Tianyu Gao
commited on
Commit
•
0eed4bd
1
Parent(s):
17a49de
init
Browse files- config.json +24 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- train_results.txt +3 -0
- trainer_state.json +1297 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "result/bert-large-uncased-cls_before_pooler-sym_mlp-mlp_bert-bs64-gpu8-gs1-lr5e-5-m=stsb-norm0.05-l32-wiki-id-1epoch",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"BertForCL"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.1,
|
| 7 |
+
"gradient_checkpointing": false,
|
| 8 |
+
"hidden_act": "gelu",
|
| 9 |
+
"hidden_dropout_prob": 0.1,
|
| 10 |
+
"hidden_size": 1024,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 4096,
|
| 13 |
+
"layer_norm_eps": 1e-12,
|
| 14 |
+
"max_position_embeddings": 512,
|
| 15 |
+
"model_type": "bert",
|
| 16 |
+
"num_attention_heads": 16,
|
| 17 |
+
"num_hidden_layers": 24,
|
| 18 |
+
"pad_token_id": 0,
|
| 19 |
+
"position_embedding_type": "absolute",
|
| 20 |
+
"transformers_version": "4.2.1",
|
| 21 |
+
"type_vocab_size": 2,
|
| 22 |
+
"use_cache": true,
|
| 23 |
+
"vocab_size": 30522
|
| 24 |
+
}
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:56469ce2bc958e078c00c62ffc7a855897f7c00a878b385f8f6c161b40f841d2
|
| 3 |
+
size 2681374517
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c0d75eb5e1c7699fe7095919c542b0f3e1664be3e4962d0dfb8a48e9141fe738
|
| 3 |
+
size 1340700103
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5c677d46c0d626f3fec1579bd9577f5c4f4ab164833476209eb04e4f8c325e50
|
| 3 |
+
size 623
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "name_or_path": "bert-large-uncased"}
|
train_results.txt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
epoch = 1.0
|
| 2 |
+
train_runtime = 3451.5882
|
| 3 |
+
train_samples_per_second = 0.566
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1297 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.8233758432892795,
|
| 3 |
+
"best_model_checkpoint": "result/bert-large-uncased-cls_before_pooler-sym_mlp-mlp_bert-bs64-gpu8-gs1-lr5e-5-m=stsb-norm0.05-l32-wiki-id-1epoch",
|
| 4 |
+
"epoch": 1.0,
|
| 5 |
+
"global_step": 1954,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.01,
|
| 12 |
+
"learning_rate": 4.9744114636642786e-05,
|
| 13 |
+
"loss": 0.7987,
|
| 14 |
+
"step": 10
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.01,
|
| 18 |
+
"learning_rate": 4.948822927328557e-05,
|
| 19 |
+
"loss": 0.0132,
|
| 20 |
+
"step": 20
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.02,
|
| 24 |
+
"learning_rate": 4.923234390992835e-05,
|
| 25 |
+
"loss": 0.0083,
|
| 26 |
+
"step": 30
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.02,
|
| 30 |
+
"learning_rate": 4.897645854657114e-05,
|
| 31 |
+
"loss": 0.0044,
|
| 32 |
+
"step": 40
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.03,
|
| 36 |
+
"learning_rate": 4.8720573183213926e-05,
|
| 37 |
+
"loss": 0.0041,
|
| 38 |
+
"step": 50
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.03,
|
| 42 |
+
"learning_rate": 4.846468781985671e-05,
|
| 43 |
+
"loss": 0.0032,
|
| 44 |
+
"step": 60
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.04,
|
| 48 |
+
"learning_rate": 4.820880245649949e-05,
|
| 49 |
+
"loss": 0.0022,
|
| 50 |
+
"step": 70
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 0.04,
