885496183206107e-05,
142
+ "loss": 0.0188,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.07633587786259542,
147
+ "grad_norm": 0.758702278137207,
148
+ "learning_rate": 3.038167938931298e-05,
149
+ "loss": 0.0139,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.08015267175572519,
154
+ "grad_norm": 1.3074781894683838,
155
+ "learning_rate": 3.190839694656489e-05,
156
+ "loss": 0.0306,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.08396946564885496,
161
+ "grad_norm": 0.6031699776649475,
162
+ "learning_rate": 3.3435114503816796e-05,
163
+ "loss": 0.0175,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.08778625954198473,
168
+ "grad_norm": 1.136716365814209,
169
+ "learning_rate": 3.4961832061068706e-05,
170
+ "loss": 0.0242,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.0916030534351145,
175
+ "grad_norm": 0.5463850498199463,
176
+ "learning_rate": 3.6488549618320616e-05,
177
+ "loss": 0.0218,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.09541984732824428,
182
+ "grad_norm": 0.1893869787454605,
183
+ "learning_rate": 3.801526717557252e-05,
184
+ "loss": 0.0171,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.09923664122137404,
189
+ "grad_norm": 0.05841643363237381,
190
+ "learning_rate": 3.954198473282443e-05,
191
+ "loss": 0.0183,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.10305343511450382,
196
+ "grad_norm": 0.5519092082977295,
197
+ "learning_rate": 3.999913022869401e-05,
198
+ "loss": 0.0171,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.10687022900763359,
203
+ "grad_norm": 0.75583815574646,
204
+ "learning_rate": 3.999487030645216e-05,
205
+ "loss": 0.0269,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.11068702290076336,
210
+ "grad_norm": 0.34393128752708435,
211
+ "learning_rate": 3.998706123456487e-05,
212
+ "loss": 0.021,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.11450381679389313,
217
+ "grad_norm": 0.741912841796875,
218
+ "learning_rate": 3.997570439916593e-05,
219
+ "loss": 0.0139,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.1183206106870229,
224
+ "grad_norm": 0.42950552701950073,
225
+ "learning_rate": 3.996080181612776e-05,
226
+ "loss": 0.01,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.12213740458015267,
231
+ "grad_norm": 0.8363562822341919,
232
+ "learning_rate": 3.9942356130703715e-05,
233
+ "loss": 0.0119,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.12595419847328243,
238
+ "grad_norm": 0.2727142572402954,
239
+ "learning_rate": 3.992037061705845e-05,
240
+ "loss": 0.0127,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.1297709923664122,
245
+ "grad_norm": 1.3103034496307373,
246
+ "learning_rate": 3.98948491776868e-05,
247
+ "loss": 0.0167,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.13358778625954199,
252
+ "grad_norm": 0.1281624436378479,
253
+ "learning_rate": 3.986579634272105e-05,
254
+ "loss": 0.0178,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.13740458015267176,
259
+ "grad_norm": 0.22181691229343414,
260
+ "learning_rate": 3.9833217269126826e-05,
261
+ "loss": 0.0213,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.14122137404580154,
