Commit
•
ea72f6e
1
Parent(s):
1438451
Add nanoBERT model
Browse files- config.json +26 -0
- merges.txt +0 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +551 -0
- training_args.bin +3 -0
- vocab.json +27 -0
config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"RobertaForMaskedLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_probs_dropout_prob": 0.1,
|
| 6 |
+
"bos_token_id": 0,
|
| 7 |
+
"classifier_dropout": null,
|
| 8 |
+
"eos_token_id": 2,
|
| 9 |
+
"hidden_act": "gelu",
|
| 10 |
+
"hidden_dropout_prob": 0.1,
|
| 11 |
+
"hidden_size": 320,
|
| 12 |
+
"initializer_range": 0.02,
|
| 13 |
+
"intermediate_size": 3072,
|
| 14 |
+
"layer_norm_eps": 1e-12,
|
| 15 |
+
"max_position_embeddings": 202,
|
| 16 |
+
"model_type": "roberta",
|
| 17 |
+
"num_attention_heads": 20,
|
| 18 |
+
"num_hidden_layers": 6,
|
| 19 |
+
"pad_token_id": 1,
|
| 20 |
+
"position_embedding_type": "absolute",
|
| 21 |
+
"torch_dtype": "float32",
|
| 22 |
+
"transformers_version": "4.34.0",
|
| 23 |
+
"type_vocab_size": 1,
|
| 24 |
+
"use_cache": true,
|
| 25 |
+
"vocab_size": 25
|
| 26 |
+
}
|
merges.txt
ADDED
|
File without changes
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:166ae04df4551eeabfffcf5a7d7bf1e445e2e9bf30575c14ab33b1b596f4cbac
|
| 3 |
+
size 115823034
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:abc474c6c6f23215d913d511eb771242317837f1e1880243e0076eae498e7fe2
|
| 3 |
+
size 57903730
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a90152373dab951875e92c43446a0ac8948d44ed5965f9bb310bfa2b43bd3423
|
| 3 |
+
size 14180
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b914267d1a6232aa34982b741df9a8419974f9bd7ab32e4784e35ee04f2e5332
|
| 3 |
+
size 1064
|
trainer_state.json
ADDED
|
@@ -0,0 +1,551 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 3.722424669879707,
|
| 5 |
+
"eval_steps": 10000,
|
| 6 |
+
"global_step": 380000,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.1,
|
| 13 |
+
"learning_rate": 9.83937751004016e-06,
|
| 14 |
+
"loss": 1.4799,
|
| 15 |
+
"step": 10000
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.1,
|
| 19 |
+
"eval_loss": 1.0304539203643799,
|
| 20 |
+
"eval_runtime": 69.6877,
|
| 21 |
+
"eval_samples_per_second": 1434.973,
|
| 22 |
+
"eval_steps_per_second": 14.952,
|
| 23 |
+
"step": 10000
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.2,
|
| 27 |
+
"learning_rate": 9.638654618473896e-06,
|
| 28 |
+
"loss": 0.9736,
|
| 29 |
+
"step": 20000
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"epoch": 0.2,
|
| 33 |
+
"eval_loss": 0.9039866328239441,
|
| 34 |
+
"eval_runtime": 65.2654,
|
| 35 |
+
"eval_samples_per_second": 1532.205,
|
| 36 |
+
"eval_steps_per_second": 15.966,
|
| 37 |
+
"step": 20000
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.29,
|
| 41 |
+
"learning_rate": 9.437951807228917e-06,
|
| 42 |
+
"loss": 0.8922,
|
| 43 |
+
"step": 30000
|
| 44 |
+
},
|
| 45 |
+
{
|
| 46 |
+
"epoch": 0.29,
|
| 47 |
+
"eval_loss": 0.8560834527015686,
|
| 48 |
+
"eval_runtime": 64.4642,
|
| 49 |
+
"eval_samples_per_second": 1551.248,
|
| 50 |
+
"eval_steps_per_second": 16.164,
|
| 51 |
+
"step": 30000
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.39,
