Upload 8 files
Browse files- config.json +328 -0
- model.safetensors +3 -0
- optimizer.pt +3 -0
- preprocessor_config.json +22 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +861 -0
- training_args.bin +3 -0
config.json
ADDED
|
@@ -0,0 +1,328 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "google/vit-base-patch16-224-in21k",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"ViTForImageClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.0,
|
| 7 |
+
"encoder_stride": 16,
|
| 8 |
+
"hidden_act": "gelu",
|
| 9 |
+
"hidden_dropout_prob": 0.0,
|
| 10 |
+
"hidden_size": 768,
|
| 11 |
+
"id2label": {
|
| 12 |
+
"0": "Golbat",
|
| 13 |
+
"1": "Machoke",
|
| 14 |
+
"10": "Raichu",
|
| 15 |
+
"100": "Dragonite",
|
| 16 |
+
"101": "Fearow",
|
| 17 |
+
"102": "Slowpoke",
|
| 18 |
+
"103": "Weezing",
|
| 19 |
+
"104": "Beedrill",
|
| 20 |
+
"105": "Weedle",
|
| 21 |
+
"106": "Cloyster",
|
| 22 |
+
"107": "Vaporeon",
|
| 23 |
+
"108": "Gyarados",
|
| 24 |
+
"109": "Golduck",
|
| 25 |
+
"11": "Zapdos",
|
| 26 |
+
"110": "Machamp",
|
| 27 |
+
"111": "Hitmonlee",
|
| 28 |
+
"112": "Primeape",
|
| 29 |
+
"113": "Cubone",
|
| 30 |
+
"114": "Sandslash",
|
| 31 |
+
"115": "Scyther",
|
| 32 |
+
"116": "Haunter",
|
| 33 |
+
"117": "Metapod",
|
| 34 |
+
"118": "Tentacruel",
|
| 35 |
+
"119": "Aerodactyl",
|
| 36 |
+
"12": "Raticate",
|
| 37 |
+
"120": "Kabutops",
|
| 38 |
+
"121": "Ninetales",
|
| 39 |
+
"122": "Zubat",
|
| 40 |
+
"123": "Rhydon",
|
| 41 |
+
"124": "Mew",
|
| 42 |
+
"125": "Pinsir",
|
| 43 |
+
"126": "Ditto",
|
| 44 |
+
"127": "Victreebel",
|
| 45 |
+
"128": "Omanyte",
|
| 46 |
+
"129": "Horsea",
|
| 47 |
+
"13": "Magnemite",
|
| 48 |
+
"130": "Pikachu",
|
| 49 |
+
"131": "Blastoise",
|
| 50 |
+
"132": "Venomoth",
|
| 51 |
+
"133": "Charizard",
|
| 52 |
+
"134": "Seadra",
|
| 53 |
+
"135": "Muk",
|
| 54 |
+
"136": "Spearow",
|
| 55 |
+
"137": "Bulbasaur",
|
| 56 |
+
"138": "Bellsprout",
|
| 57 |
+
"139": "Electrode",
|
| 58 |
+
"14": "Ivysaur",
|
| 59 |
+
"140": "Gloom",
|
| 60 |
+
"141": "Poliwhirl",
|
| 61 |
+
"142": "Flareon",
|
| 62 |
+
"143": "Seaking",
|
| 63 |
+
"144": "Hypno",
|
| 64 |
+
"145": "Wartortle",
|
| 65 |
+
"146": "Mankey",
|
| 66 |
+
"147": "Tentacool",
|
| 67 |
+
"148": "Exeggcute",
|
| 68 |
+
"149": "Meowth",
|
| 69 |
+
"15": "Growlithe",
|
| 70 |
+
"16": "Tangela",
|
| 71 |
+
"17": "Drowzee",
|
| 72 |
+
"18": "Rapidash",
|
| 73 |
+
"19": "Venonat",
|
| 74 |
+
"2": "Omastar",
|
| 75 |
+
"20": "Pidgeot",
|
| 76 |
+
"21": "Nidorino",
|
| 77 |
+
"22": "Porygon",
|
| 78 |
+
"23": "Lickitung",
|
| 79 |
+
"24": "Rattata",
|
| 80 |
+
"25": "Machop",
|
| 81 |
+
"26": "Charmeleon",
|
| 82 |
+
"27": "Slowbro",
|
| 83 |
+
"28": "Parasect",
|
| 84 |
+
"29": "Eevee",
|
| 85 |
+
"3": "Diglett",
|
| 86 |
+
"30": "Starmie",
|
| 87 |
+
"31": "Staryu",
|
| 88 |
+
"32": "Psyduck",
|
| 89 |
+
"33": "Dragonair",
|
| 90 |
+
"34": "Magikarp",
|
| 91 |
+
"35": "Vileplume",
|
| 92 |
+
"36": "Marowak",
|
| 93 |
+
"37": "Pidgeotto",
|
| 94 |
+
"38": "Shellder",
|
| 95 |
+
"39": "Mewtwo",
|
| 96 |
+
"4": "Lapras",
|
| 97 |
+
"40": "Farfetchd",
|
| 98 |
+
"41": "Kingler",
|
| 99 |
+
"42": "Seel",
|
| 100 |
+
"43": "Kakuna",
|
| 101 |
+
"44": "Doduo",
|
| 102 |
+
"45": "Electabuzz",
|
| 103 |
+
"46": "Charmander",
|
| 104 |
+
"47": "Rhyhorn",
|
| 105 |
+
"48": "Tauros",
|
| 106 |
+
"49": "Dugtrio",
|
| 107 |
+
"5": "Kabuto",
|
| 108 |
+
"50": "Poliwrath",
|
| 109 |
+
"51": "Gengar",
|
| 110 |
+
"52": "Exeggutor",
|
| 111 |
+
"53": "Dewgong",
|
| 112 |
+
"54": "Jigglypuff",
|
| 113 |
+
"55": "Geodude",
|
| 114 |
+
"56": "Kadabra",
|
| 115 |
+
"57": "Nidorina",
|
| 116 |
+
"58": "Sandshrew",
|
| 117 |
+
"59": "Grimer",
|
| 118 |
+
"6": "Persian",
|
| 119 |
+
"60": "MrMime",
|
| 120 |
+
"61": "Pidgey",
|
| 121 |
+
"62": "Koffing",
|
| 122 |
+
"63": "Ekans",
|
| 123 |
+
"64": "Alolan Sandslash",
|
| 124 |
+
"65": "Venusaur",
|
| 125 |
+
"66": "Snorlax",
|
| 126 |
+
"67": "Paras",
|
| 127 |
+
"68": "Jynx",
|
| 128 |
+
"69": "Chansey",
|
| 129 |
+
"7": "Weepinbell",
|
| 130 |
+
"70": "Hitmonchan",
|
| 131 |
+
"71": "Gastly",
|
| 132 |
+
"72": "Kangaskhan",
|
| 133 |
+
"73": "Oddish",
|
| 134 |
+
"74": "Wigglytuff",
|
| 135 |
+
"75": "Graveler",
|
| 136 |
+
"76": "Arcanine",
|
| 137 |
+
"77": "Clefairy",
|
| 138 |
+
"78": "Articuno",
|
| 139 |
+
"79": "Poliwag",
|
| 140 |
+
"8": "Golem",
|
| 141 |
+
"80": "Abra",
|
| 142 |
+
"81": "Squirtle",
|
| 143 |
+
"82": "Voltorb",
|
| 144 |
+
"83": "Ponyta",
|
| 145 |
+
"84": "Moltres",
|
| 146 |
+
"85": "Nidoqueen",
