Unggi commited on
Commit
c23a7d2
·
verified ·
1 Parent(s): 16e6f7b

backup e15/F2-flat (Pod B)

Browse files
e15/F2-flat/ckpt-16000/adapter/README.md ADDED
@@ -0,0 +1,206 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: /workspace/jev_kt/models/hf/JEV-9B
3
+ library_name: peft
4
+ tags:
5
+ - base_model:adapter:/workspace/jev_kt/models/hf/JEV-9B
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 0.21.2
e15/F2-flat/ckpt-16000/adapter/adapter_config.json ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alora_invocation_tokens": null,
3
+ "alpha_pattern": {},
4
+ "arrow_config": null,
5
+ "auto_mapping": {
6
+ "base_model_class": "Qwen3_5ForCausalLM",
7
+ "parent_library": "transformers.models.qwen3_5.modeling_qwen3_5"
8
+ },
9
+ "base_model_name_or_path": "/workspace/jev_kt/models/hf/JEV-9B",
10
+ "bias": "none",
11
+ "corda_config": null,
12
+ "ensure_weight_tying": false,
13
+ "eva_config": null,
14
+ "exclude_modules": null,
15
+ "fan_in_fan_out": false,
16
+ "inference_mode": true,
17
+ "init_lora_weights": true,
18
+ "kasa_config": null,
19
+ "layer_replication": null,
20
+ "layers_pattern": null,
21
+ "layers_to_transform": null,
22
+ "loftq_config": {},
23
+ "lora_alpha": 32,
24
+ "lora_bias": false,
25
+ "lora_dropout": 0.05,
26
+ "lora_ga_config": null,
27
+ "megatron_config": null,
28
+ "megatron_core": "megatron.core",
29
+ "modules_to_save": null,
30
+ "monteclora_config": null,
31
+ "peft_type": "LORA",
32
+ "peft_version": "0.21.0",
33
+ "qalora_group_size": 16,
34
+ "r": 16,
35
+ "rank_pattern": {},
36
+ "revision": null,
37
+ "target_modules": [
38
+ "k_proj",
39
+ "v_proj",
40
+ "q_proj",
41
+ "out_proj",
42
+ "o_proj",
43
+ "up_proj",
44
+ "in_proj_z",
45
+ "in_proj_qkv",
46
+ "gate_proj",
47
+ "down_proj"
48
+ ],
49
+ "target_parameters": null,
50
+ "task_type": null,
51
+ "trainable_token_indices": null,
52
+ "use_bdlora": null,
53
+ "use_dora": false,
54
+ "use_qalora": false,
55
+ "use_rslora": false,
56
+ "velora_config": null
57
+ }
e15/F2-flat/ckpt-16000/adapter/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6318ff59528ffa5f7056555936e7b666f777cf76f563a0a2f6ffceee004b2ac0
3
+ size 160486456
e15/F2-flat/ckpt-16000/adapter_vllm/adapter_config.json ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alora_invocation_tokens": null,
3
+ "alpha_pattern": {},
4
+ "arrow_config": null,
5
+ "auto_mapping": {
6
+ "base_model_class": "Qwen3_5ForCausalLM",
7
+ "parent_library": "transformers.models.qwen3_5.modeling_qwen3_5"
8
+ },
9
+ "base_model_name_or_path": null,
10
+ "bias": "none",
11
+ "corda_config": null,
12
+ "ensure_weight_tying": false,
13
+ "eva_config": null,
14
+ "exclude_modules": null,
15
+ "fan_in_fan_out": false,
16
+ "inference_mode": true,
17
+ "init_lora_weights": true,
18
+ "kasa_config": null,
19
+ "layer_replication": null,
20
+ "layers_pattern": null,
21
+ "layers_to_transform": null,
22
+ "loftq_config": {},
23
+ "lora_alpha": 64.0,
24
+ "lora_bias": false,
25
