Farouk commited on
Commit ·
764de28
1
Parent(s): d514b75
Training in progress, step 600
Browse files- adapter_model.bin +1 -1
- checkpoint-400/adapter_model/adapter_model/README.md +12 -0
- checkpoint-400/adapter_model/adapter_model/adapter_config.json +2 -2
- checkpoint-400/adapter_model/adapter_model/adapter_model.bin +1 -1
- checkpoint-600/README.md +12 -0
- checkpoint-600/adapter_config.json +2 -2
- checkpoint-600/adapter_model.bin +1 -1
- checkpoint-600/optimizer.pt +1 -1
- checkpoint-600/rng_state.pth +1 -1
- checkpoint-600/trainer_state.json +122 -122
- checkpoint-600/training_args.bin +1 -1
adapter_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 319977229
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:87e35760c42d1bfb78cc7cbb436d0dffc88099c25f94127950ac13422c96849d
|
| 3 |
size 319977229
|
checkpoint-400/adapter_model/adapter_model/README.md
CHANGED
|
@@ -4,6 +4,17 @@ library_name: peft
|
|
| 4 |
## Training procedure
|
| 5 |
|
| 6 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 7 |
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
- load_in_8bit: False
|
| 9 |
- load_in_4bit: True
|
|
@@ -16,5 +27,6 @@ The following `bitsandbytes` quantization config was used during training:
|
|
| 16 |
- bnb_4bit_compute_dtype: bfloat16
|
| 17 |
### Framework versions
|
| 18 |
|
|
|
|
| 19 |
|
| 20 |
- PEFT 0.4.0
|
|
|
|
| 4 |
## Training procedure
|
| 5 |
|
| 6 |
|
| 7 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
+
- load_in_8bit: False
|
| 9 |
+
- load_in_4bit: True
|
| 10 |
+
- llm_int8_threshold: 6.0
|
| 11 |
+
- llm_int8_skip_modules: None
|
| 12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 13 |
+
- llm_int8_has_fp16_weight: False
|
| 14 |
+
- bnb_4bit_quant_type: nf4
|
| 15 |
+
- bnb_4bit_use_double_quant: True
|
| 16 |
+
- bnb_4bit_compute_dtype: bfloat16
|
| 17 |
+
|
| 18 |
The following `bitsandbytes` quantization config was used during training:
|
| 19 |
- load_in_8bit: False
|
| 20 |
- load_in_4bit: True
|
|
|
|
| 27 |
- bnb_4bit_compute_dtype: bfloat16
|
| 28 |
### Framework versions
|
| 29 |
|
| 30 |
+
- PEFT 0.4.0
|
| 31 |
|
| 32 |
- PEFT 0.4.0
|
checkpoint-400/adapter_model/adapter_model/adapter_config.json
CHANGED
|
@@ -15,11 +15,11 @@
|
|
| 15 |
"revision": null,
|
| 16 |
"target_modules": [
|
| 17 |
"up_proj",
|
| 18 |
-
"down_proj",
|
| 19 |
-
"k_proj",
|
| 20 |
"q_proj",
|
|
|
|
| 21 |
"gate_proj",
|
| 22 |
"v_proj",
|
|
|
|
| 23 |
"o_proj"
|
| 24 |
],
|
| 25 |
"task_type": "CAUSAL_LM"
|
|
|
|
| 15 |
"revision": null,
|
| 16 |
"target_modules": [
|
| 17 |
"up_proj",
|
|
|
|
|
|
|
| 18 |
"q_proj",
|
| 19 |
+
"k_proj",
|
| 20 |
"gate_proj",
|
| 21 |
"v_proj",
|
| 22 |
+
"down_proj",
|
| 23 |
"o_proj"
|
| 24 |
],
|
| 25 |
"task_type": "CAUSAL_LM"
|
checkpoint-400/adapter_model/adapter_model/adapter_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 319977229
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:72d4d013e57515ff7938e3d88a61add2c0ad78f8e0893368e575e639de61bc0a
|
| 3 |
size 319977229
|
checkpoint-600/README.md
CHANGED
|
@@ -4,6 +4,17 @@ library_name: peft
|
|
| 4 |
## Training procedure
|
| 5 |
|
| 6 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 7 |
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
- load_in_8bit: False
|
| 9 |
- load_in_4bit: True
|
|
@@ -16,5 +27,6 @@ The following `bitsandbytes` quantization config was used during training:
|
|
| 16 |
- bnb_4bit_compute_dtype: bfloat16
|
| 17 |
### Framework versions
|
| 18 |
|
|
|
|
| 19 |
|
| 20 |
- PEFT 0.4.0
|
|
|
|
| 4 |
## Training procedure
|
| 5 |
|
| 6 |
|
| 7 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
+
- load_in_8bit: False
|
| 9 |
+
- load_in_4bit: True
|
| 10 |
+
- llm_int8_threshold: 6.0
|
| 11 |
+
- llm_int8_skip_modules: None
|
| 12 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 13 |
+
- llm_int8_has_fp16_weight: False
|
| 14 |
+
- bnb_4bit_quant_type: nf4
|
| 15 |
+
- bnb_4bit_use_double_quant: True
|
| 16 |
+
- bnb_4bit_compute_dtype: bfloat16
|
| 17 |
+
|
| 18 |
The following `bitsandbytes` quantization config was used during training:
|
| 19 |
- load_in_8bit: False
|
| 20 |
- load_in_4bit: True
|
|
|
|
| 27 |
- bnb_4bit_compute_dtype: bfloat16
|
| 28 |
### Framework versions
|
| 29 |
|
| 30 |
+
- PEFT 0.4.0
|
| 31 |
|
| 32 |
- PEFT 0.4.0
|
checkpoint-600/adapter_config.json
CHANGED
|
@@ -15,11 +15,11 @@
|
|
| 15 |
"revision": null,
|
| 16 |
"target_modules": [
|
| 17 |
"up_proj",
|
| 18 |
-
"down_proj",
|
| 19 |
-
"k_proj",
|
| 20 |
"q_proj",
|
|
|
|
| 21 |
"gate_proj",
|
| 22 |
"v_proj",
|
|
|
|
| 23 |
"o_proj"
|
| 24 |
],
|
| 25 |
"task_type": "CAUSAL_LM"
|
|
|
|
| 15 |
"revision": null,
|
| 16 |
"target_modules": [
|
| 17 |
"up_proj",
|
|
|
|
|
|
|
| 18 |
"q_proj",
|
| 19 |
+
"k_proj",
|
| 20 |
"gate_proj",
|
| 21 |
"v_proj",
|
| 22 |
+
"down_proj",
|
| 23 |
"o_proj"
|
| 24 |
],
|
| 25 |
"task_type": "CAUSAL_LM"
|
checkpoint-600/adapter_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 319977229
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:87e35760c42d1bfb78cc7cbb436d0dffc88099c25f94127950ac13422c96849d
|
| 3 |
size 319977229
|
checkpoint-600/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1279539973
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f293df219790b411d18d91c38d12c809d506260cbda845f084b1acd2c641a8a6
|
| 3 |
size 1279539973
|
checkpoint-600/rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14511
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:87c1a0f1939996874afd271d65a6e3800bf447b3890617c41e4b831b281e9bda
|
| 3 |
size 14511
|
checkpoint-600/trainer_state.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 0.
|
| 3 |
"best_model_checkpoint": "experts/expert-11/checkpoint-600",
|
| 4 |
"epoch": 0.22598870056497175,
|
| 5 |
"global_step": 600,
|
|
@@ -16,109 +16,109 @@
|
|
| 16 |
{
|
| 17 |
"epoch": 0.01,
|
| 18 |
"learning_rate": 0.0002,
|
| 19 |
-
"loss": 0.