|
| 54 |
+
"learning_rate": 4.795291709314228e-05,
|
| 55 |
+
"loss": 0.0014,
|
| 56 |
+
"step": 80
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 0.05,
|
| 60 |
+
"learning_rate": 4.769703172978506e-05,
|
| 61 |
+
"loss": 0.0023,
|
| 62 |
+
"step": 90
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 0.05,
|
| 66 |
+
"learning_rate": 4.7441146366427843e-05,
|
| 67 |
+
"loss": 0.0012,
|
| 68 |
+
"step": 100
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 0.06,
|
| 72 |
+
"learning_rate": 4.718526100307063e-05,
|
| 73 |
+
"loss": 0.0013,
|
| 74 |
+
"step": 110
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 0.06,
|
| 78 |
+
"learning_rate": 4.692937563971341e-05,
|
| 79 |
+
"loss": 0.0017,
|
| 80 |
+
"step": 120
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.06,
|
| 84 |
+
"eval_avg_sts": 0.7527941583986333,
|
| 85 |
+
"eval_sickr_spearman": 0.7351572662264496,
|
| 86 |
+
"eval_stsb_spearman": 0.770431050570817,
|
| 87 |
+
"step": 125
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.07,
|
| 91 |
+
"learning_rate": 4.6673490276356194e-05,
|
| 92 |
+
"loss": 0.0021,
|
| 93 |
+
"step": 130
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.07,
|
| 97 |
+
"learning_rate": 4.641760491299898e-05,
|
| 98 |
+
"loss": 0.0012,
|
| 99 |
+
"step": 140
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.08,
|
| 103 |
+
"learning_rate": 4.616171954964176e-05,
|
| 104 |
+
"loss": 0.0017,
|
| 105 |
+
"step": 150
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 0.08,
|
| 109 |
+
"learning_rate": 4.5905834186284544e-05,
|
| 110 |
+
"loss": 0.0011,
|
| 111 |
+
"step": 160
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 0.09,
|
| 115 |
+
"learning_rate": 4.564994882292733e-05,
|
| 116 |
+
"loss": 0.0004,
|
| 117 |
+
"step": 170
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 0.09,
|
| 121 |
+
"learning_rate": 4.539406345957011e-05,
|
| 122 |
+
"loss": 0.001,
|
| 123 |
+
"step": 180
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 0.1,
|
| 127 |
+
"learning_rate": 4.5138178096212894e-05,
|
| 128 |
+
"loss": 0.0013,
|
| 129 |
+
"step": 190
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.1,
|
| 133 |
+
"learning_rate": 4.4882292732855685e-05,
|
| 134 |
+
"loss": 0.0011,
|
| 135 |
+
"step": 200
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.11,
|
| 139 |
+
"learning_rate": 4.462640736949847e-05,
|
| 140 |
+
"loss": 0.0016,
|
| 141 |
+
"step": 210
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 0.11,
|
| 145 |
+
"learning_rate": 4.437052200614125e-05,
|
| 146 |
+
"loss": 0.0008,
|
| 147 |
+
"step": 220
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 0.12,
|
| 151 |
+
"learning_rate": 4.4114636642784035e-05,
|
| 152 |
+
"loss": 0.0006,
|
| 153 |
+
"step": 230
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 0.12,
|
| 157 |
+
"learning_rate": 4.385875127942682e-05,
|
| 158 |
+
"loss": 0.0012,
|
| 159 |
+
"step": 240
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 0.13,
|
| 163 |
+
"learning_rate": 4.36028659160696e-05,
|
| 164 |
+
"loss": 0.0012,
|
| 165 |
+
"step": 250
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.13,
|
| 169 |
+
"eval_avg_sts": 0.7786723498526811,
|
| 170 |
+
"eval_sickr_spearman": 0.7543037120683187,