|
| 147 |
+
"86": "Magmar",
|
| 148 |
+
"87": "Onix",
|
| 149 |
+
"88": "Vulpix",
|
| 150 |
+
"89": "Butterfree",
|
| 151 |
+
"9": "Dodrio",
|
| 152 |
+
"90": "Krabby",
|
| 153 |
+
"91": "Arbok",
|
| 154 |
+
"92": "Clefable",
|
| 155 |
+
"93": "Goldeen",
|
| 156 |
+
"94": "Magneton",
|
| 157 |
+
"95": "Dratini",
|
| 158 |
+
"96": "Caterpie",
|
| 159 |
+
"97": "Jolteon",
|
| 160 |
+
"98": "Nidoking",
|
| 161 |
+
"99": "Alakazam"
|
| 162 |
+
},
|
| 163 |
+
"image_size": 224,
|
| 164 |
+
"initializer_range": 0.02,
|
| 165 |
+
"intermediate_size": 3072,
|
| 166 |
+
"label2id": {
|
| 167 |
+
"Abra": "80",
|
| 168 |
+
"Aerodactyl": "119",
|
| 169 |
+
"Alakazam": "99",
|
| 170 |
+
"Alolan Sandslash": "64",
|
| 171 |
+
"Arbok": "91",
|
| 172 |
+
"Arcanine": "76",
|
| 173 |
+
"Articuno": "78",
|
| 174 |
+
"Beedrill": "104",
|
| 175 |
+
"Bellsprout": "138",
|
| 176 |
+
"Blastoise": "131",
|
| 177 |
+
"Bulbasaur": "137",
|
| 178 |
+
"Butterfree": "89",
|
| 179 |
+
"Caterpie": "96",
|
| 180 |
+
"Chansey": "69",
|
| 181 |
+
"Charizard": "133",
|
| 182 |
+
"Charmander": "46",
|
| 183 |
+
"Charmeleon": "26",
|
| 184 |
+
"Clefable": "92",
|
| 185 |
+
"Clefairy": "77",
|
| 186 |
+
"Cloyster": "106",
|
| 187 |
+
"Cubone": "113",
|
| 188 |
+
"Dewgong": "53",
|
| 189 |
+
"Diglett": "3",
|
| 190 |
+
"Ditto": "126",
|
| 191 |
+
"Dodrio": "9",
|
| 192 |
+
"Doduo": "44",
|
| 193 |
+
"Dragonair": "33",
|
| 194 |
+
"Dragonite": "100",
|
| 195 |
+
"Dratini": "95",
|
| 196 |
+
"Drowzee": "17",
|
| 197 |
+
"Dugtrio": "49",
|
| 198 |
+
"Eevee": "29",
|
| 199 |
+
"Ekans": "63",
|
| 200 |
+
"Electabuzz": "45",
|
| 201 |
+
"Electrode": "139",
|
| 202 |
+
"Exeggcute": "148",
|
| 203 |
+
"Exeggutor": "52",
|
| 204 |
+
"Farfetchd": "40",
|
| 205 |
+
"Fearow": "101",
|
| 206 |
+
"Flareon": "142",
|
| 207 |
+
"Gastly": "71",
|
| 208 |
+
"Gengar": "51",
|
| 209 |
+
"Geodude": "55",
|
| 210 |
+
"Gloom": "140",
|
| 211 |
+
"Golbat": "0",
|
| 212 |
+
"Goldeen": "93",
|
| 213 |
+
"Golduck": "109",
|
| 214 |
+
"Golem": "8",
|
| 215 |
+
"Graveler": "75",
|
| 216 |
+
"Grimer": "59",
|
| 217 |
+
"Growlithe": "15",
|
| 218 |
+
"Gyarados": "108",
|
| 219 |
+
"Haunter": "116",
|
| 220 |
+
"Hitmonchan": "70",
|
| 221 |
+
"Hitmonlee": "111",
|
| 222 |
+
"Horsea": "129",
|
| 223 |
+
"Hypno": "144",
|
| 224 |
+
"Ivysaur": "14",
|
| 225 |
+
"Jigglypuff": "54",
|
| 226 |
+
"Jolteon": "97",
|
| 227 |
+
"Jynx": "68",
|
| 228 |
+
"Kabuto": "5",
|
| 229 |
+
"Kabutops": "120",
|
| 230 |
+
"Kadabra": "56",
|
| 231 |
+
"Kakuna": "43",
|
| 232 |
+
"Kangaskhan": "72",
|
| 233 |
+
"Kingler": "41",
|
| 234 |
+
"Koffing": "62",
|
| 235 |
+
"Krabby": "90",
|
| 236 |
+
"Lapras": "4",
|
| 237 |
+
"Lickitung": "23",
|
| 238 |
+
"Machamp": "110",
|
| 239 |
+
"Machoke": "1",
|
| 240 |
+
"Machop": "25",
|
| 241 |
+
"Magikarp": "34",
|
| 242 |
+
"Magmar": "86",
|
| 243 |
+
"Magnemite": "13",
|
| 244 |
+
"Magneton": "94",
|
| 245 |
+
"Mankey": "146",
|
| 246 |
+
"Marowak": "36",
|
| 247 |
+
"Meowth": "149",
|
| 248 |
+
"Metapod": "117",
|
| 249 |
+
"Mew": "124",
|
| 250 |
+
"Mewtwo": "39",
|
| 251 |
+
"Moltres": "84",
|
| 252 |
+
"MrMime": "60",
|
| 253 |
+
"Muk": "135",
|
| 254 |
+
"Nidoking": "98",
|
| 255 |
+
"Nidoqueen": "85",
|
| 256 |
+
"Nidorina": "57",
|
| 257 |
+
"Nidorino": "21",
|
| 258 |
+
"Ninetales": "121",
|
| 259 |
+
"Oddish": "73",
|
| 260 |
+
"Omanyte": "128",
|
| 261 |
+
"Omastar": "2",
|
| 262 |
+
"Onix": "87",
|
| 263 |
+
"Paras": "67",
|
| 264 |
+
"Parasect": "28",
|
| 265 |
+
"Persian": "6",
|
| 266 |
+
"Pidgeot": "20",
|
| 267 |
+
"Pidgeotto": "37",
|
| 268 |
+
"Pidgey": "61",
|
| 269 |
+
"Pikachu": "130",
|
| 270 |
+
"Pinsir": "125",
|
| 271 |
+
"Poliwag": "79",
|
| 272 |
+
"Poliwhirl": "141",
|
| 273 |
+
"Poliwrath": "50",
|
| 274 |
+
"Ponyta": "83",
|
| 275 |
+
"Porygon": "22",
|
| 276 |
+
"Primeape": "112",
|
| 277 |
+
"Psyduck": "32",
|
| 278 |
+
"Raichu": "10",
|
| 279 |
+
"Rapidash": "18",
|
| 280 |
+
"Raticate": "12",
|
| 281 |
+
"Rattata": "24",
|
| 282 |
+
"Rhydon": "123",
|
| 283 |
+
"Rhyhorn": "47",
|
| 284 |
+
"Sandshrew": "58",
|
| 285 |
+
"Sandslash": "114",
|
| 286 |
+
"Scyther": "115",
|
| 287 |
+
"Seadra": "134",
|
| 288 |
+
"Seaking": "143",
|
| 289 |
+
"Seel": "42",
|
| 290 |
+
"Shellder": "38",
|
| 291 |
+
"Slowbro": "27",
|
| 292 |
+
"Slowpoke": "102",
|
| 293 |
+
"Snorlax": "66",
|
| 294 |
+
"Spearow": "136",
|
| 295 |
+
"Squirtle": "81",
|
| 296 |
+
"Starmie": "30",
|
| 297 |
+
"Staryu": "31",
|
| 298 |
+
"Tangela": "16",
|
| 299 |
+
"Tauros": "48",
|
| 300 |
+
"Tentacool": "147",