266
+ "grad_norm": 0.3226180970668793,
267
+ "learning_rate": 3.979711773978772e-05,
268
+ "loss": 0.0177,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.1450381679389313,
273
+ "grad_norm": 0.15748214721679688,
274
+ "learning_rate": 3.9757504162478827e-05,
275
+ "loss": 0.0161,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.14885496183206107,
280
+ "grad_norm": 0.7109506726264954,
281
+ "learning_rate": 3.971438356872931e-05,
282
+ "loss": 0.0186,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.15267175572519084,
287
+ "grad_norm": 0.1298808604478836,
288
+ "learning_rate": 3.966776361257431e-05,
289
+ "loss": 0.0068,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.15648854961832062,
294
+ "grad_norm": 0.5112190842628479,
295
+ "learning_rate": 3.961765256919633e-05,
296
+ "loss": 0.0175,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.16030534351145037,
301
+ "grad_norm": 0.12070173770189285,
302
+ "learning_rate": 3.956405933345637e-05,
303
+ "loss": 0.0138,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.16412213740458015,
308
+ "grad_norm": 0.009782848879694939,
309
+ "learning_rate": 3.950699341831502e-05,
310
+ "loss": 0.0087,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.16793893129770993,
315
+ "grad_norm": 0.49791470170021057,
316
+ "learning_rate": 3.944646495314395e-05,
317
+ "loss": 0.0153,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.1717557251908397,
322
+ "grad_norm": 0.5504122376441956,
323
+ "learning_rate": 3.938248468192785e-05,
324
+ "loss": 0.0202,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.17557251908396945,
329
+ "grad_norm": 1.6467090845108032,
330
+ "learning_rate": 3.931506396135738e-05,
331
+ "loss": 0.0206,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.17938931297709923,
336
+ "grad_norm": 0.4959694445133209,
337
+ "learning_rate": 3.924421475881333e-05,
338
+ "loss": 0.0146,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.183206106870229,
343
+ "grad_norm": 0.6547468304634094,
344
+ "learning_rate": 3.916994965024234e-05,
345
+ "loss": 0.014,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.18702290076335878,
350
+ "grad_norm": 0.37912440299987793,
351
+ "learning_rate": 3.909228181792464e-05,
352
+ "loss": 0.0149,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.19083969465648856,
357
+ "grad_norm": 0.17722374200820923,
358
+ "learning_rate": 3.901122504813418e-05,
359
+ "loss": 0.0142,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.19083969465648856,
364
+ "eval_loss": 0.03738304600119591,
365
+ "eval_runtime": 140.2925,
366
+ "eval_samples_per_second": 56.895,
367
+ "eval_steps_per_second": 0.299,
368
+ "step": 500
369
+ },
370
+ {
371
+ "epoch": 0.1946564885496183,
372
+ "grad_norm": 0.012979953549802303,
373
+ "learning_rate": 3.89267937286915e-05,
374
+ "loss": 0.0095,
375
+ "step": 510
376
+ },
377
+ {
378
+ "epoch": 0.1984732824427481,
379
+ "grad_norm": 0.30195748805999756,
380
+ "learning_rate": 3.883900284640987e-05,
381
+ "loss": 0.0075,
382
+ "step": 520
383
+ },
384
+ {
385
+ "epoch": 0.20229007633587787,
386
+ "grad_norm": 0.7806116938591003,