|
| 55 |
+
"learning_rate": 9.237228915662652e-06,
|
| 56 |
+
"loss": 0.8531,
|
| 57 |
+
"step": 40000
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 0.39,
|
| 61 |
+
"eval_loss": 0.8226799368858337,
|
| 62 |
+
"eval_runtime": 64.3868,
|
| 63 |
+
"eval_samples_per_second": 1553.114,
|
| 64 |
+
"eval_steps_per_second": 16.183,
|
| 65 |
+
"step": 40000
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.49,
|
| 69 |
+
"learning_rate": 9.036526104417672e-06,
|
| 70 |
+
"loss": 0.829,
|
| 71 |
+
"step": 50000
|
| 72 |
+
},
|
| 73 |
+
{
|
| 74 |
+
"epoch": 0.49,
|
| 75 |
+
"eval_loss": 0.8042359948158264,
|
| 76 |
+
"eval_runtime": 64.3396,
|
| 77 |
+
"eval_samples_per_second": 1554.254,
|
| 78 |
+
"eval_steps_per_second": 16.195,
|
| 79 |
+
"step": 50000
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.59,
|
| 83 |
+
"learning_rate": 8.835823293172691e-06,
|
| 84 |
+
"loss": 0.811,
|
| 85 |
+
"step": 60000
|
| 86 |
+
},
|
| 87 |
+
{
|
| 88 |
+
"epoch": 0.59,
|
| 89 |
+
"eval_loss": 0.7950388789176941,
|
| 90 |
+
"eval_runtime": 64.5291,
|
| 91 |
+
"eval_samples_per_second": 1549.687,
|
| 92 |
+
"eval_steps_per_second": 16.148,
|
| 93 |
+
"step": 60000
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.69,
|
| 97 |
+
"learning_rate": 8.635120481927711e-06,
|
| 98 |
+
"loss": 0.7976,
|
| 99 |
+
"step": 70000
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.69,
|
| 103 |
+
"eval_loss": 0.7777369022369385,
|
| 104 |
+
"eval_runtime": 64.862,
|
| 105 |
+
"eval_samples_per_second": 1541.734,
|
| 106 |
+
"eval_steps_per_second": 16.065,
|
| 107 |
+
"step": 70000
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.78,
|
| 111 |
+
"learning_rate": 8.434417670682732e-06,
|
| 112 |
+
"loss": 0.7872,
|
| 113 |
+
"step": 80000
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"epoch": 0.78,
|
| 117 |
+
"eval_loss": 0.7702258825302124,
|
| 118 |
+
"eval_runtime": 64.4619,
|
| 119 |
+
"eval_samples_per_second": 1551.303,
|
| 120 |
+
"eval_steps_per_second": 16.165,
|
| 121 |
+
"step": 80000
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.88,
|
| 125 |
+
"learning_rate": 8.233714859437752e-06,
|
| 126 |
+
"loss": 0.778,
|
| 127 |
+
"step": 90000
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"epoch": 0.88,
|
| 131 |
+
"eval_loss": 0.760698139667511,
|
| 132 |
+
"eval_runtime": 64.4008,
|
| 133 |
+
"eval_samples_per_second": 1552.775,
|
| 134 |
+
"eval_steps_per_second": 16.18,
|
| 135 |
+
"step": 90000
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.98,
|
| 139 |
+
"learning_rate": 8.033012048192772e-06,
|
| 140 |
+
"loss": 0.7695,
|
| 141 |
+
"step": 100000
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 0.98,
|
| 145 |
+
"eval_loss": 0.7517786622047424,
|
| 146 |
+
"eval_runtime": 64.56,
|
| 147 |
+
"eval_samples_per_second": 1548.946,
|
| 148 |
+
"eval_steps_per_second": 16.14,
|
| 149 |
+
"step": 100000
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 1.08,
|
| 153 |
+
"learning_rate": 7.832309236947791e-06,
|
| 154 |
+
"loss": 0.7638,
|
| 155 |
+
"step": 110000
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"epoch": 1.08,
|
| 159 |
+
"eval_loss": 0.7468145489692688,