|
| 301 |
+
"Tentacruel": "118",
|
| 302 |
+
"Vaporeon": "107",
|
| 303 |
+
"Venomoth": "132",
|
| 304 |
+
"Venonat": "19",
|
| 305 |
+
"Venusaur": "65",
|
| 306 |
+
"Victreebel": "127",
|
| 307 |
+
"Vileplume": "35",
|
| 308 |
+
"Voltorb": "82",
|
| 309 |
+
"Vulpix": "88",
|
| 310 |
+
"Wartortle": "145",
|
| 311 |
+
"Weedle": "105",
|
| 312 |
+
"Weepinbell": "7",
|
| 313 |
+
"Weezing": "103",
|
| 314 |
+
"Wigglytuff": "74",
|
| 315 |
+
"Zapdos": "11",
|
| 316 |
+
"Zubat": "122"
|
| 317 |
+
},
|
| 318 |
+
"layer_norm_eps": 1e-12,
|
| 319 |
+
"model_type": "vit",
|
| 320 |
+
"num_attention_heads": 12,
|
| 321 |
+
"num_channels": 3,
|
| 322 |
+
"num_hidden_layers": 12,
|
| 323 |
+
"patch_size": 16,
|
| 324 |
+
"problem_type": "single_label_classification",
|
| 325 |
+
"qkv_bias": true,
|
| 326 |
+
"torch_dtype": "float32",
|
| 327 |
+
"transformers_version": "4.36.0"
|
| 328 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c28dcaa2d2be8d4704cab165c677f25b4270b624587e7633ac36c7a5f8e892a8
|
| 3 |
+
size 343679232
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cc1d73444a304e94e5a3a83c6813d1158e4e90f52fc0bf7358b8a2e88e8b8664
|
| 3 |
+
size 687473786
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"do_normalize": true,
|
| 3 |
+
"do_rescale": true,
|
| 4 |
+
"do_resize": true,
|
| 5 |
+
"image_mean": [
|
| 6 |
+
0.5,
|
| 7 |
+
0.5,
|
| 8 |
+
0.5
|
| 9 |
+
],
|
| 10 |
+
"image_processor_type": "ViTImageProcessor",
|
| 11 |
+
"image_std": [
|
| 12 |
+
0.5,
|
| 13 |
+
0.5,
|
| 14 |
+
0.5
|
| 15 |
+
],
|
| 16 |
+
"resample": 2,
|
| 17 |
+
"rescale_factor": 0.00392156862745098,
|
| 18 |
+
"size": {
|
| 19 |
+
"height": 224,
|
| 20 |
+
"width": 224
|
| 21 |
+
}
|
| 22 |
+
}
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:871a2b0b3d0be54fee74343292af9b7281a3f77417a97c8b9e2b20f80e215aa5
|
| 3 |
+
size 13990
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7c855437d80306b6e4683c73fbc3bbe2978ddcaaa00039979af9c1a9e50f7f25
|
| 3 |
+
size 1064
|
trainer_state.json
ADDED
|
@@ -0,0 +1,861 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.9240393208221627,
|
| 3 |
+
"best_model_checkpoint": "pokemon_models\\checkpoint-1750",
|
| 4 |
+
"epoch": 28.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 1960,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.29,
|
| 13 |
+
"learning_rate": 5e-06,
|
| 14 |
+
"loss": 5.0145,
|
| 15 |
+
"step": 20
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.57,
|
| 19 |
+
"learning_rate": 1e-05,
|
| 20 |
+
"loss": 5.0039,
|
| 21 |
+
"step": 40
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.86,
|
| 25 |
+
"learning_rate": 1.5e-05,
|
| 26 |
+
"loss": 4.9942,
|
| 27 |
+
"step": 60
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 1.0,
|
| 31 |
+
"eval_accuracy": 0.01876675603217158,
|
| 32 |
+
"eval_loss": 4.973499298095703,
|
| 33 |
+
"eval_runtime": 102.0829,
|
| 34 |
+
"eval_samples_per_second": 10.962,
|
| 35 |
+
"eval_steps_per_second": 0.686,
|
| 36 |
+
"step": 70
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"epoch": 1.14,
|
| 40 |
+
"learning_rate": 2e-05,
|
| 41 |
+
"loss": 4.97,
|
| 42 |
+
"step": 80
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
+
"epoch": 1.43,
|
| 46 |
+
"learning_rate": 2.5e-05,
|
| 47 |
+
"loss": 4.9313,
|
| 48 |
+
"step": 100
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"epoch": 1.71,
|
| 52 |
+
"learning_rate": 3e-05,
|
| 53 |
+
"loss": 4.893,
|
| 54 |
+
"step": 120
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"epoch": 2.0,
|
| 58 |
+
"learning_rate": 3.5e-05,
|
| 59 |
+
"loss": 4.8374,
|
| 60 |
+
"step": 140
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 2.0,
|
| 64 |
+
"eval_accuracy": 0.20196604110813227,
|
| 65 |
+
"eval_loss": 4.816006660461426,
|
| 66 |
+
"eval_runtime": 124.2897,
|
| 67 |
+
"eval_samples_per_second": 9.003,
|
| 68 |
+
"eval_steps_per_second": 0.563,
|
| 69 |
+
"step": 140
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 2.29,
|
| 73 |
+
"learning_rate": 4e-05,
|
| 74 |
+
"loss": 4.7329,
|
| 75 |
+
"step": 160
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 2.57,
|
| 79 |
+
"learning_rate": 4.5e-05,
|
| 80 |
+
"loss": 4.6472,
|
| 81 |
+
"step": 180
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 2.86,
|
| 85 |
+
"learning_rate": 5e-05,
|
| 86 |
+
"loss": 4.541,
|
| 87 |
+
"step": 200
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 3.0,
|
| 91 |
+
"eval_accuracy": 0.5495978552278821,
|
| 92 |
+
"eval_loss": 4.4448018074035645,
|
| 93 |
+
"eval_runtime": 101.0357,
|
| 94 |
+
