Dai Dai commited on
Commit ·
be3f3a4
1
Parent(s): 828f5bf
upload files
Browse files- README.md +1 -3
- config.json +23 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- trainer_state.json +446 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
CHANGED
|
@@ -1,3 +1 @@
|
|
| 1 |
-
---
|
| 2 |
-
license: cc-by-4.0
|
| 3 |
-
---
|
|
|
|
| 1 |
+
cp /home/gdpr/Desktop/Experiments/2021-06/19-01-roberta-lm-mimic/mimic128-4gpu/checkpoint-36000/* ./
|
|
|
|
|
|
config.json
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"RobertaForMaskedLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_probs_dropout_prob": 0.1,
|
| 6 |
+
"bos_token_id": 0,
|
| 7 |
+
"eos_token_id": 2,
|
| 8 |
+
"gradient_checkpointing": false,
|
| 9 |
+
"hidden_act": "gelu",
|
| 10 |
+
"hidden_dropout_prob": 0.1,
|
| 11 |
+
"hidden_size": 768,
|
| 12 |
+
"initializer_range": 0.02,
|
| 13 |
+
"intermediate_size": 3072,
|
| 14 |
+
"layer_norm_eps": 1e-05,
|
| 15 |
+
"max_position_embeddings": 514,
|
| 16 |
+
"model_type": "roberta",
|
| 17 |
+
"num_attention_heads": 12,
|
| 18 |
+
"num_hidden_layers": 12,
|
| 19 |
+
"pad_token_id": 1,
|
| 20 |
+
"position_embedding_type": "absolute",
|
| 21 |
+
"type_vocab_size": 1,
|
| 22 |
+
"vocab_size": 50265
|
| 23 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4a019a009316fbacb661a83355e54e730202129f54e88fd2f01e962c3e36f12f
|
| 3 |
+
size 498880850
|
trainer_state.json
ADDED
|
@@ -0,0 +1,446 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_metric_at_epoch": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 14.598540145985401,
|
| 6 |
+
"global_step": 36000,
|
| 7 |
+
"latest_metric": null,
|
| 8 |
+
"log_history": [
|
| 9 |
+
{
|
| 10 |
+
"epoch": 0.2,
|
| 11 |
+
"learning_rate": 4.9324141659908085e-05,
|
| 12 |
+
"loss": 1.7428,
|
| 13 |
+
"step": 500
|
| 14 |
+
},
|
| 15 |
+
{
|
| 16 |
+
"epoch": 0.41,
|
| 17 |
+
"learning_rate": 4.864828331981617e-05,
|
| 18 |
+
"loss": 1.2225,
|
| 19 |
+
"step": 1000
|
| 20 |
+
},
|
| 21 |
+
{
|
| 22 |
+
"epoch": 0.61,
|
| 23 |
+
"learning_rate": 4.797242497972425e-05,
|
| 24 |
+
"loss": 1.0975,
|
| 25 |
+
"step": 1500
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"epoch": 0.81,
|
| 29 |
+
"learning_rate": 4.729656663963233e-05,
|
| 30 |
+
"loss": 1.0237,
|
| 31 |
+
"step": 2000
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 1.01,
|
| 35 |
+
"learning_rate": 4.6620708299540416e-05,
|
| 36 |
+
"loss": 0.9755,
|
| 37 |
+
"step": 2500
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 1.22,
|
| 41 |
+
"learning_rate": 4.59448499594485e-05,
|
| 42 |
+
"loss": 0.9379,
|
| 43 |
+
"step": 3000
|
| 44 |
+
},
|
| 45 |
+
{
|
| 46 |
+
"epoch": 1.42,
|
| 47 |
+
"learning_rate": 4.526899161935659e-05,
|
| 48 |
+
"loss": 0.9069,
|
| 49 |
+
"step": 3500
|
| 50 |
+
},