|
| 171 |
+
"eval_stsb_spearman": 0.8030409876370435,
|
| 172 |
+
"step": 250
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"epoch": 0.13,
|
| 176 |
+
"learning_rate": 4.3346980552712385e-05,
|
| 177 |
+
"loss": 0.001,
|
| 178 |
+
"step": 260
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.14,
|
| 182 |
+
"learning_rate": 4.309109518935517e-05,
|
| 183 |
+
"loss": 0.0007,
|
| 184 |
+
"step": 270
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.14,
|
| 188 |
+
"learning_rate": 4.283520982599796e-05,
|
| 189 |
+
"loss": 0.0009,
|
| 190 |
+
"step": 280
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"epoch": 0.15,
|
| 194 |
+
"learning_rate": 4.257932446264074e-05,
|
| 195 |
+
"loss": 0.0012,
|
| 196 |
+
"step": 290
|
| 197 |
+
},
|
| 198 |
+
{
|
| 199 |
+
"epoch": 0.15,
|
| 200 |
+
"learning_rate": 4.2323439099283526e-05,
|
| 201 |
+
"loss": 0.0015,
|
| 202 |
+
"step": 300
|
| 203 |
+
},
|
| 204 |
+
{
|
| 205 |
+
"epoch": 0.16,
|
| 206 |
+
"learning_rate": 4.206755373592631e-05,
|
| 207 |
+
"loss": 0.0013,
|
| 208 |
+
"step": 310
|
| 209 |
+
},
|
| 210 |
+
{
|
| 211 |
+
"epoch": 0.16,
|
| 212 |
+
"learning_rate": 4.181166837256909e-05,
|
| 213 |
+
"loss": 0.0019,
|
| 214 |
+
"step": 320
|
| 215 |
+
},
|
| 216 |
+
{
|
| 217 |
+
"epoch": 0.17,
|
| 218 |
+
"learning_rate": 4.1555783009211876e-05,
|
| 219 |
+
"loss": 0.0013,
|
| 220 |
+
"step": 330
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.17,
|
| 224 |
+
"learning_rate": 4.129989764585466e-05,
|
| 225 |
+
"loss": 0.0007,
|
| 226 |
+
"step": 340
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.18,
|
| 230 |
+
"learning_rate": 4.104401228249744e-05,
|
| 231 |
+
"loss": 0.0004,
|
| 232 |
+
"step": 350
|
| 233 |
+
},
|
| 234 |
+
{
|
| 235 |
+
"epoch": 0.18,
|
| 236 |
+
"learning_rate": 4.0788126919140226e-05,
|
| 237 |
+
"loss": 0.0015,
|
| 238 |
+
"step": 360
|
| 239 |
+
},
|
| 240 |
+
{
|
| 241 |
+
"epoch": 0.19,
|
| 242 |
+
"learning_rate": 4.053224155578301e-05,
|
| 243 |
+
"loss": 0.0004,
|
| 244 |
+
"step": 370
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"epoch": 0.19,
|
| 248 |
+
"eval_avg_sts": 0.7913077528900125,
|
| 249 |
+
"eval_sickr_spearman": 0.7655320387137092,
|
| 250 |
+
"eval_stsb_spearman": 0.8170834670663158,
|
| 251 |
+
"step": 375
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 0.19,
|
| 255 |
+
"learning_rate": 4.027635619242579e-05,
|
| 256 |
+
"loss": 0.0014,
|
| 257 |
+
"step": 380
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 0.2,
|
| 261 |
+
"learning_rate": 4.0020470829068577e-05,
|
| 262 |
+
"loss": 0.0013,
|
| 263 |
+
"step": 390
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 0.2,
|
| 267 |
+
"learning_rate": 3.976458546571136e-05,
|
| 268 |
+
"loss": 0.0015,
|
| 269 |
+
"step": 400
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.21,
|
| 273 |
+
"learning_rate": 3.9508700102354143e-05,
|
| 274 |
+
"loss": 0.0006,
|
| 275 |
+
"step": 410
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.21,
|
| 279 |
+
"learning_rate": 3.925281473899693e-05,
|
| 280 |
+
"loss": 0.0005,
|
| 281 |
+
"step": 420
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 0.22,
|
| 285 |
+
"learning_rate": 3.899692937563972e-05,
|
| 286 |
+
"loss": 0.0006,
|
| 287 |
+
"step": 430