"eval_samples_per_second": 11.075,
|
| 95 |
+
"eval_steps_per_second": 0.693,
|
| 96 |
+
"step": 210
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"epoch": 3.14,
|
| 100 |
+
"learning_rate": 4.9444444444444446e-05,
|
| 101 |
+
"loss": 4.4117,
|
| 102 |
+
"step": 220
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"epoch": 3.43,
|
| 106 |
+
"learning_rate": 4.888888888888889e-05,
|
| 107 |
+
"loss": 4.2454,
|
| 108 |
+
"step": 240
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 3.71,
|
| 112 |
+
"learning_rate": 4.8333333333333334e-05,
|
| 113 |
+
"loss": 4.1227,
|
| 114 |
+
"step": 260
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 4.0,
|
| 118 |
+
"learning_rate": 4.7777777777777784e-05,
|
| 119 |
+
"loss": 4.0198,
|
| 120 |
+
"step": 280
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"epoch": 4.0,
|
| 124 |
+
"eval_accuracy": 0.7042001787310098,
|
| 125 |
+
"eval_loss": 4.0061211585998535,
|
| 126 |
+
"eval_runtime": 100.1956,
|
| 127 |
+
"eval_samples_per_second": 11.168,
|
| 128 |
+
"eval_steps_per_second": 0.699,
|
| 129 |
+
"step": 280
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 4.29,
|
| 133 |
+
"learning_rate": 4.722222222222222e-05,
|
| 134 |
+
"loss": 3.84,
|
| 135 |
+
"step": 300
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 4.57,
|
| 139 |
+
"learning_rate": 4.666666666666667e-05,
|
| 140 |
+
"loss": 3.757,
|
| 141 |
+
"step": 320
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 4.86,
|
| 145 |
+
"learning_rate": 4.6111111111111115e-05,
|
| 146 |
+
"loss": 3.6626,
|
| 147 |
+
"step": 340
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 5.0,
|
| 151 |
+
"eval_accuracy": 0.7605004468275246,
|
| 152 |
+
"eval_loss": 3.630556106567383,
|
| 153 |
+
"eval_runtime": 100.0509,
|
| 154 |
+
"eval_samples_per_second": 11.184,
|
| 155 |
+
"eval_steps_per_second": 0.7,
|
| 156 |
+
"step": 350
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 5.14,
|
| 160 |
+
"learning_rate": 4.555555555555556e-05,
|
| 161 |
+
"loss": 3.5477,
|
| 162 |
+
"step": 360
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"epoch": 5.43,
|
| 166 |
+
"learning_rate": 4.5e-05,
|
| 167 |
+
"loss": 3.3914,
|
| 168 |
+
"step": 380
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"epoch": 5.71,
|
| 172 |
+
"learning_rate": 4.4444444444444447e-05,
|
| 173 |
+
"loss": 3.3164,
|
| 174 |
+
"step": 400
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 6.0,
|
| 178 |
+
"learning_rate": 4.388888888888889e-05,
|
| 179 |
+
"loss": 3.2654,
|
| 180 |
+
"step": 420
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 6.0,
|
| 184 |
+
"eval_accuracy": 0.7971403038427167,
|
| 185 |
+
"eval_loss": 3.3061511516571045,
|
| 186 |
+
"eval_runtime": 99.8013,
|
| 187 |
+
"eval_samples_per_second": 11.212,
|
| 188 |
+
"eval_steps_per_second": 0.701,
|
| 189 |
+
"step": 420
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 6.29,
|
| 193 |
+
"learning_rate": 4.3333333333333334e-05,
|
| 194 |
+
"loss": 3.1041,
|
| 195 |
+
"step": 440
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 6.57,
|
| 199 |
+
"learning_rate": 4.277777777777778e-05,
|
| 200 |
+
"loss": 3.0193,
|
| 201 |
+
"step": 460
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 6.86,
|
| 205 |
+
"learning_rate": 4.222222222222222e-05,
|
| 206 |
+
"loss": 2.9314,
|
| 207 |
+
"step": 480
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 7.0,
|
| 211 |
+
"eval_accuracy": 0.8310991957104558,
|
| 212 |
+
"eval_loss": 2.994609832763672,
|
| 213 |
+
"eval_runtime": 106.5638,
|
| 214 |
+
"eval_samples_per_second": 10.501,
|
| 215 |
+
"eval_steps_per_second": 0.657,
|
| 216 |
+
"step": 490
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 7.14,
|
| 220 |
+
"learning_rate": 4.166666666666667e-05,
|
| 221 |
+
"loss": 2.871,
|
| 222 |
+
"step": 500
|
| 223 |
+
},
|
| 224 |
+
{
|
| 225 |
+
"epoch": 7.43,
|
| 226 |
+
"learning_rate": 4.111111111111111e-05,
|
| 227 |
+
"loss": 2.7418,
|
| 228 |
+
"step": 520
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"epoch": 7.71,
|
| 232 |
+
"learning_rate": 4.055555555555556e-05,
|
| 233 |
+
"loss": 2.6542,
|
| 234 |
+
"step": 540
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 8.0,
|
| 238 |
+
"learning_rate": 4e-05,
|
| 239 |
+
"loss": 2.5893,
|
| 240 |
+
"step": 560
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 8.0,
|
| 244 |
+
"eval_accuracy": 0.8507596067917784,
|
| 245 |
+
"eval_loss": 2.7318336963653564,
|
| 246 |
+
"eval_runtime": 125.4233,
|
| 247 |
+
"eval_samples_per_second": 8.922,
|
| 248 |