|
| 51 |
+
{
|
| 52 |
+
"epoch": 1.62,
|
| 53 |
+
"learning_rate": 4.459313327926467e-05,
|
| 54 |
+
"loss": 0.882,
|
| 55 |
+
"step": 4000
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"epoch": 1.82,
|
| 59 |
+
"learning_rate": 4.3917274939172754e-05,
|
| 60 |
+
"loss": 0.8649,
|
| 61 |
+
"step": 4500
|
| 62 |
+
},
|
| 63 |
+
{
|
| 64 |
+
"epoch": 2.03,
|
| 65 |
+
"learning_rate": 4.3241416599080836e-05,
|
| 66 |
+
"loss": 0.8487,
|
| 67 |
+
"step": 5000
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"epoch": 2.23,
|
| 71 |
+
"learning_rate": 4.256555825898892e-05,
|
| 72 |
+
"loss": 0.8321,
|
| 73 |
+
"step": 5500
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 2.43,
|
| 77 |
+
"learning_rate": 4.1889699918897e-05,
|
| 78 |
+
"loss": 0.818,
|
| 79 |
+
"step": 6000
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 2.64,
|
| 83 |
+
"learning_rate": 4.1213841578805084e-05,
|
| 84 |
+
"loss": 0.8052,
|
| 85 |
+
"step": 6500
|
| 86 |
+
},
|
| 87 |
+
{
|
| 88 |
+
"epoch": 2.84,
|
| 89 |
+
"learning_rate": 4.053798323871317e-05,
|
| 90 |
+
"loss": 0.7936,
|
| 91 |
+
"step": 7000
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"epoch": 3.04,
|
| 95 |
+
"learning_rate": 3.986212489862125e-05,
|
| 96 |
+
"loss": 0.7868,
|
| 97 |
+
"step": 7500
|
| 98 |
+
},
|
| 99 |
+
{
|
| 100 |
+
"epoch": 3.24,
|
| 101 |
+
"learning_rate": 3.918626655852933e-05,
|
| 102 |
+
"loss": 0.7777,
|
| 103 |
+
"step": 8000
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"epoch": 3.45,
|
| 107 |
+
"learning_rate": 3.8510408218437415e-05,
|
| 108 |
+
"loss": 0.7685,
|
| 109 |
+
"step": 8500
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"epoch": 3.65,
|
| 113 |
+
"learning_rate": 3.78345498783455e-05,
|
| 114 |
+
"loss": 0.7632,
|
| 115 |
+
"step": 9000
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 3.85,
|
| 119 |
+
"learning_rate": 3.715869153825358e-05,
|
| 120 |
+
"loss": 0.754,
|
| 121 |
+
"step": 9500
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 4.06,
|
| 125 |
+
"learning_rate": 3.648283319816166e-05,
|
| 126 |
+
"loss": 0.7486,
|
| 127 |
+
"step": 10000
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"epoch": 4.26,
|
| 131 |
+
"learning_rate": 3.580697485806975e-05,
|
| 132 |
+
"loss": 0.742,
|
| 133 |
+
"step": 10500
|
| 134 |
+
},
|
| 135 |
+
{
|
| 136 |
+
"epoch": 4.46,
|
| 137 |
+
"learning_rate": 3.5131116517977835e-05,
|
| 138 |
+
"loss": 0.7353,
|
| 139 |
+
"step": 11000
|
| 140 |
+
},
|
| 141 |
+
{
|
| 142 |
+
"epoch": 4.66,
|
| 143 |
+
"learning_rate": 3.445525817788592e-05,
|
| 144 |
+
"loss": 0.7304,
|
| 145 |
+
"step": 11500
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"epoch": 4.87,
|
| 149 |
+
"learning_rate": 3.3779399837794e-05,
|
| 150 |
+
"loss": 0.7271,
|
| 151 |
+