387
+ "learning_rate": 3.874786798443505e-05,
388
+ "loss": 0.0169,
389
+ "step": 530
390
+ },
391
+ {
392
+ "epoch": 0.20610687022900764,
393
+ "grad_norm": 0.17662391066551208,
394
+ "learning_rate": 3.8653405319479285e-05,
395
+ "loss": 0.0135,
396
+ "step": 540
397
+ },
398
+ {
399
+ "epoch": 0.2099236641221374,
400
+ "grad_norm": 0.12067825347185135,
401
+ "learning_rate": 3.855563161894985e-05,
402
+ "loss": 0.0104,
403
+ "step": 550
404
+ },
405
+ {
406
+ "epoch": 0.21374045801526717,
407
+ "grad_norm": 0.5847358107566833,
408
+ "learning_rate": 3.8454564237972786e-05,
409
+ "loss": 0.0175,
410
+ "step": 560
411
+ },
412
+ {
413
+ "epoch": 0.21755725190839695,
414
+ "grad_norm": 0.2978436350822449,
415
+ "learning_rate": 3.835022111631235e-05,
416
+ "loss": 0.0093,
417
+ "step": 570
418
+ },
419
+ {
420
+ "epoch": 0.22137404580152673,
421
+ "grad_norm": 0.07228351384401321,
422
+ "learning_rate": 3.8242620775186596e-05,
423
+ "loss": 0.0111,
424
+ "step": 580
425
+ },
426
+ {
427
+ "epoch": 0.22519083969465647,
428
+ "grad_norm": 0.33176591992378235,
429
+ "learning_rate": 3.8131782313979864e-05,
430
+ "loss": 0.0087,
431
+ "step": 590
432
+ },
433
+ {
434
+ "epoch": 0.22900763358778625,
435
+ "grad_norm": 0.08005018532276154,
436
+ "learning_rate": 3.801772540685253e-05,
437
+ "loss": 0.011,
438
+ "step": 600
439
+ },
440
+ {
441
+ "epoch": 0.23282442748091603,
442
+ "grad_norm": 0.09141408652067184,
443
+ "learning_rate": 3.7900470299248824e-05,
444
+ "loss": 0.0111,
445
+ "step": 610
446
+ },
447
+ {
448
+ "epoch": 0.2366412213740458,
449
+ "grad_norm": 0.21106335520744324,
450
+ "learning_rate": 3.778003780430317e-05,
451
+ "loss": 0.0091,
452
+ "step": 620
453
+ },
454
+ {
455
+ "epoch": 0.24045801526717558,
456
+ "grad_norm": 0.8840196132659912,
457
+ "learning_rate": 3.7656449299145814e-05,
458
+ "loss": 0.0096,
459
+ "step": 630
460
+ },
461
+ {
462
+ "epoch": 0.24427480916030533,
463
+ "grad_norm": 0.09080683439970016,
464
+ "learning_rate": 3.7529726721108305e-05,
465
+ "loss": 0.0113,
466
+ "step": 640
467
+ },
468
+ {
469
+ "epoch": 0.2480916030534351,
470
+ "grad_norm": 0.026247017085552216,
471
+ "learning_rate": 3.739989256382957e-05,
472
+ "loss": 0.0117,
473
+ "step": 650
474
+ },
475
+ {
476
+ "epoch": 0.25190839694656486,
477
+ "grad_norm": 0.116756871342659,
478
+ "learning_rate": 3.726696987326319e-05,
479
+ "loss": 0.0097,
480
+ "step": 660
481
+ },
482
+ {
483
+ "epoch": 0.25572519083969464,
484
+ "grad_norm": 0.23034921288490295,
485
+ "learning_rate": 3.713098224358673e-05,
486
+ "loss": 0.0072,
487
+ "step": 670
488
+ },
489
+ {
490
+ "epoch": 0.2595419847328244,
491
+ "grad_norm": 0.03517864644527435,
492
+ "learning_rate": 3.699195381301364e-05,
493
+ "loss": 0.0048,
494
+ "step": 680
495
+ },
496
+ {
497
+ "epoch": 0.2633587786259542,
498
+ "grad_norm": 0.23623879253864288,
499
+ "learning_rate": 3.684990925950871e-05,
500
+ "loss": 0.0103,
501
+ "step": 690
502
+ },
503
+ {
504
+ "epoch": 0.26717557251908397,
505
+ "grad_norm": 0.043465759605169296,
506
+ "learning_rate": 3.6704873796407605e-05,
507
+ "loss": 0.0118,
508
+ "step": 700