|
| 160 |
+
"eval_runtime": 64.9838,
|
| 161 |
+
"eval_samples_per_second": 1538.846,
|
| 162 |
+
"eval_steps_per_second": 16.035,
|
| 163 |
+
"step": 110000
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 1.18,
|
| 167 |
+
"learning_rate": 7.631606425702813e-06,
|
| 168 |
+
"loss": 0.7573,
|
| 169 |
+
"step": 120000
|
| 170 |
+
},
|
| 171 |
+
{
|
| 172 |
+
"epoch": 1.18,
|
| 173 |
+
"eval_loss": 0.739628255367279,
|
| 174 |
+
"eval_runtime": 64.2595,
|
| 175 |
+
"eval_samples_per_second": 1556.191,
|
| 176 |
+
"eval_steps_per_second": 16.216,
|
| 177 |
+
"step": 120000
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 1.27,
|
| 181 |
+
"learning_rate": 7.4309036144578315e-06,
|
| 182 |
+
"loss": 0.7512,
|
| 183 |
+
"step": 130000
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 1.27,
|
| 187 |
+
"eval_loss": 0.7346537709236145,
|
| 188 |
+
"eval_runtime": 64.911,
|
| 189 |
+
"eval_samples_per_second": 1540.57,
|
| 190 |
+
"eval_steps_per_second": 16.053,
|
| 191 |
+
"step": 130000
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 1.37,
|
| 195 |
+
"learning_rate": 7.2301807228915665e-06,
|
| 196 |
+
"loss": 0.7468,
|
| 197 |
+
"step": 140000
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"epoch": 1.37,
|
| 201 |
+
"eval_loss": 0.7300976514816284,
|
| 202 |
+
"eval_runtime": 64.8445,
|
| 203 |
+
"eval_samples_per_second": 1542.15,
|
| 204 |
+
"eval_steps_per_second": 16.069,
|
| 205 |
+
"step": 140000
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 1.47,
|
| 209 |
+
"learning_rate": 7.029477911646587e-06,
|
| 210 |
+
"loss": 0.7418,
|
| 211 |
+
"step": 150000
|
| 212 |
+
},
|
| 213 |
+
{
|
| 214 |
+
"epoch": 1.47,
|
| 215 |
+
"eval_loss": 0.7252103686332703,
|
| 216 |
+
"eval_runtime": 64.5503,
|
| 217 |
+
"eval_samples_per_second": 1549.179,
|
| 218 |
+
"eval_steps_per_second": 16.142,
|
| 219 |
+
"step": 150000
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 1.57,
|
| 223 |
+
"learning_rate": 6.828775100401607e-06,
|
| 224 |
+
"loss": 0.7379,
|
| 225 |
+
"step": 160000
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 1.57,
|
| 229 |
+
"eval_loss": 0.7203709483146667,
|
| 230 |
+
"eval_runtime": 64.4763,
|
| 231 |
+
"eval_samples_per_second": 1550.958,
|
| 232 |
+
"eval_steps_per_second": 16.161,
|
| 233 |
+
"step": 160000
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 1.67,
|
| 237 |
+
"learning_rate": 6.628072289156627e-06,
|
| 238 |
+
"loss": 0.7333,
|
| 239 |
+
"step": 170000
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 1.67,
|
| 243 |
+
"eval_loss": 0.7167079448699951,
|
| 244 |
+
"eval_runtime": 64.7852,
|
| 245 |
+
"eval_samples_per_second": 1543.562,
|
| 246 |
+
"eval_steps_per_second": 16.084,
|
| 247 |
+
"step": 170000
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 1.76,
|
| 251 |
+
"learning_rate": 6.427369477911647e-06,
|
| 252 |
+
"loss": 0.7298,
|
| 253 |
+
"step": 180000
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"epoch": 1.76,
|
| 257 |
+
"eval_loss": 0.7129059433937073,
|
| 258 |
+
"eval_runtime": 64.609,
|
| 259 |
+
"eval_samples_per_second": 1547.772,
|
| 260 |
+
"eval_steps_per_second": 16.128,
|
| 261 |
+
"step": 180000