+
"eval_steps_per_second": 0.558,
|
| 249 |
+
"step": 560
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 8.29,
|
| 253 |
+
"learning_rate": 3.944444444444445e-05,
|
| 254 |
+
"loss": 2.5106,
|
| 255 |
+
"step": 580
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 8.57,
|
| 259 |
+
"learning_rate": 3.888888888888889e-05,
|
| 260 |
+
"loss": 2.4358,
|
| 261 |
+
"step": 600
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 8.86,
|
| 265 |
+
"learning_rate": 3.8333333333333334e-05,
|
| 266 |
+
"loss": 2.3645,
|
| 267 |
+
"step": 620
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 9.0,
|
| 271 |
+
"eval_accuracy": 0.8579088471849866,
|
| 272 |
+
"eval_loss": 2.4826338291168213,
|
| 273 |
+
"eval_runtime": 121.4568,
|
| 274 |
+
"eval_samples_per_second": 9.213,
|
| 275 |
+
"eval_steps_per_second": 0.576,
|
| 276 |
+
"step": 630
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 9.14,
|
| 280 |
+
"learning_rate": 3.777777777777778e-05,
|
| 281 |
+
"loss": 2.2831,
|
| 282 |
+
"step": 640
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 9.43,
|
| 286 |
+
"learning_rate": 3.722222222222222e-05,
|
| 287 |
+
"loss": 2.2297,
|
| 288 |
+
"step": 660
|
| 289 |
+
},
|
| 290 |
+
{
|
| 291 |
+
"epoch": 9.71,
|
| 292 |
+
"learning_rate": 3.6666666666666666e-05,
|
| 293 |
+
"loss": 2.1367,
|
| 294 |
+
"step": 680
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"epoch": 10.0,
|
| 298 |
+
"learning_rate": 3.611111111111111e-05,
|
| 299 |
+
"loss": 2.0793,
|
| 300 |
+
"step": 700
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"epoch": 10.0,
|
| 304 |
+
"eval_accuracy": 0.871313672922252,
|
| 305 |
+
"eval_loss": 2.245124578475952,
|
| 306 |
+
"eval_runtime": 122.6079,
|
| 307 |
+
"eval_samples_per_second": 9.127,
|
| 308 |
+
"eval_steps_per_second": 0.571,
|
| 309 |
+
"step": 700
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 10.29,
|
| 313 |
+
"learning_rate": 3.555555555555556e-05,
|
| 314 |
+
"loss": 1.9796,
|
| 315 |
+
"step": 720
|
| 316 |
+
},
|
| 317 |
+
{
|
| 318 |
+
"epoch": 10.57,
|
| 319 |
+
"learning_rate": 3.5e-05,
|
| 320 |
+
"loss": 1.9471,
|
| 321 |
+
"step": 740
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 10.86,
|
| 325 |
+
"learning_rate": 3.444444444444445e-05,
|
| 326 |
+
"loss": 1.8754,
|
| 327 |
+
"step": 760
|
| 328 |
+
},
|
| 329 |
+
{
|
| 330 |
+
"epoch": 11.0,
|
| 331 |
+
"eval_accuracy": 0.871313672922252,
|
| 332 |
+
"eval_loss": 2.060222625732422,
|
| 333 |
+
"eval_runtime": 122.2722,
|
| 334 |
+
"eval_samples_per_second": 9.152,
|
| 335 |
+
"eval_steps_per_second": 0.572,
|
| 336 |
+
"step": 770
|
| 337 |
+
},
|
| 338 |
+
{
|
| 339 |
+
"epoch": 11.14,
|
| 340 |
+
"learning_rate": 3.388888888888889e-05,
|
| 341 |
+
"loss": 1.8259,
|
| 342 |
+
"step": 780
|
| 343 |
+
},
|
| 344 |
+
{
|
| 345 |
+
"epoch": 11.43,
|
| 346 |
+
"learning_rate": 3.3333333333333335e-05,
|
| 347 |
+
"loss": 1.7872,
|
| 348 |
+
"step": 800
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"epoch": 11.71,
|
| 352 |
+
"learning_rate": 3.277777777777778e-05,
|
| 353 |
+
"loss": 1.6884,
|
| 354 |
+
"step": 820
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"epoch": 12.0,
|
| 358 |
+
"learning_rate": 3.222222222222223e-05,
|
| 359 |
+
"loss": 1.6703,
|
| 360 |
+
"step": 840
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 12.0,
|
| 364 |
+
"eval_accuracy": 0.8811438784629133,
|
| 365 |
+
"eval_loss": 1.872039556503296,
|
| 366 |
+
"eval_runtime": 98.0421,
|
| 367 |
+
"eval_samples_per_second": 11.413,
|
| 368 |
+
"eval_steps_per_second": 0.714,
|
| 369 |
+
"step": 840
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 12.29,
|
| 373 |
+
"learning_rate": 3.1666666666666666e-05,
|
| 374 |
+
"loss": 1.6003,
|
| 375 |
+
"step": 860
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 12.57,
|
| 379 |
+
"learning_rate": 3.111111111111111e-05,
|
| 380 |
+
"loss": 1.5433,
|
| 381 |
+
"step": 880
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 12.86,
|
| 385 |
+
"learning_rate": 3.055555555555556e-05,
|
| 386 |
+
"loss": 1.5198,
|
| 387 |
+
"step": 900
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 13.0,
|
| 391 |
+
"eval_accuracy": 0.8900804289544236,
|
| 392 |
+
"eval_loss": 1.7361352443695068,
|
| 393 |
+
"eval_runtime": 97.0673,
|
| 394 |
+
"eval_samples_per_second": 11.528,
|
| 395 |
+
"eval_steps_per_second": 0.721,
|
| 396 |
+
"step": 910
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 13.14,
|
| 400 |
+
"learning_rate": 3e-05,
|
| 401 |
+
"loss": 1.4742,
|
| 402 |
+
"step": 920