509
+ },
510
+ {
511
+ "epoch": 0.27099236641221375,
512
+ "grad_norm": 0.2958603799343109,
513
+ "learning_rate": 3.655687316794144e-05,
514
+ "loss": 0.0092,
515
+ "step": 710
516
+ },
517
+ {
518
+ "epoch": 0.2748091603053435,
519
+ "grad_norm": 0.20194493234157562,
520
+ "learning_rate": 3.640593364466712e-05,
521
+ "loss": 0.0097,
522
+ "step": 720
523
+ },
524
+ {
525
+ "epoch": 0.2786259541984733,
526
+ "grad_norm": 1.3390525579452515,
527
+ "learning_rate": 3.625208201880421e-05,
528
+ "loss": 0.0155,
529
+ "step": 730
530
+ },
531
+ {
532
+ "epoch": 0.2824427480916031,
533
+ "grad_norm": 0.41017207503318787,
534
+ "learning_rate": 3.609534559947926e-05,
535
+ "loss": 0.0122,
536
+ "step": 740
537
+ },
538
+ {
539
+ "epoch": 0.2862595419847328,
540
+ "grad_norm": 0.30380892753601074,
541
+ "learning_rate": 3.5935752207878315e-05,
542
+ "loss": 0.0112,
543
+ "step": 750
544
+ },
545
+ {
546
+ "epoch": 0.2900763358778626,
547
+ "grad_norm": 0.3873494863510132,
548
+ "learning_rate": 3.5773330172308627e-05,
549
+ "loss": 0.0067,
550
+ "step": 760
551
+ },
552
+ {
553
+ "epoch": 0.29389312977099236,
554
+ "grad_norm": 0.4039303958415985,
555
+ "learning_rate": 3.5608108323170246e-05,
556
+ "loss": 0.0109,
557
+ "step": 770
558
+ },
559
+ {
560
+ "epoch": 0.29770992366412213,
561
+ "grad_norm": 0.5778370499610901,
562
+ "learning_rate": 3.544011598783855e-05,
563
+ "loss": 0.0177,
564
+ "step": 780
565
+ },
566
+ {
567
+ "epoch": 0.3015267175572519,
568
+ "grad_norm": 0.032092221081256866,
569
+ "learning_rate": 3.526938298545858e-05,
570
+ "loss": 0.0144,
571
+ "step": 790
572
+ },
573
+ {
574
+ "epoch": 0.3053435114503817,
575
+ "grad_norm": 0.06190834194421768,
576
+ "learning_rate": 3.509593962165199e-05,
577
+ "loss": 0.0117,
578
+ "step": 800
579
+ },
580
+ {
581
+ "epoch": 0.30916030534351147,
582
+ "grad_norm": 0.609595000743866,
583
+ "learning_rate": 3.491981668313776e-05,
584
+ "loss": 0.0141,
585
+ "step": 810
586
+ },
587
+ {
588
+ "epoch": 0.31297709923664124,
589
+ "grad_norm": 0.14446590840816498,
590
+ "learning_rate": 3.474104543226746e-05,
591
+ "loss": 0.0125,
592
+ "step": 820
593
+ },
594
+ {
595
+ "epoch": 0.31679389312977096,
596
+ "grad_norm": 0.23196451365947723,
597
+ "learning_rate": 3.455965760147604e-05,
598
+ "loss": 0.0068,
599
+ "step": 830
600
+ },
601
+ {
602
+ "epoch": 0.32061068702290074,
603
+ "grad_norm": 0.4062262177467346,
604
+ "learning_rate": 3.4375685387649266e-05,
605
+ "loss": 0.0157,
606
+ "step": 840
607
+ },
608
+ {
609
+ "epoch": 0.3244274809160305,
610
+ "grad_norm": 0.16551926732063293,
611
+ "learning_rate": 3.4189161446408706e-05,
612
+ "loss": 0.0048,
613
+ "step": 850
614
+ },
615
+ {
616
+ "epoch": 0.3282442748091603,
617
+ "grad_norm": 0.1871049553155899,
618
+ "learning_rate": 3.4000118886315173e-05,
619
+ "loss": 0.0082,
620
+ "step": 860
621
+ },
622
+ {
623
+ "epoch": 0.3320610687022901,
624
+ "grad_norm": 0.437691330909729,
625
+ "learning_rate": 3.3808591262991935e-05,
626
+ "loss": 0.0133,
627
+ "step": 870
628
+ },
629
+ {
630
+ "epoch": 0.33587786259541985,
631
+ "grad_norm": 0.24410566687583923,
632