+ "lora_dropout": 0.0,
26
+ "lora_ga_config": null,
27
+ "megatron_config": null,
28
+ "megatron_core": "megatron.core",
29
+ "modules_to_save": null,
30
+ "monteclora_config": null,
31
+ "peft_type": "LORA",
32
+ "peft_version": "0.21.0",
33
+ "qalora_group_size": 16,
34
+ "r": 32,
35
+ "rank_pattern": {},
36
+ "revision": null,
37
+ "target_modules": [
38
+ "down_proj",
39
+ "gate_proj",
40
+ "in_proj_qkv",
41
+ "in_proj_z",
42
+ "k_proj",
43
+ "lm_head",
44
+ "o_proj",
45
+ "out_proj",
46
+ "q_proj",
47
+ "up_proj",
48
+ "v_proj"
49
+ ],
50
+ "target_parameters": null,
51
+ "task_type": null,
52
+ "trainable_token_indices": null,
53
+ "use_bdlora": null,
54
+ "use_dora": false,
55
+ "use_qalora": false,
56
+ "use_rslora": false,
57
+ "velora_config": null
58
+ }
e15/F2-flat/ckpt-16000/adapter_vllm/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6d3391a102da58f1f174ca0d774aa8a90ab2b5f5ad0fd310110cc2a8cce2cd7a
3
+ size 176641832
e15/F2-flat/ckpt-16000/adapter_vllm/decision_head.json ADDED
@@ -0,0 +1,99 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bias": [
3
+ -1.3276878689794103e-06,
4
+ 1.0677076716092415e-06,
5
+ -0.0025878134183585644,
6
+ -0.0012615364976227283,
7
+ -0.00025007399381138384,
8
+ 0.0019558551721274853,
9
+ 0.0013559526996687055,
10
+ -0.0023348911199718714,
11
+ -0.0004082925443071872,
12
+ -0.0002078723773593083,
13
+ -1.2957353646925185e-05,
14
+ 0.0001676026004133746,
15
+ 0.0005569425993598998,
16
+ -0.001412136247381568,
17
+ -0.0028663526754826307,
18
+ -0.005061559844762087,
19
+ -0.00593328895047307,
20
+ -0.004319756291806698,
21
+ -0.004922541789710522,
22
+ -0.0049067651852965355,
23
+ -0.003943523392081261,
24
+ -0.003319827374070883,
25
+ -0.005581587553024292,
26
+ -0.0034480984322726727
27
+ ],
28
+ "verbalizer_ids": [
29
+ 3721,
30
+ 1802,
31
+ 15,
32
+ 16,
33
+ 17,
34
+ 18,
35
+ 19,
36
+ 20,
37
+ 32,
38
+ 33,
39
+ 34,
40
+ 35,
41
+ 36,
42
+ 37,
43
+ 38,
44
+ 39,
45
+ 40,
46
+ 41,
47
+ 42,
48
+ 43,
49
+ 44,
50
+ 45,
51
+ 46,
52
+ 47
53
+ ],
54
+ "slots": {
55
+ "num_slots": 24,
56
+ "ranges": {
57
+ "noul": [
58
+ 0,
59
+ 2
60
+ ],
61
+ "score": [
62
+ 2,
63
+ 8
64
+ ],
65
+ "choice": [
66
+ 8,
67
+ 24
68
+ ]
69
+ },
70
+ "verbalizers": [
71
+ "false",
72
+ "true",
73
+ "0",
74
+ "1",
75
+ "2",
76
+ "3",
77
+ "4",
78
+ "5",
79
+ "A",
80
+ "B",
81
+ "C",
82
+ "D",
83
+ "E",
84
+ "F",
85
+ "G",
86
+ "H",
87
+ "I",
88
+ "J",
89
+ "K",
90
+ "L",
91
+ "M",
92
+ "N",
93
+ "O",
94
+ "P"
95
+ ],
96
+ "template_version": "bare-v1"
97
+ },
98
+ "note": "decision logits = lm_head-LoRA logprobs of verbalizer ids + bias, then per-kind temperature"
99
+ }
e15/F2-flat/ckpt-16000/calibration.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "version": 1,
3
+ "per_kind": {
4
+ "noul": 0.9700531604546118,
5
+ "choice": 1.0,
6
+ "score": 1.0
7
+ },
8
+ "fit": {
9
+ "noul": {
10
+ "n": 2000,
11
+ "T": 0.9700531604546118,
12
+ "ce_before": 0.5749193429946899,
13
+ "ce_after": 0.5748505592346191
14
+ }
15