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"epoch": 0.23,
|
| 291 |
+
"learning_rate": 3.87410440122825e-05,
|
| 292 |
+
"loss": 0.0004,
|
| 293 |
+
"step": 440
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"epoch": 0.23,
|
| 297 |
+
"learning_rate": 3.8485158648925284e-05,
|
| 298 |
+
"loss": 0.001,
|
| 299 |
+
"step": 450
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 0.24,
|
| 303 |
+
"learning_rate": 3.822927328556807e-05,
|
| 304 |
+
"loss": 0.0012,
|
| 305 |
+
"step": 460
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 0.24,
|
| 309 |
+
"learning_rate": 3.797338792221085e-05,
|
| 310 |
+
"loss": 0.0014,
|
| 311 |
+
"step": 470
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.25,
|
| 315 |
+
"learning_rate": 3.7717502558853634e-05,
|
| 316 |
+
"loss": 0.0007,
|
| 317 |
+
"step": 480
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.25,
|
| 321 |
+
"learning_rate": 3.746161719549642e-05,
|
| 322 |
+
"loss": 0.0011,
|
| 323 |
+
"step": 490
|
| 324 |
+
},
|
| 325 |
+
{
|
| 326 |
+
"epoch": 0.26,
|
| 327 |
+
"learning_rate": 3.72057318321392e-05,
|
| 328 |
+
"loss": 0.0011,
|
| 329 |
+
"step": 500
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"epoch": 0.26,
|
| 333 |
+
"eval_avg_sts": 0.7880331799657297,
|
| 334 |
+
"eval_sickr_spearman": 0.7571696318289279,
|
| 335 |
+
"eval_stsb_spearman": 0.8188967281025316,
|
| 336 |
+
"step": 500
|
| 337 |
+
},
|
| 338 |
+
{
|
| 339 |
+
"epoch": 0.26,
|
| 340 |
+
"learning_rate": 3.694984646878199e-05,
|
| 341 |
+
"loss": 0.0003,
|
| 342 |
+
"step": 510
|
| 343 |
+
},
|
| 344 |
+
{
|
| 345 |
+
"epoch": 0.27,
|
| 346 |
+
"learning_rate": 3.6693961105424775e-05,
|
| 347 |
+
"loss": 0.0007,
|
| 348 |
+
"step": 520
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"epoch": 0.27,
|
| 352 |
+
"learning_rate": 3.643807574206756e-05,
|
| 353 |
+
"loss": 0.0007,
|
| 354 |
+
"step": 530
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"epoch": 0.28,
|
| 358 |
+
"learning_rate": 3.618219037871034e-05,
|
| 359 |
+
"loss": 0.0021,
|
| 360 |
+
"step": 540
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.28,
|
| 364 |
+
"learning_rate": 3.5926305015353125e-05,
|
| 365 |
+
"loss": 0.0019,
|
| 366 |
+
"step": 550
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.29,
|
| 370 |
+
"learning_rate": 3.567041965199591e-05,
|
| 371 |
+
"loss": 0.0015,
|
| 372 |
+
"step": 560
|
| 373 |
+
},
|
| 374 |
+
{
|
| 375 |
+
"epoch": 0.29,
|
| 376 |
+
"learning_rate": 3.541453428863869e-05,
|
| 377 |
+
"loss": 0.0002,
|
| 378 |
+
"step": 570
|
| 379 |
+
},
|
| 380 |
+
{
|
| 381 |
+
"epoch": 0.3,
|
| 382 |
+
"learning_rate": 3.5158648925281475e-05,
|
| 383 |
+
"loss": 0.0017,
|
| 384 |
+
"step": 580
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 0.3,
|
| 388 |
+
"learning_rate": 3.4902763561924265e-05,
|
| 389 |
+
"loss": 0.0018,
|
| 390 |
+
"step": 590
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 0.31,
|
| 394 |
+
"learning_rate": 3.464687819856704e-05,
|
| 395 |
+
"loss": 0.0013,
|
| 396 |
+
"step": 600
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 0.31,
|
| 400 |
+
"learning_rate": 3.4390992835209826e-05,
|
| 401 |
+
"loss": 0.0008,
|
| 402 |
+
"step": 610
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.32,
|
| 406 |