+ "learning_rate": 3.361461257316845e-05,
633
+ "loss": 0.007,
634
+ "step": 880
635
+ },
636
+ {
637
+ "epoch": 0.33969465648854963,
638
+ "grad_norm": 0.532948911190033,
639
+ "learning_rate": 3.341821724864585e-05,
640
+ "loss": 0.0097,
641
+ "step": 890
642
+ },
643
+ {
644
+ "epoch": 0.3435114503816794,
645
+ "grad_norm": 0.1803872287273407,
646
+ "learning_rate": 3.321944015018522e-05,
647
+ "loss": 0.0074,
648
+ "step": 900
649
+ },
650
+ {
651
+ "epoch": 0.3473282442748092,
652
+ "grad_norm": 0.019201336428523064,
653
+ "learning_rate": 3.3018316561319667e-05,
654
+ "loss": 0.0195,
655
+ "step": 910
656
+ },
657
+ {
658
+ "epoch": 0.3511450381679389,
659
+ "grad_norm": 0.38370391726493835,
660
+ "learning_rate": 3.281488218209141e-05,
661
+ "loss": 0.0081,
662
+ "step": 920
663
+ },
664
+ {
665
+ "epoch": 0.3549618320610687,
666
+ "grad_norm": 1.1995326280593872,
667
+ "learning_rate": 3.260917312271491e-05,
668
+ "loss": 0.0181,
669
+ "step": 930
670
+ },
671
+ {
672
+ "epoch": 0.35877862595419846,
673
+ "grad_norm": 0.1598449945449829,
674
+ "learning_rate": 3.2401225897167193e-05,
675
+ "loss": 0.0127,
676
+ "step": 940
677
+ },
678
+ {
679
+ "epoch": 0.36259541984732824,
680
+ "grad_norm": 0.15862394869327545,
681
+ "learning_rate": 3.219107741670653e-05,
682
+ "loss": 0.0096,
683
+ "step": 950
684
+ },
685
+ {
686
+ "epoch": 0.366412213740458,
687
+ "grad_norm": 0.02166523039340973,
688
+ "learning_rate": 3.1978764983320556e-05,
689
+ "loss": 0.0135,
690
+ "step": 960
691
+ },
692
+ {
693
+ "epoch": 0.3702290076335878,
694
+ "grad_norm": 0.05919814854860306,
695
+ "learning_rate": 3.176432628310506e-05,
696
+ "loss": 0.0087,
697
+ "step": 970
698
+ },
699
+ {
700
+ "epoch": 0.37404580152671757,
701
+ "grad_norm": 0.11933150142431259,
702
+ "learning_rate": 3.1547799379574593e-05,
703
+ "loss": 0.0048,
704
+ "step": 980
705
+ },
706
+ {
707
+ "epoch": 0.37786259541984735,
708
+ "grad_norm": 0.044685620814561844,
709
+ "learning_rate": 3.132922270690607e-05,
710
+ "loss": 0.0121,
711
+ "step": 990
712
+ },
713
+ {
714
+ "epoch": 0.3816793893129771,
715
+ "grad_norm": 0.5684109330177307,
716
+ "learning_rate": 3.1108635063116604e-05,
717
+ "loss": 0.0107,
718
+ "step": 1000
719
+ },
720
+ {
721
+ "epoch": 0.3816793893129771,
722
+ "eval_loss": 0.03127766400575638,
723
+ "eval_runtime": 140.1532,
724
+ "eval_samples_per_second": 56.952,
725
+ "eval_steps_per_second": 0.3,
726
+ "step": 1000
727
+ }
728
+ ],
729
+ "logging_steps": 10,
730
+ "max_steps": 2620,
731
+ "num_input_tokens_seen": 0,
732
+ "num_train_epochs": 1,
733
+ "save_steps": 500,
734
+ "stateful_callbacks": {
735
+ "TrainerControl": {
736
+ "args": {
737
+ "should_epoch_stop": false,
738
+ "should_evaluate": false,
739
+ "should_log": false,
740
+ "should_save": true,
741
+ "should_training_stop": false
742
+ },
743
+ "attributes": {}
744
+ }
745
+ },
746
+ "total_flos": 9.056287130325811e+17,
747
+ "train_batch_size": 192,
748
+ "trial_name": null,
749
+ "trial_params": null
750
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0182cf2496f9c61bac2077171921d99855cf59d472e5e4213df32617a75ec640
3
+ size 5905