|
| 20 |
"step": 20
|
| 21 |
},
|
| 22 |
{
|
| 23 |
"epoch": 0.01,
|
| 24 |
"learning_rate": 0.0002,
|
| 25 |
-
"loss": 0.
|
| 26 |
"step": 30
|
| 27 |
},
|
| 28 |
{
|
| 29 |
"epoch": 0.02,
|
| 30 |
"learning_rate": 0.0002,
|
| 31 |
-
"loss": 0.
|
| 32 |
"step": 40
|
| 33 |
},
|
| 34 |
{
|
| 35 |
"epoch": 0.02,
|
| 36 |
"learning_rate": 0.0002,
|
| 37 |
-
"loss": 0.
|
| 38 |
"step": 50
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 0.02,
|
| 42 |
"learning_rate": 0.0002,
|
| 43 |
-
"loss": 0.
|
| 44 |
"step": 60
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 0.03,
|
| 48 |
"learning_rate": 0.0002,
|
| 49 |
-
"loss": 0.
|
| 50 |
"step": 70
|
| 51 |
},
|
| 52 |
{
|
| 53 |
"epoch": 0.03,
|
| 54 |
"learning_rate": 0.0002,
|
| 55 |
-
"loss": 0.
|
| 56 |
"step": 80
|
| 57 |
},
|
| 58 |
{
|
| 59 |
"epoch": 0.03,
|
| 60 |
"learning_rate": 0.0002,
|
| 61 |
-
"loss": 0.
|
| 62 |
"step": 90
|
| 63 |
},
|
| 64 |
{
|
| 65 |
"epoch": 0.04,
|
| 66 |
"learning_rate": 0.0002,
|
| 67 |
-
"loss": 0.
|
| 68 |
"step": 100
|
| 69 |
},
|
| 70 |
{
|
| 71 |
"epoch": 0.04,
|
| 72 |
"learning_rate": 0.0002,
|
| 73 |
-
"loss": 0.
|
| 74 |
"step": 110
|
| 75 |
},
|
| 76 |
{
|
| 77 |
"epoch": 0.05,
|
| 78 |
"learning_rate": 0.0002,
|
| 79 |
-
"loss": 0.
|
| 80 |
"step": 120
|
| 81 |
},
|
| 82 |
{
|
| 83 |
"epoch": 0.05,
|
| 84 |
"learning_rate": 0.0002,
|
| 85 |
-
"loss": 0.
|
| 86 |
"step": 130
|
| 87 |
},
|
| 88 |
{
|
| 89 |
"epoch": 0.05,
|
| 90 |
"learning_rate": 0.0002,
|
| 91 |
-
"loss": 0.
|
| 92 |
"step": 140
|
| 93 |
},
|
| 94 |
{
|
| 95 |
"epoch": 0.06,
|
| 96 |
"learning_rate": 0.0002,
|
| 97 |
-
"loss": 0.
|
| 98 |
"step": 150
|
| 99 |
},
|
| 100 |
{
|
| 101 |
"epoch": 0.06,
|
| 102 |
"learning_rate": 0.0002,
|
| 103 |
-
"loss": 0.
|
| 104 |
"step": 160
|
| 105 |
},
|
| 106 |
{
|
| 107 |
"epoch": 0.06,
|
| 108 |
"learning_rate": 0.0002,
|
| 109 |
-
"loss": 0.
|
| 110 |
"step": 170
|
| 111 |
},
|
| 112 |
{
|
| 113 |
"epoch": 0.07,
|
| 114 |
"learning_rate": 0.0002,
|
| 115 |
-
"loss": 0.
|
| 116 |
"step": 180
|
| 117 |
},
|
| 118 |
{
|
| 119 |
"epoch": 0.07,
|
| 120 |
"learning_rate": 0.0002,
|
| 121 |
-
"loss": 0.
|
| 122 |
"step": 190
|
| 123 |
},
|
| 124 |
{
|
|
@@ -129,15 +129,15 @@
|
|
| 129 |
},
|
| 130 |
{
|
| 131 |
"epoch": 0.08,
|
| 132 |
-
"eval_loss": 0.
|
| 133 |
-
"eval_runtime":
|
| 134 |
-
"eval_samples_per_second":
|
| 135 |
-
"eval_steps_per_second":
|
| 136 |
"step": 200
|
| 137 |
},
|
| 138 |
{
|
| 139 |
"epoch": 0.08,
|
| 140 |
-
"mmlu_eval_accuracy": 0.
|
| 141 |
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
| 142 |
"mmlu_eval_accuracy_anatomy": 0.6428571428571429,
|
| 143 |
"mmlu_eval_accuracy_astronomy": 0.5625,
|
|
@@ -148,12 +148,12 @@
|
|
| 148 |
"mmlu_eval_accuracy_college_computer_science": 0.2727272727272727,
|
| 149 |
"mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
|
| 150 |
"mmlu_eval_accuracy_college_medicine": 0.45454545454545453,
|
| 151 |
-
"mmlu_eval_accuracy_college_physics": 0.
|
| 152 |
"mmlu_eval_accuracy_computer_security": 0.45454545454545453,
|
| 153 |
-
"mmlu_eval_accuracy_conceptual_physics": 0.
|
| 154 |
"mmlu_eval_accuracy_econometrics": 0.25,
|
| 155 |
"mmlu_eval_accuracy_electrical_engineering": 0.3125,
|
| 156 |
-
"mmlu_eval_accuracy_elementary_mathematics": 0.
|
| 157 |
"mmlu_eval_accuracy_formal_logic": 0.07142857142857142,
|
| 158 |
"mmlu_eval_accuracy_global_facts": 0.4,
|
| 159 |
"mmlu_eval_accuracy_high_school_biology": 0.375,
|
|
@@ -162,10 +162,10 @@
|
|
| 162 |
"mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666,
|
| 163 |
"mmlu_eval_accuracy_high_school_geography": 0.9090909090909091,
|
| 164 |
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
|
| 165 |
-
"mmlu_eval_accuracy_high_school_macroeconomics": 0.
|
| 166 |
"mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276,
|
| 167 |
"mmlu_eval_accuracy_high_school_microeconomics": 0.5,
|
| 168 |
-
"mmlu_eval_accuracy_high_school_physics": 0.
|
| 169 |
"mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667,
|
| 170 |
"mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216,
|
| 171 |
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
|
@@ -180,70 +180,70 @@
|
|
| 180 |
"mmlu_eval_accuracy_marketing": 0.8,
|
| 181 |
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
| 182 |
"mmlu_eval_accuracy_miscellaneous": 0.6627906976744186,
|
| 183 |
-
"mmlu_eval_accuracy_moral_disputes": 0.
|
| 184 |
"mmlu_eval_accuracy_moral_scenarios": 0.24,
|
| 185 |
"mmlu_eval_accuracy_nutrition": 0.7272727272727273,
|
| 186 |
"mmlu_eval_accuracy_philosophy": 0.5294117647058824,
|
| 187 |
"mmlu_eval_accuracy_prehistory": 0.5142857142857142,
|
| 188 |
"mmlu_eval_accuracy_professional_accounting": 0.3548387096774194,
|
| 189 |
-
"mmlu_eval_accuracy_professional_law": 0.
|
| 190 |
"mmlu_eval_accuracy_professional_medicine": 0.5483870967741935,
|
| 191 |
-
"mmlu_eval_accuracy_professional_psychology": 0.