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 13.43,
|
| 406 |
+
"learning_rate": 2.9444444444444448e-05,
|
| 407 |
+
"loss": 1.3876,
|
| 408 |
+
"step": 940
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 13.71,
|
| 412 |
+
"learning_rate": 2.8888888888888888e-05,
|
| 413 |
+
"loss": 1.3603,
|
| 414 |
+
"step": 960
|
| 415 |
+
},
|
| 416 |
+
{
|
| 417 |
+
"epoch": 14.0,
|
| 418 |
+
"learning_rate": 2.8333333333333335e-05,
|
| 419 |
+
"loss": 1.329,
|
| 420 |
+
"step": 980
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"epoch": 14.0,
|
| 424 |
+
"eval_accuracy": 0.900804289544236,
|
| 425 |
+
"eval_loss": 1.563855528831482,
|
| 426 |
+
"eval_runtime": 97.4399,
|
| 427 |
+
"eval_samples_per_second": 11.484,
|
| 428 |
+
"eval_steps_per_second": 0.718,
|
| 429 |
+
"step": 980
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 14.29,
|
| 433 |
+
"learning_rate": 2.777777777777778e-05,
|
| 434 |
+
"loss": 1.2523,
|
| 435 |
+
"step": 1000
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 14.57,
|
| 439 |
+
"learning_rate": 2.7222222222222223e-05,
|
| 440 |
+
"loss": 1.2747,
|
| 441 |
+
"step": 1020
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 14.86,
|
| 445 |
+
"learning_rate": 2.6666666666666667e-05,
|
| 446 |
+
"loss": 1.203,
|
| 447 |
+
"step": 1040
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
"epoch": 15.0,
|
| 451 |
+
"eval_accuracy": 0.8927613941018767,
|
| 452 |
+
"eval_loss": 1.4685680866241455,
|
| 453 |
+
"eval_runtime": 96.9819,
|
| 454 |
+
"eval_samples_per_second": 11.538,
|
| 455 |
+
"eval_steps_per_second": 0.722,
|
| 456 |
+
"step": 1050
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"epoch": 15.14,
|
| 460 |
+
"learning_rate": 2.6111111111111114e-05,
|
| 461 |
+
"loss": 1.1697,
|
| 462 |
+
"step": 1060
|
| 463 |
+
},
|
| 464 |
+
{
|
| 465 |
+
"epoch": 15.43,
|
| 466 |
+
"learning_rate": 2.5555555555555554e-05,
|
| 467 |
+
"loss": 1.0943,
|
| 468 |
+
"step": 1080
|
| 469 |
+
},
|
| 470 |
+
{
|
| 471 |
+
"epoch": 15.71,
|
| 472 |
+
"learning_rate": 2.5e-05,
|
| 473 |
+
"loss": 1.0947,
|
| 474 |
+
"step": 1100
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 16.0,
|
| 478 |
+
"learning_rate": 2.4444444444444445e-05,
|
| 479 |
+
"loss": 1.104,
|
| 480 |
+
"step": 1120
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 16.0,
|
| 484 |
+
"eval_accuracy": 0.8981233243967829,
|
| 485 |
+
"eval_loss": 1.3596620559692383,
|
| 486 |
+
"eval_runtime": 97.1177,
|
| 487 |
+
"eval_samples_per_second": 11.522,
|
| 488 |
+
"eval_steps_per_second": 0.721,
|
| 489 |
+
"step": 1120
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 16.29,
|
| 493 |
+
"learning_rate": 2.3888888888888892e-05,
|
| 494 |
+
"loss": 1.0113,
|
| 495 |
+
"step": 1140
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 16.57,
|
| 499 |
+
"learning_rate": 2.3333333333333336e-05,
|
| 500 |
+
"loss": 1.0285,
|
| 501 |
+
"step": 1160
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 16.86,
|
| 505 |
+
"learning_rate": 2.277777777777778e-05,
|
| 506 |
+
"loss": 0.9682,
|
| 507 |
+
"step": 1180
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 17.0,
|
| 511 |
+
"eval_accuracy": 0.8990169794459338,
|
| 512 |
+
"eval_loss": 1.2199994325637817,
|
| 513 |
+
"eval_runtime": 486.7671,
|
| 514 |
+
"eval_samples_per_second": 2.299,
|
| 515 |
+
"eval_steps_per_second": 0.144,
|
| 516 |
+
"step": 1190
|
| 517 |
+
},
|
| 518 |
+
{
|
| 519 |
+
"epoch": 17.14,
|
| 520 |
+
"learning_rate": 2.2222222222222223e-05,
|
| 521 |
+
"loss": 0.9578,
|
| 522 |
+
"step": 1200
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 17.43,
|
| 526 |
+
"learning_rate": 2.1666666666666667e-05,
|
| 527 |
+
"loss": 0.9403,
|
| 528 |
+
"step": 1220
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 17.71,
|
| 532 |
+
"learning_rate": 2.111111111111111e-05,
|
| 533 |
+
"loss": 0.8924,
|
| 534 |
+
"step": 1240
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 18.0,
|
| 538 |
+
"learning_rate": 2.0555555555555555e-05,
|
| 539 |
+
"loss": 0.872,
|
| 540 |
+
"step": 1260
|
| 541 |
+
},
|
| 542 |
+
{
|
| 543 |
+
"epoch": 18.0,
|
| 544 |
+
"eval_accuracy": 0.903485254691689,
|
| 545 |
+
"eval_loss": 1.1389293670654297,
|
| 546 |
+
"eval_runtime": 110.8112,
|
| 547 |
+
"eval_samples_per_second": 10.098,
|
| 548 |
+
"eval_steps_per_second": 0.632,
|
| 549 |
+
"step": 1260
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 18.29,
|
| 553 |
+
"learning_rate": 2e-05,
|
| 554 |
+
"loss": 0.8312,
|
| 555 |
+
"step": 1280
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 18.57,