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 1.86,
|
| 265 |
+
"learning_rate": 6.2266666666666675e-06,
|
| 266 |
+
"loss": 0.7258,
|
| 267 |
+
"step": 190000
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 1.86,
|
| 271 |
+
"eval_loss": 0.7089965343475342,
|
| 272 |
+
"eval_runtime": 64.6825,
|
| 273 |
+
"eval_samples_per_second": 1546.013,
|
| 274 |
+
"eval_steps_per_second": 16.109,
|
| 275 |
+
"step": 190000
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 1.96,
|
| 279 |
+
"learning_rate": 6.025963855421687e-06,
|
| 280 |
+
"loss": 0.7229,
|
| 281 |
+
"step": 200000
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 1.96,
|
| 285 |
+
"eval_loss": 0.7047411799430847,
|
| 286 |
+
"eval_runtime": 64.3501,
|
| 287 |
+
"eval_samples_per_second": 1553.999,
|
| 288 |
+
"eval_steps_per_second": 16.193,
|
| 289 |
+
"step": 200000
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 2.06,
|
| 293 |
+
"learning_rate": 5.825261044176708e-06,
|
| 294 |
+
"loss": 0.7194,
|
| 295 |
+
"step": 210000
|
| 296 |
+
},
|
| 297 |
+
{
|
| 298 |
+
"epoch": 2.06,
|
| 299 |
+
"eval_loss": 0.7026636004447937,
|
| 300 |
+
"eval_runtime": 64.4785,
|
| 301 |
+
"eval_samples_per_second": 1550.905,
|
| 302 |
+
"eval_steps_per_second": 16.16,
|
| 303 |
+
"step": 210000
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 2.16,
|
| 307 |
+
"learning_rate": 5.624558232931727e-06,
|
| 308 |
+
"loss": 0.7171,
|
| 309 |
+
"step": 220000
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 2.16,
|
| 313 |
+
"eval_loss": 0.702177107334137,
|
| 314 |
+
"eval_runtime": 64.5209,
|
| 315 |
+
"eval_samples_per_second": 1549.886,
|
| 316 |
+
"eval_steps_per_second": 16.15,
|
| 317 |
+
"step": 220000
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 2.25,
|
| 321 |
+
"learning_rate": 5.423855421686748e-06,
|
| 322 |
+
"loss": 0.7138,
|
| 323 |
+
"step": 230000
|
| 324 |
+
},
|
| 325 |
+
{
|
| 326 |
+
"epoch": 2.25,
|
| 327 |
+
"eval_loss": 0.6978575587272644,
|
| 328 |
+
"eval_runtime": 64.573,
|
| 329 |
+
"eval_samples_per_second": 1548.634,
|
| 330 |
+
"eval_steps_per_second": 16.137,
|
| 331 |
+
"step": 230000
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 2.35,
|
| 335 |
+
"learning_rate": 5.2231526104417676e-06,
|
| 336 |
+
"loss": 0.7113,
|
| 337 |
+
"step": 240000
|
| 338 |
+
},
|
| 339 |
+
{
|
| 340 |
+
"epoch": 2.35,
|
| 341 |
+
"eval_loss": 0.6939824819564819,
|
| 342 |
+
"eval_runtime": 64.7414,
|
| 343 |
+
"eval_samples_per_second": 1544.606,
|
| 344 |
+
"eval_steps_per_second": 16.095,
|
| 345 |
+
"step": 240000
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 2.45,
|
| 349 |
+
"learning_rate": 5.022449799196788e-06,
|
| 350 |
+
"loss": 0.7087,
|
| 351 |
+
"step": 250000
|
| 352 |
+
},
|
| 353 |
+
{
|
| 354 |
+
"epoch": 2.45,
|
| 355 |
+
"eval_loss": 0.6922757029533386,
|
| 356 |
+
"eval_runtime": 64.5094,
|
| 357 |
+
"eval_samples_per_second": 1550.162,
|
| 358 |
+
"eval_steps_per_second": 16.153,
|
| 359 |
+
"step": 250000
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 2.55,
|
| 363 |
+
"learning_rate": 4.821746987951808e-06,
|
| 364 |
+
"loss": 0.7071,
|
| 365 |
+
"step": 260000
|
| 366 |
+
},
|
| 367 |