|
| 192 |
"mmlu_eval_accuracy_public_relations": 0.5833333333333334,
|
| 193 |
-
"mmlu_eval_accuracy_security_studies": 0.
|
| 194 |
-
"mmlu_eval_accuracy_sociology": 0.
|
| 195 |
"mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273,
|
| 196 |
"mmlu_eval_accuracy_virology": 0.5,
|
| 197 |
-
"mmlu_eval_accuracy_world_religions": 0.
|
| 198 |
-
"mmlu_loss": 1.
|
| 199 |
"step": 200
|
| 200 |
},
|
| 201 |
{
|
| 202 |
"epoch": 0.08,
|
| 203 |
"learning_rate": 0.0002,
|
| 204 |
-
"loss": 0.
|
| 205 |
"step": 210
|
| 206 |
},
|
| 207 |
{
|
| 208 |
"epoch": 0.08,
|
| 209 |
"learning_rate": 0.0002,
|
| 210 |
-
"loss": 0.
|
| 211 |
"step": 220
|
| 212 |
},
|
| 213 |
{
|
| 214 |
"epoch": 0.09,
|
| 215 |
"learning_rate": 0.0002,
|
| 216 |
-
"loss": 0.
|
| 217 |
"step": 230
|
| 218 |
},
|
| 219 |
{
|
| 220 |
"epoch": 0.09,
|
| 221 |
"learning_rate": 0.0002,
|
| 222 |
-
"loss": 0.
|
| 223 |
"step": 240
|
| 224 |
},
|
| 225 |
{
|
| 226 |
"epoch": 0.09,
|
| 227 |
"learning_rate": 0.0002,
|
| 228 |
-
"loss": 0.
|
| 229 |
"step": 250
|
| 230 |
},
|
| 231 |
{
|
| 232 |
"epoch": 0.1,
|
| 233 |
"learning_rate": 0.0002,
|
| 234 |
-
"loss": 0.
|
| 235 |
"step": 260
|
| 236 |
},
|
| 237 |
{
|
| 238 |
"epoch": 0.1,
|
| 239 |
"learning_rate": 0.0002,
|
| 240 |
-
"loss": 0.
|
| 241 |
"step": 270
|
| 242 |
},
|
| 243 |
{
|
| 244 |
"epoch": 0.11,
|
| 245 |
"learning_rate": 0.0002,
|
| 246 |
-
"loss": 0.
|
| 247 |
"step": 280
|
| 248 |
},
|
| 249 |
{
|
|
@@ -255,112 +255,112 @@
|
|
| 255 |
{
|
| 256 |
"epoch": 0.11,
|
| 257 |
"learning_rate": 0.0002,
|
| 258 |
-
"loss": 0.
|
| 259 |
"step": 300
|
| 260 |
},
|
| 261 |
{
|
| 262 |
"epoch": 0.12,
|
| 263 |
"learning_rate": 0.0002,
|
| 264 |
-
"loss": 0.
|
| 265 |
"step": 310
|
| 266 |
},
|
| 267 |
{
|
| 268 |
"epoch": 0.12,
|
| 269 |
"learning_rate": 0.0002,
|
| 270 |
-
"loss": 0.
|
| 271 |
"step": 320
|
| 272 |
},
|
| 273 |
{
|
| 274 |
"epoch": 0.12,
|
| 275 |
"learning_rate": 0.0002,
|
| 276 |
-
"loss": 0.
|
| 277 |
"step": 330
|
| 278 |
},
|
| 279 |
{
|
| 280 |
"epoch": 0.13,
|
| 281 |
"learning_rate": 0.0002,
|
| 282 |
-
"loss": 0.
|
| 283 |
"step": 340
|
| 284 |
},
|
| 285 |
{
|
| 286 |
"epoch": 0.13,
|
| 287 |
"learning_rate": 0.0002,
|
| 288 |
-
"loss": 0.
|
| 289 |
"step": 350
|
| 290 |
},
|
| 291 |
{
|
| 292 |
"epoch": 0.14,
|
| 293 |
"learning_rate": 0.0002,
|
| 294 |
-
"loss": 0.
|
| 295 |
"step": 360
|
| 296 |
},
|
| 297 |
{
|
| 298 |
"epoch": 0.14,
|
| 299 |
"learning_rate": 0.0002,
|
| 300 |
-
"loss": 0.
|
| 301 |
"step": 370
|
| 302 |
},
|
| 303 |
{
|
| 304 |
"epoch": 0.14,
|
| 305 |
"learning_rate": 0.0002,
|
| 306 |
-
"loss": 0.
|
| 307 |
"step": 380
|
| 308 |
},
|
| 309 |
{
|
| 310 |
"epoch": 0.15,
|
| 311 |
"learning_rate": 0.0002,
|
| 312 |
-
"loss": 0.
|
| 313 |
"step": 390
|
| 314 |
},
|
| 315 |
{
|
| 316 |
"epoch": 0.15,
|
| 317 |
"learning_rate": 0.0002,
|
| 318 |
-
"loss": 0.
|
| 319 |
"step": 400
|
| 320 |
},
|
| 321 |
{
|
| 322 |
"epoch": 0.15,
|
| 323 |
-
"eval_loss": 0.
|
| 324 |
-
"eval_runtime":
|
| 325 |
-
"eval_samples_per_second":
|
| 326 |
-
"eval_steps_per_second":
|
| 327 |
"step": 400
|
| 328 |
},
|
| 329 |
{
|
| 330 |
"epoch": 0.15,
|
| 331 |
-
"mmlu_eval_accuracy": 0.
|
| 332 |
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
| 333 |
"mmlu_eval_accuracy_anatomy": 0.6428571428571429,
|
| 334 |
"mmlu_eval_accuracy_astronomy": 0.4375,
|
| 335 |
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
|
| 336 |
"mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655,
|
| 337 |
"mmlu_eval_accuracy_college_biology": 0.4375,
|
| 338 |
-
"mmlu_eval_accuracy_college_chemistry": 0.
|
| 339 |
"mmlu_eval_accuracy_college_computer_science": 0.2727272727272727,
|
| 340 |
-
"mmlu_eval_accuracy_college_mathematics": 0.
|
| 341 |
-
"mmlu_eval_accuracy_college_medicine": 0.
|
| 342 |
"mmlu_eval_accuracy_college_physics": 0.45454545454545453,
|
| 343 |
"mmlu_eval_accuracy_computer_security": 0.36363636363636365,
|
| 344 |
-
"mmlu_eval_accuracy_conceptual_physics": 0.
|
| 345 |
"mmlu_eval_accuracy_econometrics": 0.25,
|
| 346 |
"mmlu_eval_accuracy_electrical_engineering": 0.25,
|
| 347 |
"mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073,
|
| 348 |
"mmlu_eval_accuracy_formal_logic": 0.14285714285714285,
|
| 349 |
"mmlu_eval_accuracy_global_facts": 0.4,
|
| 350 |
-
"mmlu_eval_accuracy_high_school_biology": 0.
|
| 351 |
-
"mmlu_eval_accuracy_high_school_chemistry": 0.
|
| 352 |
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
| 353 |
-
"mmlu_eval_accuracy_high_school_european_history": 0.
|
| 354 |
"mmlu_eval_accuracy_high_school_geography": 0.9090909090909091,
|
| 355 |
-
"mmlu_eval_accuracy_high_school_government_and_politics": 0.
|
| 356 |
-
"mmlu_eval_accuracy_high_school_macroeconomics": 0.
|
| 357 |
"mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276,
|
| 358 |
-
"mmlu_eval_accuracy_high_school_microeconomics": 0.