"step": 12000
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"epoch": 5.07,
|
| 155 |
+
"learning_rate": 3.3103541497702084e-05,
|
| 156 |
+
"loss": 0.7213,
|
| 157 |
+
"step": 12500
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 5.27,
|
| 161 |
+
"learning_rate": 3.2427683157610166e-05,
|
| 162 |
+
"loss": 0.7156,
|
| 163 |
+
"step": 13000
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 5.47,
|
| 167 |
+
"learning_rate": 3.175182481751825e-05,
|
| 168 |
+
"loss": 0.7111,
|
| 169 |
+
"step": 13500
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"epoch": 5.68,
|
| 173 |
+
"learning_rate": 3.107596647742633e-05,
|
| 174 |
+
"loss": 0.7087,
|
| 175 |
+
"step": 14000
|
| 176 |
+
},
|
| 177 |
+
{
|
| 178 |
+
"epoch": 5.88,
|
| 179 |
+
"learning_rate": 3.0400108137334414e-05,
|
| 180 |
+
"loss": 0.7067,
|
| 181 |
+
"step": 14500
|
| 182 |
+
},
|
| 183 |
+
{
|
| 184 |
+
"epoch": 6.08,
|
| 185 |
+
"learning_rate": 2.9724249797242497e-05,
|
| 186 |
+
"loss": 0.7015,
|
| 187 |
+
"step": 15000
|
| 188 |
+
},
|
| 189 |
+
{
|
| 190 |
+
"epoch": 6.29,
|
| 191 |
+
"learning_rate": 2.904839145715058e-05,
|
| 192 |
+
"loss": 0.6951,
|
| 193 |
+
"step": 15500
|
| 194 |
+
},
|
| 195 |
+
{
|
| 196 |
+
"epoch": 6.49,
|
| 197 |
+
"learning_rate": 2.8372533117058663e-05,
|
| 198 |
+
"loss": 0.6922,
|
| 199 |
+
"step": 16000
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 6.69,
|
| 203 |
+
"learning_rate": 2.7696674776966745e-05,
|
| 204 |
+
"loss": 0.6917,
|
| 205 |
+
"step": 16500
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 6.89,
|
| 209 |
+
"learning_rate": 2.7020816436874835e-05,
|
| 210 |
+
"loss": 0.6869,
|
| 211 |
+
"step": 17000
|
| 212 |
+
},
|
| 213 |
+
{
|
| 214 |
+
"epoch": 7.1,
|
| 215 |
+
"learning_rate": 2.6344958096782917e-05,
|
| 216 |
+
"loss": 0.6834,
|
| 217 |
+
"step": 17500
|
| 218 |
+
},
|
| 219 |
+
{
|
| 220 |
+
"epoch": 7.3,
|
| 221 |
+
"learning_rate": 2.5669099756691e-05,
|
| 222 |
+
"loss": 0.6819,
|
| 223 |
+
"step": 18000
|
| 224 |
+
},
|
| 225 |
+
{
|
| 226 |
+
"epoch": 7.5,
|
| 227 |
+
"learning_rate": 2.499324141659908e-05,
|
| 228 |
+
"loss": 0.6801,
|
| 229 |
+
"step": 18500
|
| 230 |
+
},
|
| 231 |
+
{
|
| 232 |
+
"epoch": 7.7,
|
| 233 |
+
"learning_rate": 2.4317383076507166e-05,
|
| 234 |
+
"loss": 0.6755,
|
| 235 |
+
"step": 19000
|
| 236 |
+
},
|
| 237 |
+
{
|
| 238 |
+
"epoch": 7.91,
|
| 239 |
+
"learning_rate": 2.3641524736415248e-05,
|
| 240 |
+
"loss": 0.6734,
|
| 241 |
+
"step": 19500
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 8.11,
|
| 245 |
+
"learning_rate": 2.296566639632333e-05,
|
| 246 |
+
"loss": 0.6706,
|
| 247 |
+
"step": 20000
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 8.31,
|
| 251 |
+
"learning_rate": 2.2289808056231414e-05,
|
| 252 |
+