+
{
|
| 368 |
+
"epoch": 2.55,
|
| 369 |
+
"eval_loss": 0.6915081739425659,
|
| 370 |
+
"eval_runtime": 65.0605,
|
| 371 |
+
"eval_samples_per_second": 1537.031,
|
| 372 |
+
"eval_steps_per_second": 16.016,
|
| 373 |
+
"step": 260000
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 2.64,
|
| 377 |
+
"learning_rate": 4.6210441767068274e-06,
|
| 378 |
+
"loss": 0.7047,
|
| 379 |
+
"step": 270000
|
| 380 |
+
},
|
| 381 |
+
{
|
| 382 |
+
"epoch": 2.64,
|
| 383 |
+
"eval_loss": 0.6870027184486389,
|
| 384 |
+
"eval_runtime": 64.7199,
|
| 385 |
+
"eval_samples_per_second": 1545.119,
|
| 386 |
+
"eval_steps_per_second": 16.1,
|
| 387 |
+
"step": 270000
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 2.74,
|
| 391 |
+
"learning_rate": 4.420341365461848e-06,
|
| 392 |
+
"loss": 0.7027,
|
| 393 |
+
"step": 280000
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"epoch": 2.74,
|
| 397 |
+
"eval_loss": 0.6844470500946045,
|
| 398 |
+
"eval_runtime": 64.906,
|
| 399 |
+
"eval_samples_per_second": 1540.69,
|
| 400 |
+
"eval_steps_per_second": 16.054,
|
| 401 |
+
"step": 280000
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 2.84,
|
| 405 |
+
"learning_rate": 4.219638554216868e-06,
|
| 406 |
+
"loss": 0.6999,
|
| 407 |
+
"step": 290000
|
| 408 |
+
},
|
| 409 |
+
{
|
| 410 |
+
"epoch": 2.84,
|
| 411 |
+
"eval_loss": 0.6833365559577942,
|
| 412 |
+
"eval_runtime": 64.5739,
|
| 413 |
+
"eval_samples_per_second": 1548.614,
|
| 414 |
+
"eval_steps_per_second": 16.137,
|
| 415 |
+
"step": 290000
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 2.94,
|
| 419 |
+
"learning_rate": 4.018935742971888e-06,
|
| 420 |
+
"loss": 0.6992,
|
| 421 |
+
"step": 300000
|
| 422 |
+
},
|
| 423 |
+
{
|
| 424 |
+
"epoch": 2.94,
|
| 425 |
+
"eval_loss": 0.6834575533866882,
|
| 426 |
+
"eval_runtime": 64.6706,
|
| 427 |
+
"eval_samples_per_second": 1546.298,
|
| 428 |
+
"eval_steps_per_second": 16.112,
|
| 429 |
+
"step": 300000
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 3.04,
|
| 433 |
+
"learning_rate": 3.818253012048193e-06,
|
| 434 |
+
"loss": 0.6975,
|
| 435 |
+
"step": 310000
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 3.04,
|
| 439 |
+
"eval_loss": 0.6793897151947021,
|
| 440 |
+
"eval_runtime": 64.8495,
|
| 441 |
+
"eval_samples_per_second": 1542.031,
|
| 442 |
+
"eval_steps_per_second": 16.068,
|
| 443 |
+
"step": 310000
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 3.13,
|
| 447 |
+
"learning_rate": 3.617530120481928e-06,
|
| 448 |
+
"loss": 0.6947,
|
| 449 |
+
"step": 320000
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 3.13,
|
| 453 |
+
"eval_loss": 0.6794592142105103,
|
| 454 |
+
"eval_runtime": 64.6554,
|
| 455 |
+
"eval_samples_per_second": 1546.661,
|
| 456 |
+
"eval_steps_per_second": 16.116,
|
| 457 |
+
"step": 320000
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 3.23,
|
| 461 |
+
"learning_rate": 3.416827309236948e-06,
|
| 462 |
+
"loss": 0.6947,
|
| 463 |
+
"step": 330000
|
| 464 |
+
},
|
| 465 |
+
{
|
| 466 |
+
"epoch": 3.23,
|
| 467 |
+
"eval_loss": 0.6781629920005798,
|
| 468 |
+
"eval_runtime": 65.93,
|
| 469 |
+
"eval_samples_per_second": 1516.76,
|
| 470 |
+