|
| 359 |
"mmlu_eval_accuracy_high_school_physics": 0.17647058823529413,
|
| 360 |
-
"mmlu_eval_accuracy_high_school_psychology": 0.
|
| 361 |
"mmlu_eval_accuracy_high_school_statistics": 0.391304347826087,
|
| 362 |
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
| 363 |
-
"mmlu_eval_accuracy_high_school_world_history": 0.
|
| 364 |
"mmlu_eval_accuracy_human_aging": 0.6521739130434783,
|
| 365 |
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
| 366 |
"mmlu_eval_accuracy_international_law": 0.8461538461538461,
|
|
@@ -372,39 +372,39 @@
|
|
| 372 |
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
| 373 |
"mmlu_eval_accuracy_miscellaneous": 0.6511627906976745,
|
| 374 |
"mmlu_eval_accuracy_moral_disputes": 0.39473684210526316,
|
| 375 |
-
"mmlu_eval_accuracy_moral_scenarios": 0.
|
| 376 |
"mmlu_eval_accuracy_nutrition": 0.6666666666666666,
|
| 377 |
-
"mmlu_eval_accuracy_philosophy": 0.
|
| 378 |
"mmlu_eval_accuracy_prehistory": 0.45714285714285713,
|
| 379 |
-
"mmlu_eval_accuracy_professional_accounting": 0.
|
| 380 |
-
"mmlu_eval_accuracy_professional_law": 0.
|
| 381 |
-
"mmlu_eval_accuracy_professional_medicine": 0.
|
| 382 |
"mmlu_eval_accuracy_professional_psychology": 0.4927536231884058,
|
| 383 |
"mmlu_eval_accuracy_public_relations": 0.6666666666666666,
|
| 384 |
"mmlu_eval_accuracy_security_studies": 0.5185185185185185,
|
| 385 |
-
"mmlu_eval_accuracy_sociology": 0.
|
| 386 |
"mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273,
|
| 387 |
-
"mmlu_eval_accuracy_virology": 0.
|
| 388 |
"mmlu_eval_accuracy_world_religions": 0.7368421052631579,
|
| 389 |
-
"mmlu_loss": 1.
|
| 390 |
"step": 400
|
| 391 |
},
|
| 392 |
{
|
| 393 |
"epoch": 0.15,
|
| 394 |
"learning_rate": 0.0002,
|
| 395 |
-
"loss": 0.
|
| 396 |
"step": 410
|
| 397 |
},
|
| 398 |
{
|
| 399 |
"epoch": 0.16,
|
| 400 |
"learning_rate": 0.0002,
|
| 401 |
-
"loss": 0.
|
| 402 |
"step": 420
|
| 403 |
},
|
| 404 |
{
|
| 405 |
"epoch": 0.16,
|
| 406 |
"learning_rate": 0.0002,
|
| 407 |
-
"loss": 0.
|
| 408 |
"step": 430
|
| 409 |
},
|
| 410 |
{
|
|
@@ -416,13 +416,13 @@
|
|
| 416 |
{
|
| 417 |
"epoch": 0.17,
|
| 418 |
"learning_rate": 0.0002,
|
| 419 |
-
"loss": 0.
|
| 420 |
"step": 450
|
| 421 |
},
|
| 422 |
{
|
| 423 |
"epoch": 0.17,
|
| 424 |
"learning_rate": 0.0002,
|
| 425 |
-
"loss": 0.
|
| 426 |
"step": 460
|
| 427 |
},
|
| 428 |
{
|
|
@@ -446,13 +446,13 @@
|
|
| 446 |
{
|
| 447 |
"epoch": 0.19,
|
| 448 |
"learning_rate": 0.0002,
|
| 449 |
-
"loss": 0.
|
| 450 |
"step": 500
|
| 451 |
},
|
| 452 |
{
|
| 453 |
"epoch": 0.19,
|
| 454 |
"learning_rate": 0.0002,
|
| 455 |
-
"loss": 0.
|
| 456 |
"step": 510
|
| 457 |
},
|
| 458 |
{
|
|
@@ -464,31 +464,31 @@
|
|
| 464 |
{
|
| 465 |
"epoch": 0.2,
|
| 466 |
"learning_rate": 0.0002,
|
| 467 |
-
"loss": 0.
|
| 468 |
"step": 530
|
| 469 |
},
|
| 470 |
{
|
| 471 |
"epoch": 0.2,
|
| 472 |
"learning_rate": 0.0002,
|
| 473 |
-
"loss": 0.
|
| 474 |
"step": 540
|
| 475 |
},
|
| 476 |
{
|
| 477 |
"epoch": 0.21,
|
| 478 |
"learning_rate": 0.0002,
|
| 479 |
-
"loss": 0.
|
| 480 |
"step": 550
|
| 481 |
},
|
| 482 |
{
|
| 483 |
"epoch": 0.21,
|
| 484 |
"learning_rate": 0.0002,
|
| 485 |
-
"loss": 0.
|
| 486 |
"step": 560
|
| 487 |
},
|
| 488 |
{
|
| 489 |
"epoch": 0.21,
|
| 490 |
"learning_rate": 0.0002,
|
| 491 |
-
"loss": 0.
|
| 492 |
"step": 570
|
| 493 |
},
|
| 494 |
{
|
|
@@ -500,84 +500,84 @@
|
|
| 500 |
{
|
| 501 |
"epoch": 0.22,
|
| 502 |
"learning_rate": 0.0002,
|
| 503 |
-
"loss": 0.
|
| 504 |
"step": 590
|
| 505 |
},
|
| 506 |
{
|
| 507 |
"epoch": 0.23,
|
| 508 |
"learning_rate": 0.0002,
|
| 509 |
-
"loss": 0.
|
| 510 |
"step": 600
|
| 511 |
},
|
| 512 |
{
|
| 513 |
"epoch": 0.23,
|
| 514 |
-
"eval_loss": 0.
|
| 515 |
-
"eval_runtime":
|
| 516 |
-
"eval_samples_per_second":
|
| 517 |
-
"eval_steps_per_second":
|
| 518 |
"step": 600
|
| 519 |
},
|
| 520 |
{
|
| 521 |
"epoch": 0.23,
|
| 522 |
-
"mmlu_eval_accuracy": 0.
|
| 523 |
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
| 524 |
"mmlu_eval_accuracy_anatomy": 0.6428571428571429,
|
| 525 |
"mmlu_eval_accuracy_astronomy": 0.4375,
|
| 526 |
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
|
| 527 |
"mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655,
|
| 528 |
"mmlu_eval_accuracy_college_biology": 0.4375,
|
| 529 |
-
"mmlu_eval_accuracy_college_chemistry": 0.
|
| 530 |
"mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
|
| 531 |
-
"mmlu_eval_accuracy_college_mathematics": 0.
|
| 532 |
"mmlu_eval_accuracy_college_medicine": 0.4090909090909091,
|
| 533 |
"mmlu_eval_accuracy_college_physics": 0.36363636363636365,
|
| 534 |
-
"mmlu_eval_accuracy_computer_security": 0.
|
| 535 |
-
"mmlu_eval_accuracy_conceptual_physics": 0.
|
| 536 |
"mmlu_eval_accuracy_econometrics": 0.25,
|
| 537 |
"mmlu_eval_accuracy_electrical_engineering": 0.3125,
|
| 538 |
-
"mmlu_eval_accuracy_elementary_mathematics": 0.
|
| 539 |
"mmlu_eval_accuracy_formal_logic": 0.14285714285714285,
|
| 540 |
-
"mmlu_eval_accuracy_global_facts": 0.