+ },
16
+ "source": "models/e15/F2-flat/ckpt-16000"
17
+ }
e15/F2-flat/ckpt-16000/head.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7e8e31f90956bd034fe5751421865a7e87fdd68ee01b376c7cc1b462a953342f
3
+ size 393464
e15/F2-flat/ckpt-16000/judge_config.json ADDED
@@ -0,0 +1,146 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "base_model_path": "/root/models/Qwen3.5-9B",
3
+ "hidden_size": 4096,
4
+ "slots": {
5
+ "num_slots": 24,
6
+ "ranges": {
7
+ "noul": [
8
+ 0,
9
+ 2
10
+ ],
11
+ "score": [
12
+ 2,
13
+ 8
14
+ ],
15
+ "choice": [
16
+ 8,
17
+ 24
18
+ ]
19
+ },
20
+ "verbalizers": [
21
+ "false",
22
+ "true",
23
+ "0",
24
+ "1",
25
+ "2",
26
+ "3",
27
+ "4",
28
+ "5",
29
+ "A",
30
+ "B",
31
+ "C",
32
+ "D",
33
+ "E",
34
+ "F",
35
+ "G",
36
+ "H",
37
+ "I",
38
+ "J",
39
+ "K",
40
+ "L",
41
+ "M",
42
+ "N",
43
+ "O",
44
+ "P"
45
+ ],
46
+ "template_version": "bare-v1"
47
+ },
48
+ "verbalizer_ids": [
49
+ 3721,
50
+ 1802,
51
+ 15,
52
+ 16,
53
+ 17,
54
+ 18,
55
+ 19,
56
+ 20,
57
+ 32,
58
+ 33,
59
+ 34,
60
+ 35,
61
+ 36,
62
+ 37,
63
+ 38,
64
+ 39,
65
+ 40,
66
+ 41,
67
+ 42,
68
+ 43,
69
+ 44,
70
+ 45,
71
+ 46,
72
+ 47
73
+ ],
74
+ "kinds": [
75
+ "noul",
76
+ "choice",
77
+ "score"
78
+ ],
79
+ "model_name": "jev-judge-qwen35-9b",
80
+ "model_version": "0.8.0",
81
+ "lm_head_included": true,
82
+ "weights_mode": "unmerged",
83
+ "adapter_subfolder": "adapter",
84
+ "lora": {
85
+ "r": 16,
86
+ "lora_alpha": 32,
87
+ "lora_dropout": 0.05,
88
+ "target_modules": [
89
+ "down_proj",
90
+ "gate_proj",
91
+ "in_proj_qkv",
92
+ "in_proj_z",
93
+ "k_proj",
94
+ "o_proj",
95
+ "out_proj",
96
+ "q_proj",
97
+ "up_proj",
98
+ "v_proj"
99
+ ]
100
+ },
101
+ "trained_stage": "e15",
102
+ "source_checkpoint": "models/e15/F2-flat/ckpt-16000",
103
+ "softcap": null,
104
+ "e15": {
105
+ "data": "data/e15/F2-flat",
106
+ "data_manifest": {
107
+ "arm": "F2-syn",
108
+ "name": "F2-flat",
109
+ "train_sha256": "8a83ea2a6e0b568083c143a44d7ecb6c884d3420b983978547b9d75720048850",
110
+ "n_train": 64000
111
+ },
112
+ "init": "released",
113
+ "lr": 0.0001,
114
+ "lr_head": 0.0002,
115
+ "rows_per_step": 32,
116
+ "skip_rows": 0,
117
+ "epochs": 1,
118
+ "max_len": 3072,
119
+ "schedule": "warmup 0.03 + cosine to x0.05 over 500 steps",
120
+ "total_rows": 16000,
121
+ "lora": {
122
+ "r": 16,
123
+ "lora_alpha": 32,
124
+ "lora_dropout": 0.05
125
+ },
126
+ "event": "ckpt",
127
+ "tag": "ckpt-16000",
128
+ "rows_seen": 16000,
129
+ "step": 500,
130
+ "tokens": 8949001,
131
+ "tok_per_s": 831.5855086824548,
132
+ "val": {
133
+ "n": 2000,
134
+ "dropped_long": 0,
135
+ "noul_ce": 0.5749193429946899,
136
+ "kt_auc": 0.7322716618157148,
137
+ "kt_acc": 0.683,
138
+ "kt_f1": 0.7794015309672929,
139
+ "kt_ece": 0.028756603643298143,
140
+ "kt_nll": 0.5789322479655966,
141
+ "kt_oracle_auc": 0.8438755004041573
142
+ },
143
+ "dropped_long": 0,
144
+ "peak_gib": 18.237350940704346
145
+ }
146
+ }