|
| 559 |
+
"learning_rate": 1.9444444444444445e-05,
|
| 560 |
+
"loss": 0.8201,
|
| 561 |
+
"step": 1300
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"epoch": 18.86,
|
| 565 |
+
"learning_rate": 1.888888888888889e-05,
|
| 566 |
+
"loss": 0.844,
|
| 567 |
+
"step": 1320
|
| 568 |
+
},
|
| 569 |
+
{
|
| 570 |
+
"epoch": 19.0,
|
| 571 |
+
"eval_accuracy": 0.9124218051831993,
|
| 572 |
+
"eval_loss": 1.0643764734268188,
|
| 573 |
+
"eval_runtime": 109.2391,
|
| 574 |
+
"eval_samples_per_second": 10.244,
|
| 575 |
+
"eval_steps_per_second": 0.641,
|
| 576 |
+
"step": 1330
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 19.14,
|
| 580 |
+
"learning_rate": 1.8333333333333333e-05,
|
| 581 |
+
"loss": 0.8116,
|
| 582 |
+
"step": 1340
|
| 583 |
+
},
|
| 584 |
+
{
|
| 585 |
+
"epoch": 19.43,
|
| 586 |
+
"learning_rate": 1.777777777777778e-05,
|
| 587 |
+
"loss": 0.7649,
|
| 588 |
+
"step": 1360
|
| 589 |
+
},
|
| 590 |
+
{
|
| 591 |
+
"epoch": 19.71,
|
| 592 |
+
"learning_rate": 1.7222222222222224e-05,
|
| 593 |
+
"loss": 0.7402,
|
| 594 |
+
"step": 1380
|
| 595 |
+
},
|
| 596 |
+
{
|
| 597 |
+
"epoch": 20.0,
|
| 598 |
+
"learning_rate": 1.6666666666666667e-05,
|
| 599 |
+
"loss": 0.7605,
|
| 600 |
+
"step": 1400
|
| 601 |
+
},
|
| 602 |
+
{
|
| 603 |
+
"epoch": 20.0,
|
| 604 |
+
"eval_accuracy": 0.9088471849865952,
|
| 605 |
+
"eval_loss": 1.0364218950271606,
|
| 606 |
+
"eval_runtime": 108.8495,
|
| 607 |
+
"eval_samples_per_second": 10.28,
|
| 608 |
+
"eval_steps_per_second": 0.643,
|
| 609 |
+
"step": 1400
|
| 610 |
+
},
|
| 611 |
+
{
|
| 612 |
+
"epoch": 20.29,
|
| 613 |
+
"learning_rate": 1.6111111111111115e-05,
|
| 614 |
+
"loss": 0.7156,
|
| 615 |
+
"step": 1420
|
| 616 |
+
},
|
| 617 |
+
{
|
| 618 |
+
"epoch": 20.57,
|
| 619 |
+
"learning_rate": 1.5555555555555555e-05,
|
| 620 |
+
"loss": 0.7109,
|
| 621 |
+
"step": 1440
|
| 622 |
+
},
|
| 623 |
+
{
|
| 624 |
+
"epoch": 20.86,
|
| 625 |
+
"learning_rate": 1.5e-05,
|
| 626 |
+
"loss": 0.7244,
|
| 627 |
+
"step": 1460
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 21.0,
|
| 631 |
+
"eval_accuracy": 0.902591599642538,
|
| 632 |
+
"eval_loss": 0.9655722379684448,
|
| 633 |
+
"eval_runtime": 106.989,
|
| 634 |
+
"eval_samples_per_second": 10.459,
|
| 635 |
+
"eval_steps_per_second": 0.654,
|
| 636 |
+
"step": 1470
|
| 637 |
+
},
|
| 638 |
+
{
|
| 639 |
+
"epoch": 21.14,
|
| 640 |
+
"learning_rate": 1.4444444444444444e-05,
|
| 641 |
+
"loss": 0.6925,
|
| 642 |
+
"step": 1480
|
| 643 |
+
},
|
| 644 |
+
{
|
| 645 |
+
"epoch": 21.43,
|
| 646 |
+
"learning_rate": 1.388888888888889e-05,
|
| 647 |
+
"loss": 0.6687,
|
| 648 |
+
"step": 1500
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 21.71,
|
| 652 |
+
"learning_rate": 1.3333333333333333e-05,
|
| 653 |
+
"loss": 0.658,
|
| 654 |
+
"step": 1520
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 22.0,
|
| 658 |
+
"learning_rate": 1.2777777777777777e-05,
|
| 659 |
+
"loss": 0.6595,
|
| 660 |
+
"step": 1540
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 22.0,
|
| 664 |
+
"eval_accuracy": 0.9133154602323503,
|
| 665 |
+
"eval_loss": 0.9125866889953613,
|
| 666 |
+
"eval_runtime": 106.9609,
|
| 667 |
+
"eval_samples_per_second": 10.462,
|
| 668 |
+
"eval_steps_per_second": 0.654,
|
| 669 |
+
"step": 1540
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 22.29,
|
| 673 |
+
"learning_rate": 1.2222222222222222e-05,
|
| 674 |
+
"loss": 0.6489,
|
| 675 |
+
"step": 1560
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 22.57,
|
| 679 |
+
"learning_rate": 1.1666666666666668e-05,
|
| 680 |
+
"loss": 0.6666,
|
| 681 |
+
"step": 1580
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 22.86,
|
| 685 |
+
"learning_rate": 1.1111111111111112e-05,
|
| 686 |
+
"loss": 0.6188,
|
| 687 |
+
"step": 1600
|
| 688 |
+
},
|
| 689 |
+
{
|
| 690 |
+
"epoch": 23.0,
|
| 691 |
+
"eval_accuracy": 0.9142091152815014,
|
| 692 |
+
"eval_loss": 0.8716733455657959,
|
| 693 |
+
"eval_runtime": 107.8489,
|
| 694 |
+
"eval_samples_per_second": 10.376,
|
| 695 |
+
"eval_steps_per_second": 0.649,
|
| 696 |
+
"step": 1610
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 23.14,
|
| 700 |
+
"learning_rate": 1.0555555555555555e-05,
|
| 701 |
+
"loss": 0.5869,
|
| 702 |
+
"step": 1620
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 23.43,
|
| 706 |
+
"learning_rate": 1e-05,
|
| 707 |
+
"loss": 0.5809,
|
| 708 |
+
"step": 1640
|
| 709 |
+
},
|
| 710 |
+
{
|
| 711 |
+
"epoch": 23.71,
|
| 712 |
+
"learning_rate": 9.444444444444445e-06,