|
| 541 |
"mmlu_eval_accuracy_high_school_biology": 0.375,
|
| 542 |
"mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727,
|
| 543 |
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
| 544 |
"mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112,
|
| 545 |
"mmlu_eval_accuracy_high_school_geography": 0.9090909090909091,
|
| 546 |
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
|
| 547 |
-
"mmlu_eval_accuracy_high_school_macroeconomics": 0.
|
| 548 |
"mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276,
|
| 549 |
-
"mmlu_eval_accuracy_high_school_microeconomics": 0.
|
| 550 |
-
"mmlu_eval_accuracy_high_school_physics": 0.
|
| 551 |
"mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334,
|
| 552 |
-
"mmlu_eval_accuracy_high_school_statistics": 0.
|
| 553 |
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
| 554 |
-
"mmlu_eval_accuracy_high_school_world_history": 0.
|
| 555 |
"mmlu_eval_accuracy_human_aging": 0.6521739130434783,
|
| 556 |
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
| 557 |
-
"mmlu_eval_accuracy_international_law": 0.
|
| 558 |
"mmlu_eval_accuracy_jurisprudence": 0.45454545454545453,
|
| 559 |
"mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666,
|
| 560 |
"mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
|
| 561 |
"mmlu_eval_accuracy_management": 0.6363636363636364,
|
| 562 |
-
"mmlu_eval_accuracy_marketing": 0.
|
| 563 |
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
| 564 |
-
"mmlu_eval_accuracy_miscellaneous": 0.
|
| 565 |
-
"mmlu_eval_accuracy_moral_disputes": 0.
|
| 566 |
-
"mmlu_eval_accuracy_moral_scenarios": 0.
|
| 567 |
"mmlu_eval_accuracy_nutrition": 0.6060606060606061,
|
| 568 |
"mmlu_eval_accuracy_philosophy": 0.5,
|
| 569 |
"mmlu_eval_accuracy_prehistory": 0.42857142857142855,
|
| 570 |
-
"mmlu_eval_accuracy_professional_accounting": 0.
|
| 571 |
-
"mmlu_eval_accuracy_professional_law": 0.
|
| 572 |
-
"mmlu_eval_accuracy_professional_medicine": 0.
|
| 573 |
-
"mmlu_eval_accuracy_professional_psychology": 0.
|
| 574 |
-
"mmlu_eval_accuracy_public_relations": 0.
|
| 575 |
"mmlu_eval_accuracy_security_studies": 0.4444444444444444,
|
| 576 |
"mmlu_eval_accuracy_sociology": 0.7272727272727273,
|
| 577 |
-
"mmlu_eval_accuracy_us_foreign_policy": 0.
|
| 578 |
"mmlu_eval_accuracy_virology": 0.5555555555555556,
|
| 579 |
"mmlu_eval_accuracy_world_religions": 0.7368421052631579,
|
| 580 |
-
"mmlu_loss": 1.
|
| 581 |
"step": 600
|
| 582 |
}
|
| 583 |
],
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.8691657781600952,
|
| 3 |
"best_model_checkpoint": "experts/expert-11/checkpoint-600",
|
| 4 |
"epoch": 0.22598870056497175,
|
| 5 |
"global_step": 600,
|
|
|
|
| 16 |
{
|
| 17 |
"epoch": 0.01,
|
| 18 |
"learning_rate": 0.0002,
|
| 19 |
+
"loss": 0.9799,
|
| 20 |
"step": 20
|
| 21 |
},
|
| 22 |
{
|
| 23 |
"epoch": 0.01,
|
| 24 |
"learning_rate": 0.0002,
|
| 25 |
+
"loss": 0.939,
|
| 26 |
"step": 30
|
| 27 |
},
|
| 28 |
{
|
| 29 |
"epoch": 0.02,
|
| 30 |
"learning_rate": 0.0002,
|
| 31 |
+
"loss": 0.937,
|
| 32 |
"step": 40
|
| 33 |
},
|
| 34 |
{
|
| 35 |
"epoch": 0.02,
|
| 36 |
"learning_rate": 0.0002,
|
| 37 |
+
"loss": 0.9289,
|
| 38 |
"step": 50
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 0.02,
|
| 42 |
"learning_rate": 0.0002,
|
| 43 |
+
"loss": 0.9047,
|
| 44 |
"step": 60
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 0.03,
|
| 48 |
"learning_rate": 0.0002,
|
| 49 |
+
"loss": 0.9322,
|
| 50 |
"step": 70
|
| 51 |
},
|
| 52 |
{
|
| 53 |
"epoch": 0.03,
|
| 54 |
"learning_rate": 0.0002,
|
| 55 |
+
"loss": 0.8927,
|
| 56 |
"step": 80
|
| 57 |
},
|
| 58 |
{
|
| 59 |
"epoch": 0.03,
|
| 60 |
"learning_rate": 0.0002,
|
| 61 |
+
"loss": 0.8657,
|
| 62 |
"step": 90
|
| 63 |
},
|
| 64 |
{
|
| 65 |
"epoch": 0.04,
|
| 66 |
"learning_rate": 0.0002,
|
| 67 |
+
"loss": 0.8972,
|
| 68 |
"step": 100
|
| 69 |
},
|
| 70 |
{
|
| 71 |
"epoch": 0.04,
|
| 72 |
"learning_rate": 0.0002,
|
| 73 |
+
"loss": 0.9312,
|
| 74 |
"step": 110
|
| 75 |
},
|
| 76 |
{
|
| 77 |
"epoch": 0.05,
|
| 78 |
"learning_rate": 0.0002,
|
| 79 |
+
"loss": 0.8905,
|
| 80 |
"step": 120
|
| 81 |
},
|
| 82 |
{
|
| 83 |
"epoch": 0.05,
|
| 84 |
"learning_rate": 0.0002,
|
| 85 |
+
"loss": 0.892,
|
| 86 |
"step": 130
|
| 87 |
},
|
| 88 |
{
|
| 89 |
"epoch": 0.05,
|
| 90 |
"learning_rate": 0.0002,
|
| 91 |
+
"loss": 0.9042,
|
| 92 |
"step": 140
|
| 93 |
},
|
| 94 |
{
|
| 95 |
"epoch": 0.06,
|
| 96 |
"learning_rate": 0.0002,
|
| 97 |
+
"loss": 0.9328,
|
| 98 |
"step": 150
|
| 99 |
},
|
| 100 |
{
|
| 101 |
"epoch": 0.06,
|
| 102 |
"learning_rate": 0.0002,
|
| 103 |
+
"loss": 0.8804,
|
| 104 |
"step": 160
|
| 105 |
},
|
| 106 |
{
|
| 107 |
"epoch": 0.06,
|
| 108 |
"learning_rate": 0.0002,
|
| 109 |
+
"loss": 0.8963,
|
| 110 |
"step": 170
|
| 111 |
},
|
| 112 |
{
|
| 113 |
"epoch": 0.07,
|
| 114 |
"learning_rate": 0.0002,
|
| 115 |
+
"loss": 0.9726,
|
| 116 |
"step": 180
|
| 117 |
},
|
| 118 |
{
|
| 119 |
"epoch": 0.07,
|
| 120 |
"learning_rate": 0.0002,
|
| 121 |
+
"loss": 0.8783,
|
| 122 |
"step": 190
|
| 123 |
},
|
| 124 |
{
|
|
|
|
| 129 |
},
|
| 130 |
{
|
| 131 |
"epoch": 0.08,
|
| 132 |
+
"eval_loss": 0.8874900937080383,
|
| 133 |
+
"eval_runtime": 103.8141,
|
| 134 |
+
"eval_samples_per_second": 9.633,
|
| 135 |
+
"eval_steps_per_second": 4.816,
|
| 136 |
"step": 200
|
| 137 |
},
|
| 138 |
{
|
| 139 |