+
"learning_rate": 3.413510747185261e-05,
|
| 407 |
+
"loss": 0.0022,
|
| 408 |
+
"step": 620
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.32,
|
| 412 |
+
"eval_avg_sts": 0.7732885189334773,
|
| 413 |
+
"eval_sickr_spearman": 0.7409421801147573,
|
| 414 |
+
"eval_stsb_spearman": 0.8056348577521973,
|
| 415 |
+
"step": 625
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.32,
|
| 419 |
+
"learning_rate": 3.387922210849539e-05,
|
| 420 |
+
"loss": 0.0022,
|
| 421 |
+
"step": 630
|
| 422 |
+
},
|
| 423 |
+
{
|
| 424 |
+
"epoch": 0.33,
|
| 425 |
+
"learning_rate": 3.3623336745138176e-05,
|
| 426 |
+
"loss": 0.0006,
|
| 427 |
+
"step": 640
|
| 428 |
+
},
|
| 429 |
+
{
|
| 430 |
+
"epoch": 0.33,
|
| 431 |
+
"learning_rate": 3.336745138178096e-05,
|
| 432 |
+
"loss": 0.0011,
|
| 433 |
+
"step": 650
|
| 434 |
+
},
|
| 435 |
+
{
|
| 436 |
+
"epoch": 0.34,
|
| 437 |
+
"learning_rate": 3.311156601842374e-05,
|
| 438 |
+
"loss": 0.0097,
|
| 439 |
+
"step": 660
|
| 440 |
+
},
|
| 441 |
+
{
|
| 442 |
+
"epoch": 0.34,
|
| 443 |
+
"learning_rate": 3.285568065506653e-05,
|
| 444 |
+
"loss": 0.0065,
|
| 445 |
+
"step": 670
|
| 446 |
+
},
|
| 447 |
+
{
|
| 448 |
+
"epoch": 0.35,
|
| 449 |
+
"learning_rate": 3.2599795291709316e-05,
|
| 450 |
+
"loss": 0.0026,
|
| 451 |
+
"step": 680
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.35,
|
| 455 |
+
"learning_rate": 3.23439099283521e-05,
|
| 456 |
+
"loss": 0.002,
|
| 457 |
+
"step": 690
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.36,
|
| 461 |
+
"learning_rate": 3.208802456499488e-05,
|
| 462 |
+
"loss": 0.0029,
|
| 463 |
+
"step": 700
|
| 464 |
+
},
|
| 465 |
+
{
|
| 466 |
+
"epoch": 0.36,
|
| 467 |
+
"learning_rate": 3.183213920163767e-05,
|
| 468 |
+
"loss": 0.0025,
|
| 469 |
+
"step": 710
|
| 470 |
+
},
|
| 471 |
+
{
|
| 472 |
+
"epoch": 0.37,
|
| 473 |
+
"learning_rate": 3.157625383828045e-05,
|
| 474 |
+
"loss": 0.0024,
|
| 475 |
+
"step": 720
|
| 476 |
+
},
|
| 477 |
+
{
|
| 478 |
+
"epoch": 0.37,
|
| 479 |
+
"learning_rate": 3.1320368474923234e-05,
|
| 480 |
+
"loss": 0.001,
|
| 481 |
+
"step": 730
|
| 482 |
+
},
|
| 483 |
+
{
|
| 484 |
+
"epoch": 0.38,
|
| 485 |
+
"learning_rate": 3.106448311156602e-05,
|
| 486 |
+
"loss": 0.0016,
|
| 487 |
+
"step": 740
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"epoch": 0.38,
|
| 491 |
+
"learning_rate": 3.080859774820881e-05,
|
| 492 |
+
"loss": 0.001,
|
| 493 |
+
"step": 750
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.38,
|
| 497 |
+
"eval_avg_sts": 0.7885603958950645,
|
| 498 |
+
"eval_sickr_spearman": 0.7648866928347867,
|
| 499 |
+
"eval_stsb_spearman": 0.8122340989553424,
|
| 500 |
+
"step": 750
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.39,
|
| 504 |
+
"learning_rate": 3.055271238485159e-05,
|
| 505 |
+
"loss": 0.0016,
|
| 506 |
+
"step": 760
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.39,
|
| 510 |
+
"learning_rate": 3.0296827021494374e-05,
|
| 511 |
+
"loss": 0.0007,
|
| 512 |
+
"step": 770
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"epoch": 0.4,
|
| 516 |
+
"learning_rate": 3.0040941658137157e-05,
|
| 517 |
+
"loss": 0.0015,
|
| 518 |
+
"step": 780
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 0.4,
|
| 522 |
+
"learning_rate": 2.978505629477994e-05,