"loss": 0.6688,
|
| 253 |
+
"step": 20500
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"epoch": 8.52,
|
| 257 |
+
"learning_rate": 2.1613949716139496e-05,
|
| 258 |
+
"loss": 0.6662,
|
| 259 |
+
"step": 21000
|
| 260 |
+
},
|
| 261 |
+
{
|
| 262 |
+
"epoch": 8.72,
|
| 263 |
+
"learning_rate": 2.093809137604758e-05,
|
| 264 |
+
"loss": 0.6636,
|
| 265 |
+
"step": 21500
|
| 266 |
+
},
|
| 267 |
+
{
|
| 268 |
+
"epoch": 8.92,
|
| 269 |
+
"learning_rate": 2.0262233035955662e-05,
|
| 270 |
+
"loss": 0.6622,
|
| 271 |
+
"step": 22000
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"epoch": 9.12,
|
| 275 |
+
"learning_rate": 1.9586374695863748e-05,
|
| 276 |
+
"loss": 0.6593,
|
| 277 |
+
"step": 22500
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"epoch": 9.33,
|
| 281 |
+
"learning_rate": 1.891051635577183e-05,
|
| 282 |
+
"loss": 0.6568,
|
| 283 |
+
"step": 23000
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 9.53,
|
| 287 |
+
"learning_rate": 1.8234658015679913e-05,
|
| 288 |
+
"loss": 0.6563,
|
| 289 |
+
"step": 23500
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 9.73,
|
| 293 |
+
"learning_rate": 1.7558799675587996e-05,
|
| 294 |
+
"loss": 0.6542,
|
| 295 |
+
"step": 24000
|
| 296 |
+
},
|
| 297 |
+
{
|
| 298 |
+
"epoch": 9.94,
|
| 299 |
+
"learning_rate": 1.688294133549608e-05,
|
| 300 |
+
"loss": 0.6535,
|
| 301 |
+
"step": 24500
|
| 302 |
+
},
|
| 303 |
+
{
|
| 304 |
+
"epoch": 10.14,
|
| 305 |
+
"learning_rate": 1.620708299540416e-05,
|
| 306 |
+
"loss": 0.6486,
|
| 307 |
+
"step": 25000
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"epoch": 10.34,
|
| 311 |
+
"learning_rate": 1.5531224655312247e-05,
|
| 312 |
+
"loss": 0.6485,
|
| 313 |
+
"step": 25500
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"epoch": 10.54,
|
| 317 |
+
"learning_rate": 1.4855366315220332e-05,
|
| 318 |
+
"loss": 0.6474,
|
| 319 |
+
"step": 26000
|
| 320 |
+
},
|
| 321 |
+
{
|
| 322 |
+
"epoch": 10.75,
|
| 323 |
+
"learning_rate": 1.4179507975128415e-05,
|
| 324 |
+
"loss": 0.647,
|
| 325 |
+
"step": 26500
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 10.95,
|
| 329 |
+
"learning_rate": 1.3503649635036497e-05,
|
| 330 |
+
"loss": 0.6451,
|
| 331 |
+
"step": 27000
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 11.15,
|
| 335 |
+
"learning_rate": 1.282779129494458e-05,
|
| 336 |
+
"loss": 0.6426,
|
| 337 |
+
"step": 27500
|
| 338 |
+
},
|
| 339 |
+
{
|
| 340 |
+
"epoch": 11.35,
|
| 341 |
+
"learning_rate": 1.2151932954852663e-05,
|
| 342 |
+
"loss": 0.6431,
|
| 343 |
+
"step": 28000
|
| 344 |
+
},
|
| 345 |
+
{
|
| 346 |
+
"epoch": 11.56,
|
| 347 |
+
"learning_rate": 1.1476074614760747e-05,
|
| 348 |
+
"loss": 0.641,
|
| 349 |
+
"step": 28500
|
| 350 |
+
},
|
| 351 |
+
{
|
| 352 |
+
"epoch": 11.76,
|