"epoch": 0.08,
|
| 140 |
+
"mmlu_eval_accuracy": 0.49658719618211383,
|
| 141 |
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
| 142 |
"mmlu_eval_accuracy_anatomy": 0.6428571428571429,
|
| 143 |
"mmlu_eval_accuracy_astronomy": 0.5625,
|
|
|
|
| 148 |
"mmlu_eval_accuracy_college_computer_science": 0.2727272727272727,
|
| 149 |
"mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
|
| 150 |
"mmlu_eval_accuracy_college_medicine": 0.45454545454545453,
|
| 151 |
+
"mmlu_eval_accuracy_college_physics": 0.45454545454545453,
|
| 152 |
"mmlu_eval_accuracy_computer_security": 0.45454545454545453,
|
| 153 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464,
|
| 154 |
"mmlu_eval_accuracy_econometrics": 0.25,
|
| 155 |
"mmlu_eval_accuracy_electrical_engineering": 0.3125,
|
| 156 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.36585365853658536,
|
| 157 |
"mmlu_eval_accuracy_formal_logic": 0.07142857142857142,
|
| 158 |
"mmlu_eval_accuracy_global_facts": 0.4,
|
| 159 |
"mmlu_eval_accuracy_high_school_biology": 0.375,
|
|
|
|
| 162 |
"mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666,
|
| 163 |
"mmlu_eval_accuracy_high_school_geography": 0.9090909090909091,
|
| 164 |
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
|
| 165 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.46511627906976744,
|
| 166 |
"mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276,
|
| 167 |
"mmlu_eval_accuracy_high_school_microeconomics": 0.5,
|
| 168 |
+
"mmlu_eval_accuracy_high_school_physics": 0.058823529411764705,
|
| 169 |
"mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667,
|
| 170 |
"mmlu_eval_accuracy_high_school_statistics": 0.43478260869565216,
|
| 171 |
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
|
|
|
| 180 |
"mmlu_eval_accuracy_marketing": 0.8,
|
| 181 |
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
| 182 |
"mmlu_eval_accuracy_miscellaneous": 0.6627906976744186,
|
| 183 |
+
"mmlu_eval_accuracy_moral_disputes": 0.42105263157894735,
|
| 184 |
"mmlu_eval_accuracy_moral_scenarios": 0.24,
|
| 185 |
"mmlu_eval_accuracy_nutrition": 0.7272727272727273,
|
| 186 |
"mmlu_eval_accuracy_philosophy": 0.5294117647058824,
|
| 187 |
"mmlu_eval_accuracy_prehistory": 0.5142857142857142,
|
| 188 |
"mmlu_eval_accuracy_professional_accounting": 0.3548387096774194,
|
| 189 |
+
"mmlu_eval_accuracy_professional_law": 0.3176470588235294,
|
| 190 |
"mmlu_eval_accuracy_professional_medicine": 0.5483870967741935,
|
| 191 |
+
"mmlu_eval_accuracy_professional_psychology": 0.463768115942029,
|
| 192 |
"mmlu_eval_accuracy_public_relations": 0.5833333333333334,
|
| 193 |
+
"mmlu_eval_accuracy_security_studies": 0.48148148148148145,
|
| 194 |
+
"mmlu_eval_accuracy_sociology": 0.6818181818181818,
|
| 195 |
"mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273,
|
| 196 |
"mmlu_eval_accuracy_virology": 0.5,
|
| 197 |
+
"mmlu_eval_accuracy_world_religions": 0.7368421052631579,
|
| 198 |
+
"mmlu_loss": 1.606294181265968,
|
| 199 |
"step": 200
|
| 200 |
},
|
| 201 |
{
|
| 202 |
"epoch": 0.08,
|
| 203 |
"learning_rate": 0.0002,
|
| 204 |
+
"loss": 0.895,
|
| 205 |
"step": 210
|
| 206 |
},
|
| 207 |
{
|
| 208 |
"epoch": 0.08,
|
| 209 |
"learning_rate": 0.0002,
|
| 210 |
+
"loss": 0.9127,
|
| 211 |
"step": 220
|
| 212 |
},
|
| 213 |
{
|
| 214 |
"epoch": 0.09,
|
| 215 |
"learning_rate": 0.0002,
|
| 216 |
+
"loss": 0.9184,
|
| 217 |
"step": 230
|
| 218 |
},
|
| 219 |
{
|
| 220 |
"epoch": 0.09,
|
| 221 |
"learning_rate": 0.0002,
|
| 222 |
+
"loss": 0.9341,
|
| 223 |
"step": 240
|
| 224 |
},
|
| 225 |
{
|
| 226 |
"epoch": 0.09,
|
| 227 |
"learning_rate": 0.0002,
|
| 228 |
+
"loss": 0.885,
|
| 229 |
"step": 250
|
| 230 |
},
|
| 231 |
{
|
| 232 |
"epoch": 0.1,
|
| 233 |
"learning_rate": 0.0002,
|
| 234 |
+
"loss": 0.9103,
|
| 235 |
"step": 260
|
| 236 |
},
|
| 237 |
{
|
| 238 |
"epoch": 0.1,
|
| 239 |
"learning_rate": 0.0002,
|
| 240 |
+
"loss": 0.9435,
|
| 241 |
"step": 270
|
| 242 |
},
|
| 243 |
{
|
| 244 |
"epoch": 0.11,
|
| 245 |
"learning_rate": 0.0002,
|
| 246 |
+
"loss": 0.8857,
|
| 247 |
"step": 280
|
| 248 |
},
|
| 249 |
{
|
|
|
|
| 255 |
{
|
| 256 |
"epoch": 0.11,
|
| 257 |
"learning_rate": 0.0002,
|
| 258 |
+
"loss": 0.9063,
|
| 259 |
"step": 300
|
| 260 |
},
|
| 261 |
{
|
| 262 |
"epoch": 0.12,
|
| 263 |
"learning_rate": 0.0002,
|
| 264 |
+
"loss": 0.939,
|
| 265 |
"step": 310
|
| 266 |
},
|
| 267 |
{
|
| 268 |
"epoch": 0.12,
|
| 269 |
"learning_rate": 0.0002,
|
| 270 |
+
"loss": 0.935,
|
| 271 |
"step": 320
|
| 272 |
},
|
| 273 |
{
|
| 274 |
"epoch": 0.12,
|
| 275 |
"learning_rate": 0.0002,
|
| 276 |
+
"loss": 0.8583,
|
| 277 |
"step": 330
|
| 278 |
},
|
| 279 |
{
|
| 280 |
"epoch": 0.13,
|
| 281 |
"learning_rate": 0.0002,
|
| 282 |
+
"loss": 0.8795,
|
| 283 |
"step": 340
|
| 284 |
},
|
| 285 |
{
|
| 286 |
"epoch": 0.13,
|
| 287 |
"learning_rate": 0.0002,
|
| 288 |
+
"loss": 0.8205,
|
| 289 |
"step": 350
|
| 290 |
},
|
| 291 |
{
|
| 292 |
"epoch": 0.14,
|
| 293 |
"learning_rate": 0.0002,
|
| 294 |
+
"loss": 0.8289,
|
| 295 |
"step": 360
|
| 296 |
},
|
| 297 |
{
|
| 298 |
"epoch": 0.14,
|
| 299 |
"learning_rate": 0.0002,
|
| 300 |
+
"loss": 0.9046,
|
| 301 |
"step": 370
|
| 302 |
},
|
| 303 |
{
|
| 304 |
"epoch": 0.14,
|
| 305 |
"learning_rate": 0.0002,
|
| 306 |
+
"loss": 0.9162,
|
| 307 |
"step": 380
|
| 308 |
},
|
| 309 |
{
|
| 310 |