|
| 523 |
+
"loss": 0.0017,
|
| 524 |
+
"step": 790
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 0.41,
|
| 528 |
+
"learning_rate": 2.9529170931422724e-05,
|
| 529 |
+
"loss": 0.001,
|
| 530 |
+
"step": 800
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 0.41,
|
| 534 |
+
"learning_rate": 2.9273285568065504e-05,
|
| 535 |
+
"loss": 0.0005,
|
| 536 |
+
"step": 810
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 0.42,
|
| 540 |
+
"learning_rate": 2.9017400204708288e-05,
|
| 541 |
+
"loss": 0.001,
|
| 542 |
+
"step": 820
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.42,
|
| 546 |
+
"learning_rate": 2.8761514841351078e-05,
|
| 547 |
+
"loss": 0.0004,
|
| 548 |
+
"step": 830
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.43,
|
| 552 |
+
"learning_rate": 2.850562947799386e-05,
|
| 553 |
+
"loss": 0.0008,
|
| 554 |
+
"step": 840
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 0.44,
|
| 558 |
+
"learning_rate": 2.8249744114636645e-05,
|
| 559 |
+
"loss": 0.0008,
|
| 560 |
+
"step": 850
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 0.44,
|
| 564 |
+
"learning_rate": 2.7993858751279428e-05,
|
| 565 |
+
"loss": 0.0018,
|
| 566 |
+
"step": 860
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 0.45,
|
| 570 |
+
"learning_rate": 2.7737973387922212e-05,
|
| 571 |
+
"loss": 0.0004,
|
| 572 |
+
"step": 870
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 0.45,
|
| 576 |
+
"eval_avg_sts": 0.7926162200321307,
|
| 577 |
+
"eval_sickr_spearman": 0.7705847664916943,
|
| 578 |
+
"eval_stsb_spearman": 0.8146476735725671,
|
| 579 |
+
"step": 875
|
| 580 |
+
},
|
| 581 |
+
{
|
| 582 |
+
"epoch": 0.45,
|
| 583 |
+
"learning_rate": 2.7482088024564995e-05,
|
| 584 |
+
"loss": 0.0009,
|
| 585 |
+
"step": 880
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 0.46,
|
| 589 |
+
"learning_rate": 2.722620266120778e-05,
|
| 590 |
+
"loss": 0.0008,
|
| 591 |
+
"step": 890
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.46,
|
| 595 |
+
"learning_rate": 2.6970317297850565e-05,
|
| 596 |
+
"loss": 0.0011,
|
| 597 |
+
"step": 900
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.47,
|
| 601 |
+
"learning_rate": 2.671443193449335e-05,
|
| 602 |
+
"loss": 0.0009,
|
| 603 |
+
"step": 910
|
| 604 |
+
},
|
| 605 |
+
{
|
| 606 |
+
"epoch": 0.47,
|
| 607 |
+
"learning_rate": 2.6458546571136132e-05,
|
| 608 |
+
"loss": 0.0012,
|
| 609 |
+
"step": 920
|
| 610 |
+
},
|
| 611 |
+
{
|
| 612 |
+
"epoch": 0.48,
|
| 613 |
+
"learning_rate": 2.6202661207778916e-05,
|
| 614 |
+
"loss": 0.0006,
|
| 615 |
+
"step": 930
|
| 616 |
+
},
|
| 617 |
+
{
|
| 618 |
+
"epoch": 0.48,
|
| 619 |
+
"learning_rate": 2.59467758444217e-05,
|
| 620 |
+
"loss": 0.0006,
|
| 621 |
+
"step": 940
|
| 622 |
+
},
|
| 623 |
+
{
|
| 624 |
+
"epoch": 0.49,
|
| 625 |
+
"learning_rate": 2.5690890481064483e-05,
|
| 626 |
+
"loss": 0.0019,
|
| 627 |
+
"step": 950
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 0.49,
|
| 631 |
+
"learning_rate": 2.5435005117707266e-05,
|
| 632 |
+
"loss": 0.0003,
|
| 633 |
+
"step": 960
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.5,
|
| 637 |
+
"learning_rate": 2.517911975435005e-05,
|
| 638 |
+
"loss": 0.0015,
|
| 639 |
+
"step": 970
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.5,