| 353 |
+
"learning_rate": 1.080021627466883e-05,
|
| 354 |
+
"loss": 0.6414,
|
| 355 |
+
"step": 29000
|
| 356 |
+
},
|
| 357 |
+
{
|
| 358 |
+
"epoch": 11.96,
|
| 359 |
+
"learning_rate": 1.0124357934576913e-05,
|
| 360 |
+
"loss": 0.6382,
|
| 361 |
+
"step": 29500
|
| 362 |
+
},
|
| 363 |
+
{
|
| 364 |
+
"epoch": 12.17,
|
| 365 |
+
"learning_rate": 9.448499594484997e-06,
|
| 366 |
+
"loss": 0.635,
|
| 367 |
+
"step": 30000
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 12.37,
|
| 371 |
+
"learning_rate": 8.77264125439308e-06,
|
| 372 |
+
"loss": 0.6357,
|
| 373 |
+
"step": 30500
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 12.57,
|
| 377 |
+
"learning_rate": 8.096782914301162e-06,
|
| 378 |
+
"loss": 0.634,
|
| 379 |
+
"step": 31000
|
| 380 |
+
},
|
| 381 |
+
{
|
| 382 |
+
"epoch": 12.77,
|
| 383 |
+
"learning_rate": 7.420924574209247e-06,
|
| 384 |
+
"loss": 0.6338,
|
| 385 |
+
"step": 31500
|
| 386 |
+
},
|
| 387 |
+
{
|
| 388 |
+
"epoch": 12.98,
|
| 389 |
+
"learning_rate": 6.7450662341173294e-06,
|
| 390 |
+
"loss": 0.633,
|
| 391 |
+
"step": 32000
|
| 392 |
+
},
|
| 393 |
+
{
|
| 394 |
+
"epoch": 13.18,
|
| 395 |
+
"learning_rate": 6.069207894025412e-06,
|
| 396 |
+
"loss": 0.6301,
|
| 397 |
+
"step": 32500
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"epoch": 13.38,
|
| 401 |
+
"learning_rate": 5.393349553933496e-06,
|
| 402 |
+
"loss": 0.6313,
|
| 403 |
+
"step": 33000
|
| 404 |
+
},
|
| 405 |
+
{
|
| 406 |
+
"epoch": 13.58,
|
| 407 |
+
"learning_rate": 4.717491213841578e-06,
|
| 408 |
+
"loss": 0.6294,
|
| 409 |
+
"step": 33500
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 13.79,
|
| 413 |
+
"learning_rate": 4.041632873749662e-06,
|
| 414 |
+
"loss": 0.6311,
|
| 415 |
+
"step": 34000
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 13.99,
|
| 419 |
+
"learning_rate": 3.365774533657746e-06,
|
| 420 |
+
"loss": 0.631,
|
| 421 |
+
"step": 34500
|
| 422 |
+
},
|
| 423 |
+
{
|
| 424 |
+
"epoch": 14.19,
|
| 425 |
+
"learning_rate": 2.6899161935658286e-06,
|
| 426 |
+
"loss": 0.6274,
|
| 427 |
+
"step": 35000
|
| 428 |
+
},
|
| 429 |
+
{
|
| 430 |
+
"epoch": 14.4,
|
| 431 |
+
"learning_rate": 2.014057853473912e-06,
|
| 432 |
+
"loss": 0.6274,
|
| 433 |
+
"step": 35500
|
| 434 |
+
},
|
| 435 |
+
{
|
| 436 |
+
"epoch": 14.6,
|
| 437 |
+
"learning_rate": 1.3381995133819951e-06,
|
| 438 |
+
"loss": 0.6273,
|
| 439 |
+
"step": 36000
|
| 440 |
+
}
|
| 441 |
+
],
|
| 442 |
+
"max_steps": 36990,
|
| 443 |
+
"num_train_epochs": 15,
|
| 444 |
+
"start_time": 1624121724.3048394,
|
| 445 |
+
"total_flos": 0
|
| 446 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5d7bb9abd5b424962b89c0b7b12d6796f4ae4470ad68977139c0bc46c00398af
|
| 3 |
+
size 1391
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|