e15/F2-flat/train_log.jsonl ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"time": "00:48:41", "event": "start", "model_dir": "/workspace/jev_kt/models/hf/JEV-9B", "init": "released", "device": "cuda", "load_s": 16.315336227416992, "trainable_lora": 40108032, "head": 98328}
2
+ {"time": "00:48:41", "event": "run", "data": "data/e15/F2-flat", "out": "models/e15/F2-flat"}
3
+ {"time": "00:52:10", "event": "step", "step": 10, "rows_seen": 320, "loss": 0.5877577364444733, "lr": 7.333333333333333e-05, "tok_per_s": 855.269736009609}
4
+ {"time": "00:55:48", "event": "step", "step": 20, "rows_seen": 640, "loss": 0.5159218572080135, "lr": 9.997508952966197e-05, "tok_per_s": 860.6195371591518}
5
+ {"time": "00:59:26", "event": "step", "step": 30, "rows_seen": 960, "loss": 0.5548015087842941, "lr": 9.977596250541417e-05, "tok_per_s": 860.0880892463634}
6
+ {"time": "01:02:54", "event": "step", "step": 40, "rows_seen": 1280, "loss": 0.6564795449376106, "lr": 9.937854366485982e-05, "tok_per_s": 859.3455216368919}
7
+ {"time": "01:06:13", "event": "step", "step": 50, "rows_seen": 1600, "loss": 0.6747086718678474, "lr": 9.8784499920729e-05, "tok_per_s": 856.4053870753925}
8
+ {"time": "01:09:44", "event": "step", "step": 60, "rows_seen": 1920, "loss": 0.6810289993882179, "lr": 9.79963228989294e-05, "tok_per_s": 856.2979342247033}
9
+ {"time": "01:13:08", "event": "step", "step": 70, "rows_seen": 2240, "loss": 0.5894858688116074, "lr": 9.701731848780134e-05, "tok_per_s": 857.015999149776}
10
+ {"time": "01:16:36", "event": "step", "step": 80, "rows_seen": 2560, "loss": 0.5952880403201561, "lr": 9.585159297207315e-05, "tok_per_s": 857.0084571162397}
11
+ {"time": "01:20:10", "event": "step", "step": 90, "rows_seen": 2880, "loss": 0.5643837284296751, "lr": 9.450403580967612e-05, "tok_per_s": 857.0173718708572}
12
+ {"time": "01:23:28", "event": "step", "step": 100, "rows_seen": 3200, "loss": 0.6277467955369502, "lr": 9.298029912365855e-05, "tok_per_s": 856.8428464814812}
13
+ {"time": "01:26:56", "event": "step", "step": 110, "rows_seen": 3520, "loss": 0.5750151183456182, "lr": 9.128677399521752e-05, "tok_per_s": 857.3361248705531}
14
+ {"time": "01:30:32", "event": "step", "step": 120, "rows_seen": 3840, "loss": 0.6017883345484734, "lr": 8.943056365728335e-05, "tok_per_s": 857.6636177481919}
15
+ {"time": "01:34:02", "event": "step", "step": 130, "rows_seen": 4160, "loss": 0.5900653211865574, "lr": 8.741945370109202e-05, "tok_per_s": 857.7246233320602}
16
+ {"time": "01:37:25", "event": "step", "step": 140, "rows_seen": 4480, "loss": 0.5779878199100494, "lr": 8.526187942070997e-05, "tok_per_s": 857.9303305246107}
17
+ {"time": "01:40:43", "event": "step", "step": 150, "rows_seen": 4800, "loss": 0.617425411939621, "lr": 8.296689043247915e-05, "tok_per_s": 857.4952305884332}
18
+ {"time": "01:44:10", "event": "step", "step": 160, "rows_seen": 5120, "loss": 0.574973352253437, "lr": 8.054411271778132e-05, "tok_per_s": 857.8773445114482}
19