"epoch": 0.15,
|
| 311 |
"learning_rate": 0.0002,
|
| 312 |
+
"loss": 0.8695,
|
| 313 |
"step": 390
|
| 314 |
},
|
| 315 |
{
|
| 316 |
"epoch": 0.15,
|
| 317 |
"learning_rate": 0.0002,
|
| 318 |
+
"loss": 0.8804,
|
| 319 |
"step": 400
|
| 320 |
},
|
| 321 |
{
|
| 322 |
"epoch": 0.15,
|
| 323 |
+
"eval_loss": 0.878248929977417,
|
| 324 |
+
"eval_runtime": 105.4959,
|
| 325 |
+
"eval_samples_per_second": 9.479,
|
| 326 |
+
"eval_steps_per_second": 4.74,
|
| 327 |
"step": 400
|
| 328 |
},
|
| 329 |
{
|
| 330 |
"epoch": 0.15,
|
| 331 |
+
"mmlu_eval_accuracy": 0.4889546706999997,
|
| 332 |
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
| 333 |
"mmlu_eval_accuracy_anatomy": 0.6428571428571429,
|
| 334 |
"mmlu_eval_accuracy_astronomy": 0.4375,
|
| 335 |
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
|
| 336 |
"mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655,
|
| 337 |
"mmlu_eval_accuracy_college_biology": 0.4375,
|
| 338 |
+
"mmlu_eval_accuracy_college_chemistry": 0.25,
|
| 339 |
"mmlu_eval_accuracy_college_computer_science": 0.2727272727272727,
|
| 340 |
+
"mmlu_eval_accuracy_college_mathematics": 0.36363636363636365,
|
| 341 |
+
"mmlu_eval_accuracy_college_medicine": 0.45454545454545453,
|
| 342 |
"mmlu_eval_accuracy_college_physics": 0.45454545454545453,
|
| 343 |
"mmlu_eval_accuracy_computer_security": 0.36363636363636365,
|
| 344 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.34615384615384615,
|
| 345 |
"mmlu_eval_accuracy_econometrics": 0.25,
|
| 346 |
"mmlu_eval_accuracy_electrical_engineering": 0.25,
|
| 347 |
"mmlu_eval_accuracy_elementary_mathematics": 0.3170731707317073,
|
| 348 |
"mmlu_eval_accuracy_formal_logic": 0.14285714285714285,
|
| 349 |
"mmlu_eval_accuracy_global_facts": 0.4,
|
| 350 |
+
"mmlu_eval_accuracy_high_school_biology": 0.375,
|
| 351 |
+
"mmlu_eval_accuracy_high_school_chemistry": 0.36363636363636365,
|
| 352 |
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
| 353 |
+
"mmlu_eval_accuracy_high_school_european_history": 0.5555555555555556,
|
| 354 |
"mmlu_eval_accuracy_high_school_geography": 0.9090909090909091,
|
| 355 |
+
"mmlu_eval_accuracy_high_school_government_and_politics": 0.5238095238095238,
|
| 356 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.4418604651162791,
|
| 357 |
"mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276,
|
| 358 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464,
|
| 359 |
"mmlu_eval_accuracy_high_school_physics": 0.17647058823529413,
|
| 360 |
+
"mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667,
|
| 361 |
"mmlu_eval_accuracy_high_school_statistics": 0.391304347826087,
|
| 362 |
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
| 363 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.7692307692307693,
|
| 364 |
"mmlu_eval_accuracy_human_aging": 0.6521739130434783,
|
| 365 |
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
| 366 |
"mmlu_eval_accuracy_international_law": 0.8461538461538461,
|
|
|
|
| 372 |
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
| 373 |
"mmlu_eval_accuracy_miscellaneous": 0.6511627906976745,
|
| 374 |
"mmlu_eval_accuracy_moral_disputes": 0.39473684210526316,
|
| 375 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.24,
|
| 376 |
"mmlu_eval_accuracy_nutrition": 0.6666666666666666,
|
| 377 |
+
"mmlu_eval_accuracy_philosophy": 0.5294117647058824,
|
| 378 |
"mmlu_eval_accuracy_prehistory": 0.45714285714285713,
|
| 379 |
+
"mmlu_eval_accuracy_professional_accounting": 0.41935483870967744,
|
| 380 |
+
"mmlu_eval_accuracy_professional_law": 0.31176470588235294,
|
| 381 |
+
"mmlu_eval_accuracy_professional_medicine": 0.5161290322580645,
|
| 382 |
"mmlu_eval_accuracy_professional_psychology": 0.4927536231884058,
|
| 383 |
"mmlu_eval_accuracy_public_relations": 0.6666666666666666,
|
| 384 |
"mmlu_eval_accuracy_security_studies": 0.5185185185185185,
|
| 385 |
+
"mmlu_eval_accuracy_sociology": 0.6818181818181818,
|
| 386 |
"mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273,
|
| 387 |
+
"mmlu_eval_accuracy_virology": 0.5555555555555556,
|
| 388 |
"mmlu_eval_accuracy_world_religions": 0.7368421052631579,
|
| 389 |
+
"mmlu_loss": 1.5168773670420634,
|
| 390 |
"step": 400
|
| 391 |
},
|
| 392 |
{
|
| 393 |
"epoch": 0.15,
|
| 394 |
"learning_rate": 0.0002,
|
| 395 |
+
"loss": 0.8255,
|
| 396 |
"step": 410
|
| 397 |
},
|
| 398 |
{
|
| 399 |
"epoch": 0.16,
|
| 400 |
"learning_rate": 0.0002,
|
| 401 |
+
"loss": 0.8495,
|
| 402 |
"step": 420
|
| 403 |
},
|
| 404 |
{
|
| 405 |
"epoch": 0.16,
|
| 406 |
"learning_rate": 0.0002,
|
| 407 |
+
"loss": 0.8453,
|
| 408 |
"step": 430
|
| 409 |
},
|
| 410 |
{
|
|
|
|
| 416 |
{
|
| 417 |
"epoch": 0.17,
|
| 418 |
"learning_rate": 0.0002,
|
| 419 |
+
"loss": 0.8738,
|
| 420 |
"step": 450
|
| 421 |
},
|
| 422 |
{
|
| 423 |
"epoch": 0.17,
|
| 424 |
"learning_rate": 0.0002,
|
| 425 |
+
"loss": 0.9093,
|
| 426 |
"step": 460
|
| 427 |
},
|
| 428 |
{
|
|
|
|
| 446 |
{
|
| 447 |
"epoch": 0.19,
|
| 448 |
"learning_rate": 0.0002,
|
| 449 |
+
"loss": 0.8622,
|
| 450 |
"step": 500
|
| 451 |
},
|
| 452 |
{
|
| 453 |
"epoch": 0.19,
|
| 454 |
"learning_rate": 0.0002,
|
| 455 |
+
"loss": 0.9365,
|
| 456 |
"step": 510
|
| 457 |
},
|
| 458 |
{
|
|
|
|
| 464 |
{
|
| 465 |
"epoch": 0.2,
|
| 466 |
"learning_rate": 0.0002,
|
| 467 |
+
"loss": 0.867,
|
| 468 |
"step": 530
|
| 469 |
},
|