"eval_steps_per_second": 15.805,
|
| 471 |
+
"step": 330000
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 3.33,
|
| 475 |
+
"learning_rate": 3.216124497991968e-06,
|
| 476 |
+
"loss": 0.6932,
|
| 477 |
+
"step": 340000
|
| 478 |
+
},
|
| 479 |
+
{
|
| 480 |
+
"epoch": 3.33,
|
| 481 |
+
"eval_loss": 0.6771513819694519,
|
| 482 |
+
"eval_runtime": 64.7971,
|
| 483 |
+
"eval_samples_per_second": 1543.279,
|
| 484 |
+
"eval_steps_per_second": 16.081,
|
| 485 |
+
"step": 340000
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 3.43,
|
| 489 |
+
"learning_rate": 3.015401606425703e-06,
|
| 490 |
+
"loss": 0.6914,
|
| 491 |
+
"step": 350000
|
| 492 |
+
},
|
| 493 |
+
{
|
| 494 |
+
"epoch": 3.43,
|
| 495 |
+
"eval_loss": 0.6757428050041199,
|
| 496 |
+
"eval_runtime": 64.8856,
|
| 497 |
+
"eval_samples_per_second": 1541.173,
|
| 498 |
+
"eval_steps_per_second": 16.059,
|
| 499 |
+
"step": 350000
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 3.53,
|
| 503 |
+
"learning_rate": 2.8146987951807233e-06,
|
| 504 |
+
"loss": 0.6907,
|
| 505 |
+
"step": 360000
|
| 506 |
+
},
|
| 507 |
+
{
|
| 508 |
+
"epoch": 3.53,
|
| 509 |
+
"eval_loss": 0.6730121374130249,
|
| 510 |
+
"eval_runtime": 65.1098,
|
| 511 |
+
"eval_samples_per_second": 1535.867,
|
| 512 |
+
"eval_steps_per_second": 16.004,
|
| 513 |
+
"step": 360000
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 3.62,
|
| 517 |
+
"learning_rate": 2.6139959839357434e-06,
|
| 518 |
+
"loss": 0.689,
|
| 519 |
+
"step": 370000
|
| 520 |
+
},
|
| 521 |
+
{
|
| 522 |
+
"epoch": 3.62,
|
| 523 |
+
"eval_loss": 0.6724720597267151,
|
| 524 |
+
"eval_runtime": 65.1981,
|
| 525 |
+
"eval_samples_per_second": 1533.787,
|
| 526 |
+
"eval_steps_per_second": 15.982,
|
| 527 |
+
"step": 370000
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 3.72,
|
| 531 |
+
"learning_rate": 2.413293172690763e-06,
|
| 532 |
+
"loss": 0.6885,
|
| 533 |
+
"step": 380000
|
| 534 |
+
},
|
| 535 |
+
{
|
| 536 |
+
"epoch": 3.72,
|
| 537 |
+
"eval_loss": 0.6744215488433838,
|
| 538 |
+
"eval_runtime": 64.9859,
|
| 539 |
+
"eval_samples_per_second": 1538.796,
|
| 540 |
+
"eval_steps_per_second": 16.034,
|
| 541 |
+
"step": 380000
|
| 542 |
+
}
|
| 543 |
+
],
|
| 544 |
+
"logging_steps": 10000,
|
| 545 |
+
"max_steps": 500000,
|
| 546 |
+
"num_train_epochs": 5,
|
| 547 |
+
"save_steps": 10000,
|
| 548 |
+
"total_flos": 6.301004166565632e+17,
|
| 549 |
+
"trial_name": null,
|
| 550 |
+
"trial_params": null
|
| 551 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:52cfee9909bae69ef99be6ff3749cceaf5f5a35741ce1b069ebf8f2caea16cef
|
| 3 |
+
size 4600
|
vocab.json
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<s>": 0,
|
| 3 |
+
"</s>": 2,
|
| 4 |
+
"<pad>": 1,
|
| 5 |
+
"<unk>": 3,
|
| 6 |
+
"<mask>": 4,
|
| 7 |
+
"A": 5,
|
| 8 |
+
"C": 6,
|
| 9 |
+
"D": 7,
|
| 10 |
+
"E": 8,
|
| 11 |
+
"F": 9,
|
| 12 |
+
"G": 10,
|
| 13 |
+
"H": 11,
|
| 14 |
+
"I": 12,
|
| 15 |
+
"K": 13,
|
| 16 |
+
"L": 14,
|
| 17 |
+
"M": 15,
|
| 18 |
+
"N": 16,
|
| 19 |
+
"P": 17,
|
| 20 |
+
"Q": 18,
|
| 21 |
+
"R": 19,
|
| 22 |
+
"S": 20,
|
| 23 |
+
"T": 21,
|
| 24 |
+
"V": 22,
|
| 25 |
+
"W": 23,
|
| 26 |
+
"Y": 24
|
| 27 |
+
}
|