+ {"time": "01:47:36", "event": "step", "step": 170, "rows_seen": 5440, "loss": 0.5947388916974887, "lr": 7.800370824832674e-05, "tok_per_s": 858.5796525534176}
20
+ {"time": "01:51:04", "event": "step", "step": 180, "rows_seen": 5760, "loss": 0.6738452576100826, "lr": 7.535633236331324e-05, "tok_per_s": 858.7211851835583}
21
+ {"time": "01:54:38", "event": "step", "step": 190, "rows_seen": 6080, "loss": 0.5923438420286402, "lr": 7.26130890772308e-05, "tok_per_s": 858.5756695383079}
22
+ {"time": "01:58:04", "event": "step", "step": 200, "rows_seen": 6400, "loss": 0.6847539413720369, "lr": 6.978548450576568e-05, "tok_per_s": 858.6234518535314}
23
+ {"time": "02:01:44", "event": "step", "step": 210, "rows_seen": 6720, "loss": 0.6117992252111435, "lr": 6.688537860515266e-05, "tok_per_s": 859.1653949750619}
24
+ {"time": "02:05:10", "event": "step", "step": 220, "rows_seen": 7040, "loss": 0.6177883632481098, "lr": 6.392493542739706e-05, "tok_per_s": 859.2334070048599}
25
+ {"time": "02:08:33", "event": "step", "step": 230, "rows_seen": 7360, "loss": 0.5483945179730654, "lr": 6.091657210001309e-05, "tok_per_s": 859.0674583665049}
26
+ {"time": "02:12:03", "event": "step", "step": 240, "rows_seen": 7680, "loss": 0.622557744383812, "lr": 5.7872906744276015e-05, "tok_per_s": 859.0403296018193}
27
+ {"time": "02:15:33", "event": "step", "step": 250, "rows_seen": 8000, "loss": 0.6177436839789152, "lr": 5.48067055504363e-05, "tok_per_s": 858.9538478092975}
28
+ {"time": "02:19:02", "event": "step", "step": 260, "rows_seen": 8320, "loss": 0.6167473718523979, "lr": 5.173082923188119e-05, "tok_per_s": 858.6538598740115}
29
+ {"time": "02:22:32", "event": "step", "step": 270, "rows_seen": 8640, "loss": 0.5980293247848749, "lr": 4.865817908283331e-05, "tok_per_s": 858.8084109697298}
30
+ {"time": "02:26:01", "event": "step", "step": 280, "rows_seen": 8960, "loss": 0.5527693126350641, "lr": 4.560164286583922e-05, "tok_per_s": 858.8686163976956}
31
+ {"time": "02:29:33", "event": "step", "step": 290, "rows_seen": 9280, "loss": 0.5814823284745216, "lr": 4.257404075601443e-05, "tok_per_s": 858.8384409865034}
32
+ {"time": "02:33:01", "event": "step", "step": 300, "rows_seen": 9600, "loss": 0.5551043748855591, "lr": 3.958807156877371e-05, "tok_per_s": 859.1150473597955}
33
+ {"time": "02:36:31", "event": "step", "step": 310, "rows_seen": 9920, "loss": 0.697040218859911, "lr": 3.665625949658603e-05, "tok_per_s": 859.2355658129776}
34
+ {"time": "02:39:57", "event": "step", "step": 320, "rows_seen": 10240, "loss": 0.6119494661688805, "lr": 3.379090157815887e-05, "tok_per_s": 859.1054135607782}
35
+ {"time": "02:43:25", "event": "step", "step": 330, "rows_seen": 10560, "loss": 0.5685181058943272, "lr": 3.10040161203844e-05, "tok_per_s": 859.3126049036471}
36
+ {"time": "02:46:56", "event": "step", "step": 340, "rows_seen": 10880, "loss": 0.515652634203434, "lr": 2.8307292289383776e-05, "tok_per_s": 859.6799112780791}
37
+ {"time": "02:50:30", "event": "step", "step": 350, "rows_seen": 11200, "loss": 0.6127974279224873, "lr": 2.571204108208194e-05, "tok_per_s": 859.5528392833678}