| 470 |
{
|
| 471 |
"epoch": 0.2,
|
| 472 |
"learning_rate": 0.0002,
|
| 473 |
+
"loss": 0.9312,
|
| 474 |
"step": 540
|
| 475 |
},
|
| 476 |
{
|
| 477 |
"epoch": 0.21,
|
| 478 |
"learning_rate": 0.0002,
|
| 479 |
+
"loss": 0.9302,
|
| 480 |
"step": 550
|
| 481 |
},
|
| 482 |
{
|
| 483 |
"epoch": 0.21,
|
| 484 |
"learning_rate": 0.0002,
|
| 485 |
+
"loss": 0.8623,
|
| 486 |
"step": 560
|
| 487 |
},
|
| 488 |
{
|
| 489 |
"epoch": 0.21,
|
| 490 |
"learning_rate": 0.0002,
|
| 491 |
+
"loss": 0.9095,
|
| 492 |
"step": 570
|
| 493 |
},
|
| 494 |
{
|
|
|
|
| 500 |
{
|
| 501 |
"epoch": 0.22,
|
| 502 |
"learning_rate": 0.0002,
|
| 503 |
+
"loss": 0.8468,
|
| 504 |
"step": 590
|
| 505 |
},
|
| 506 |
{
|
| 507 |
"epoch": 0.23,
|
| 508 |
"learning_rate": 0.0002,
|
| 509 |
+
"loss": 0.9239,
|
| 510 |
"step": 600
|
| 511 |
},
|
| 512 |
{
|
| 513 |
"epoch": 0.23,
|
| 514 |
+
"eval_loss": 0.8691657781600952,
|
| 515 |
+
"eval_runtime": 103.951,
|
| 516 |
+
"eval_samples_per_second": 9.62,
|
| 517 |
+
"eval_steps_per_second": 4.81,
|
| 518 |
"step": 600
|
| 519 |
},
|
| 520 |
{
|
| 521 |
"epoch": 0.23,
|
| 522 |
+
"mmlu_eval_accuracy": 0.49257254179007437,
|
| 523 |
"mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
|
| 524 |
"mmlu_eval_accuracy_anatomy": 0.6428571428571429,
|
| 525 |
"mmlu_eval_accuracy_astronomy": 0.4375,
|
| 526 |
"mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
|
| 527 |
"mmlu_eval_accuracy_clinical_knowledge": 0.4482758620689655,
|
| 528 |
"mmlu_eval_accuracy_college_biology": 0.4375,
|
| 529 |
+
"mmlu_eval_accuracy_college_chemistry": 0.25,
|
| 530 |
"mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
|
| 531 |
+
"mmlu_eval_accuracy_college_mathematics": 0.18181818181818182,
|
| 532 |
"mmlu_eval_accuracy_college_medicine": 0.4090909090909091,
|
| 533 |
"mmlu_eval_accuracy_college_physics": 0.36363636363636365,
|
| 534 |
+
"mmlu_eval_accuracy_computer_security": 0.36363636363636365,
|
| 535 |
+
"mmlu_eval_accuracy_conceptual_physics": 0.38461538461538464,
|
| 536 |
"mmlu_eval_accuracy_econometrics": 0.25,
|
| 537 |
"mmlu_eval_accuracy_electrical_engineering": 0.3125,
|
| 538 |
+
"mmlu_eval_accuracy_elementary_mathematics": 0.3902439024390244,
|
| 539 |
"mmlu_eval_accuracy_formal_logic": 0.14285714285714285,
|
| 540 |
+
"mmlu_eval_accuracy_global_facts": 0.6,
|
| 541 |
"mmlu_eval_accuracy_high_school_biology": 0.375,
|
| 542 |
"mmlu_eval_accuracy_high_school_chemistry": 0.2727272727272727,
|
| 543 |
"mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
|
| 544 |
"mmlu_eval_accuracy_high_school_european_history": 0.6111111111111112,
|
| 545 |
"mmlu_eval_accuracy_high_school_geography": 0.9090909090909091,
|
| 546 |
"mmlu_eval_accuracy_high_school_government_and_politics": 0.6190476190476191,
|
| 547 |
+
"mmlu_eval_accuracy_high_school_macroeconomics": 0.4883720930232558,
|
| 548 |
"mmlu_eval_accuracy_high_school_mathematics": 0.2413793103448276,
|
| 549 |
+
"mmlu_eval_accuracy_high_school_microeconomics": 0.46153846153846156,
|
| 550 |
+
"mmlu_eval_accuracy_high_school_physics": 0.17647058823529413,
|
| 551 |
"mmlu_eval_accuracy_high_school_psychology": 0.8333333333333334,
|
| 552 |
+
"mmlu_eval_accuracy_high_school_statistics": 0.391304347826087,
|
| 553 |
"mmlu_eval_accuracy_high_school_us_history": 0.6363636363636364,
|
| 554 |
+
"mmlu_eval_accuracy_high_school_world_history": 0.6923076923076923,
|
| 555 |
"mmlu_eval_accuracy_human_aging": 0.6521739130434783,
|
| 556 |
"mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
|
| 557 |
+
"mmlu_eval_accuracy_international_law": 0.9230769230769231,
|
| 558 |
"mmlu_eval_accuracy_jurisprudence": 0.45454545454545453,
|
| 559 |
"mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666,
|
| 560 |
"mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
|
| 561 |
"mmlu_eval_accuracy_management": 0.6363636363636364,
|
| 562 |
+
"mmlu_eval_accuracy_marketing": 0.8,
|
| 563 |
"mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
|
| 564 |
+
"mmlu_eval_accuracy_miscellaneous": 0.6511627906976745,
|
| 565 |
+
"mmlu_eval_accuracy_moral_disputes": 0.47368421052631576,
|
| 566 |
+
"mmlu_eval_accuracy_moral_scenarios": 0.25,
|
| 567 |
"mmlu_eval_accuracy_nutrition": 0.6060606060606061,
|
| 568 |
"mmlu_eval_accuracy_philosophy": 0.5,
|
| 569 |
"mmlu_eval_accuracy_prehistory": 0.42857142857142855,
|
| 570 |
+
"mmlu_eval_accuracy_professional_accounting": 0.41935483870967744,
|
| 571 |
+
"mmlu_eval_accuracy_professional_law": 0.32941176470588235,
|
| 572 |
+
"mmlu_eval_accuracy_professional_medicine": 0.5483870967741935,
|
| 573 |
+
"mmlu_eval_accuracy_professional_psychology": 0.4782608695652174,
|
| 574 |
+
"mmlu_eval_accuracy_public_relations": 0.5833333333333334,
|
| 575 |
"mmlu_eval_accuracy_security_studies": 0.4444444444444444,
|
| 576 |
"mmlu_eval_accuracy_sociology": 0.7272727272727273,
|
| 577 |
+
"mmlu_eval_accuracy_us_foreign_policy": 0.7272727272727273,
|
| 578 |
"mmlu_eval_accuracy_virology": 0.5555555555555556,
|
| 579 |
"mmlu_eval_accuracy_world_religions": 0.7368421052631579,
|
| 580 |
+
"mmlu_loss": 1.4131649759046092,
|
| 581 |
"step": 600
|
| 582 |
}
|
| 583 |
],
|
checkpoint-600/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5819
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6d25ed85aaaa1b1fcd8d0d7696607f4d0387a809d98218ea0ccfd02ccc95face
|
| 3 |
size 5819
|