|
| 713 |
+
"loss": 0.5972,
|
| 714 |
+
"step": 1660
|
| 715 |
+
},
|
| 716 |
+
{
|
| 717 |
+
"epoch": 24.0,
|
| 718 |
+
"learning_rate": 8.88888888888889e-06,
|
| 719 |
+
"loss": 0.5726,
|
| 720 |
+
"step": 1680
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"epoch": 24.0,
|
| 724 |
+
"eval_accuracy": 0.9186773905272565,
|
| 725 |
+
"eval_loss": 0.8351905345916748,
|
| 726 |
+
"eval_runtime": 109.1081,
|
| 727 |
+
"eval_samples_per_second": 10.256,
|
| 728 |
+
"eval_steps_per_second": 0.642,
|
| 729 |
+
"step": 1680
|
| 730 |
+
},
|
| 731 |
+
{
|
| 732 |
+
"epoch": 24.29,
|
| 733 |
+
"learning_rate": 8.333333333333334e-06,
|
| 734 |
+
"loss": 0.5562,
|
| 735 |
+
"step": 1700
|
| 736 |
+
},
|
| 737 |
+
{
|
| 738 |
+
"epoch": 24.57,
|
| 739 |
+
"learning_rate": 7.777777777777777e-06,
|
| 740 |
+
"loss": 0.5687,
|
| 741 |
+
"step": 1720
|
| 742 |
+
},
|
| 743 |
+
{
|
| 744 |
+
"epoch": 24.86,
|
| 745 |
+
"learning_rate": 7.222222222222222e-06,
|
| 746 |
+
"loss": 0.5418,
|
| 747 |
+
"step": 1740
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"epoch": 25.0,
|
| 751 |
+
"eval_accuracy": 0.9240393208221627,
|
| 752 |
+
"eval_loss": 0.8053392767906189,
|
| 753 |
+
"eval_runtime": 111.5634,
|
| 754 |
+
"eval_samples_per_second": 10.03,
|
| 755 |
+
"eval_steps_per_second": 0.627,
|
| 756 |
+
"step": 1750
|
| 757 |
+
},
|
| 758 |
+
{
|
| 759 |
+
"epoch": 25.14,
|
| 760 |
+
"learning_rate": 6.666666666666667e-06,
|
| 761 |
+
"loss": 0.5496,
|
| 762 |
+
"step": 1760
|
| 763 |
+
},
|
| 764 |
+
{
|
| 765 |
+
"epoch": 25.43,
|
| 766 |
+
"learning_rate": 6.111111111111111e-06,
|
| 767 |
+
"loss": 0.5354,
|
| 768 |
+
"step": 1780
|
| 769 |
+
},
|
| 770 |
+
{
|
| 771 |
+
"epoch": 25.71,
|
| 772 |
+
"learning_rate": 5.555555555555556e-06,
|
| 773 |
+
"loss": 0.5564,
|
| 774 |
+
"step": 1800
|
| 775 |
+
},
|
| 776 |
+
{
|
| 777 |
+
"epoch": 26.0,
|
| 778 |
+
"learning_rate": 5e-06,
|
| 779 |
+
"loss": 0.579,
|
| 780 |
+
"step": 1820
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 26.0,
|
| 784 |
+
"eval_accuracy": 0.9151027703306523,
|
| 785 |
+
"eval_loss": 0.8136078119277954,
|
| 786 |
+
"eval_runtime": 105.9237,
|
| 787 |
+
"eval_samples_per_second": 10.564,
|
| 788 |
+
"eval_steps_per_second": 0.661,
|
| 789 |
+
"step": 1820
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 26.29,
|
| 793 |
+
"learning_rate": 4.444444444444445e-06,
|
| 794 |
+
"loss": 0.5322,
|
| 795 |
+
"step": 1840
|
| 796 |
+
},
|
| 797 |
+
{
|
| 798 |
+
"epoch": 26.57,
|
| 799 |
+
"learning_rate": 3.888888888888889e-06,
|
| 800 |
+
"loss": 0.5529,
|
| 801 |
+
"step": 1860
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 26.86,
|
| 805 |
+
"learning_rate": 3.3333333333333333e-06,
|
| 806 |
+
"loss": 0.5077,
|
| 807 |
+
"step": 1880
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 27.0,
|
| 811 |
+
"eval_accuracy": 0.9168900804289544,
|
| 812 |
+
"eval_loss": 0.7921976447105408,
|
| 813 |
+
"eval_runtime": 105.3647,
|
| 814 |
+
"eval_samples_per_second": 10.62,
|
| 815 |
+
"eval_steps_per_second": 0.664,
|
| 816 |
+
"step": 1890
|
| 817 |
+
},
|
| 818 |
+
{
|
| 819 |
+
"epoch": 27.14,
|
| 820 |
+
"learning_rate": 2.777777777777778e-06,
|
| 821 |
+
"loss": 0.5443,
|
| 822 |
+
"step": 1900
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 27.43,
|
| 826 |
+
"learning_rate": 2.2222222222222225e-06,
|
| 827 |
+
"loss": 0.5181,
|
| 828 |
+
"step": 1920
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 27.71,
|
| 832 |
+
"learning_rate": 1.6666666666666667e-06,
|
| 833 |
+
"loss": 0.5318,
|
| 834 |
+
"step": 1940
|
| 835 |
+
},
|
| 836 |
+
{
|
| 837 |
+
"epoch": 28.0,
|
| 838 |
+
"learning_rate": 1.1111111111111112e-06,
|
| 839 |
+
"loss": 0.5138,
|
| 840 |
+
"step": 1960
|
| 841 |
+
},
|
| 842 |
+
{
|
| 843 |
+
"epoch": 28.0,
|
| 844 |
+
"eval_accuracy": 0.9133154602323503,
|
| 845 |
+
"eval_loss": 0.7894989252090454,
|
| 846 |
+
"eval_runtime": 107.1689,
|
| 847 |
+
"eval_samples_per_second": 10.441,
|
| 848 |
+
"eval_steps_per_second": 0.653,
|
| 849 |
+
"step": 1960
|
| 850 |
+
}
|
| 851 |
+
],
|
| 852 |
+
"logging_steps": 20,
|
| 853 |
+
"max_steps": 2000,
|
| 854 |
+
"num_input_tokens_seen": 0,
|
| 855 |
+
"num_train_epochs": 29,
|
| 856 |
+
"save_steps": 500,
|
| 857 |
+
"total_flos": 9.718280747932926e+18,
|
| 858 |
+
"train_batch_size": 16,
|
| 859 |
+
"trial_name": null,
|
| 860 |
+
"trial_params": null
|
| 861 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e14f0f49e329a54d9c09dad07e5dc67202bf2d77c30c5b085b61482dc7ee342b
|
| 3 |
+
size 4728
|