38
+ {"time": "02:53:51", "event": "step", "step": 360, "rows_seen": 11520, "loss": 0.5996843129396439, "lr": 2.322914788395595e-05, "tok_per_s": 859.2857752821442}
39
+ {"time": "02:57:14", "event": "step", "step": 370, "rows_seen": 11840, "loss": 0.6045315861701965, "lr": 2.0869026811945157e-05, "tok_per_s": 859.3916305526038}
40
+ {"time": "03:00:48", "event": "step", "step": 380, "rows_seen": 12160, "loss": 0.6152966935187578, "lr": 1.8641577034025627e-05, "tok_per_s": 859.5163451459412}
41
+ {"time": "03:04:23", "event": "step", "step": 390, "rows_seen": 12480, "loss": 0.5862786285579205, "lr": 1.6556141248659472e-05, "tok_per_s": 859.431447094405}
42
+ {"time": "03:07:49", "event": "step", "step": 400, "rows_seen": 12800, "loss": 0.5740232467651367, "lr": 1.4621466498270773e-05, "tok_per_s": 859.4251833703263}
43
+ {"time": "03:11:20", "event": "step", "step": 410, "rows_seen": 13120, "loss": 0.5301701948046684, "lr": 1.284566748110963e-05, "tok_per_s": 859.393217107875}
44
+ {"time": "03:14:50", "event": "step", "step": 420, "rows_seen": 13440, "loss": 0.5579833164811134, "lr": 1.1236192515387821e-05, "tok_per_s": 859.4076421950874}
45
+ {"time": "03:18:15", "event": "step", "step": 430, "rows_seen": 13760, "loss": 0.6065985504537821, "lr": 9.799792298443728e-06, "tok_per_s": 859.3246262922454}
46
+ {"time": "03:21:43", "event": "step", "step": 440, "rows_seen": 14080, "loss": 0.6180005762726068, "lr": 8.542491591971554e-06, "tok_per_s": 859.356448017933}
47
+ {"time": "03:25:21", "event": "step", "step": 450, "rows_seen": 14400, "loss": 0.6323784813284874, "lr": 7.469563952077155e-06, "tok_per_s": 859.6901316662784}
48
+ {"time": "03:28:43", "event": "step", "step": 460, "rows_seen": 14720, "loss": 0.5437658387236297, "lr": 6.585509610150972e-06, "tok_per_s": 859.6373317863864}
49
+ {"time": "03:32:00", "event": "step", "step": 470, "rows_seen": 15040, "loss": 0.6128616854548454, "lr": 5.894036597333646e-06, "tok_per_s": 859.6926623129617}
50
+ {"time": "03:35:24", "event": "step", "step": 480, "rows_seen": 15360, "loss": 0.5803278815001249, "lr": 5.398045191744809e-06, "tok_per_s": 859.8447485778026}
51
+ {"time": "03:38:42", "event": "step", "step": 490, "rows_seen": 15680, "loss": 0.6114999353885651, "lr": 5.099615753708697e-06, "tok_per_s": 859.8744933018467}
52
+ {"time": "03:42:08", "event": "step", "step": 500, "rows_seen": 16000, "loss": 0.6015214323997498, "lr": 5e-06, "tok_per_s": 859.8938391996276}
53
+ {"time": "03:48:04", "event": "ckpt", "tag": "ckpt-16000", "rows_seen": 16000, "step": 500, "tokens": 8949001, "tok_per_s": 831.5855086824548, "val": {"n": 2000, "dropped_long": 0, "noul_ce": 0.5749193429946899, "kt_auc": 0.7322716618157148, "kt_acc": 0.683, "kt_f1": 0.7794015309672929, "kt_ece": 0.028756603643298143, "kt_nll": 0.5789322479655966, "kt_oracle_auc": 0.8438755004041573}, "dropped_long": 0, "peak_gib": 18.237350940704346}