|
| 643 |
+
"learning_rate": 2.4923234390992836e-05,
|
| 644 |
+
"loss": 0.0007,
|
| 645 |
+
"step": 980
|
| 646 |
+
},
|
| 647 |
+
{
|
| 648 |
+
"epoch": 0.51,
|
| 649 |
+
"learning_rate": 2.466734902763562e-05,
|
| 650 |
+
"loss": 0.0009,
|
| 651 |
+
"step": 990
|
| 652 |
+
},
|
| 653 |
+
{
|
| 654 |
+
"epoch": 0.51,
|
| 655 |
+
"learning_rate": 2.4411463664278406e-05,
|
| 656 |
+
"loss": 0.0007,
|
| 657 |
+
"step": 1000
|
| 658 |
+
},
|
| 659 |
+
{
|
| 660 |
+
"epoch": 0.51,
|
| 661 |
+
"eval_avg_sts": 0.7959315624689012,
|
| 662 |
+
"eval_sickr_spearman": 0.774320769654855,
|
| 663 |
+
"eval_stsb_spearman": 0.8175423552829473,
|
| 664 |
+
"step": 1000
|
| 665 |
+
},
|
| 666 |
+
{
|
| 667 |
+
"epoch": 0.52,
|
| 668 |
+
"learning_rate": 2.415557830092119e-05,
|
| 669 |
+
"loss": 0.0008,
|
| 670 |
+
"step": 1010
|
| 671 |
+
},
|
| 672 |
+
{
|
| 673 |
+
"epoch": 0.52,
|
| 674 |
+
"learning_rate": 2.3899692937563973e-05,
|
| 675 |
+
"loss": 0.0007,
|
| 676 |
+
"step": 1020
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 0.53,
|
| 680 |
+
"learning_rate": 2.3643807574206757e-05,
|
| 681 |
+
"loss": 0.0008,
|
| 682 |
+
"step": 1030
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.53,
|
| 686 |
+
"learning_rate": 2.338792221084954e-05,
|
| 687 |
+
"loss": 0.0017,
|
| 688 |
+
"step": 1040
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.54,
|
| 692 |
+
"learning_rate": 2.3132036847492324e-05,
|
| 693 |
+
"loss": 0.0008,
|
| 694 |
+
"step": 1050
|
| 695 |
+
},
|
| 696 |
+
{
|
| 697 |
+
"epoch": 0.54,
|
| 698 |
+
"learning_rate": 2.2876151484135107e-05,
|
| 699 |
+
"loss": 0.0013,
|
| 700 |
+
"step": 1060
|
| 701 |
+
},
|
| 702 |
+
{
|
| 703 |
+
"epoch": 0.55,
|
| 704 |
+
"learning_rate": 2.262026612077789e-05,
|
| 705 |
+
"loss": 0.0003,
|
| 706 |
+
"step": 1070
|
| 707 |
+
},
|
| 708 |
+
{
|
| 709 |
+
"epoch": 0.55,
|
| 710 |
+
"learning_rate": 2.2364380757420677e-05,
|
| 711 |
+
"loss": 0.0007,
|
| 712 |
+
"step": 1080
|
| 713 |
+
},
|
| 714 |
+
{
|
| 715 |
+
"epoch": 0.56,
|
| 716 |
+
"learning_rate": 2.210849539406346e-05,
|
| 717 |
+
"loss": 0.0014,
|
| 718 |
+
"step": 1090
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"epoch": 0.56,
|
| 722 |
+
"learning_rate": 2.1852610030706244e-05,
|
| 723 |
+
"loss": 0.001,
|
| 724 |
+
"step": 1100
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 0.57,
|
| 728 |
+
"learning_rate": 2.1596724667349028e-05,
|
| 729 |
+
"loss": 0.0005,
|
| 730 |
+
"step": 1110
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.57,
|
| 734 |
+
"learning_rate": 2.1340839303991814e-05,
|
| 735 |
+
"loss": 0.0005,
|
| 736 |
+
"step": 1120
|
| 737 |
+
},
|
| 738 |
+
{
|
| 739 |
+
"epoch": 0.58,
|
| 740 |
+
"eval_avg_sts": 0.795896362310046,
|
| 741 |
+
"eval_sickr_spearman": 0.7711842426687433,
|
| 742 |
+
"eval_stsb_spearman": 0.8206084819513487,
|
| 743 |
+
"step": 1125
|
| 744 |
+
},
|
| 745 |
+
{
|
| 746 |
+
"epoch": 0.58,
|
| 747 |
+
"learning_rate": 2.1084953940634598e-05,
|
| 748 |
+
"loss": 0.0009,
|
| 749 |
+
"step": 1130
|
| 750 |
+
},
|
| 751 |
+
{
|
| 752 |
+
"epoch": 0.58,
|
| 753 |
+
"learning_rate": 2.082906857727738e-05,
|
| 754 |
+
"loss": 0.0015,
|
| 755 |
+
"step": 1140
|
| 756 |
+
},
|
| 757 |
+
{
|
| 758 |
+
"epoch": 0.59,
|
| 759 |
+
"learning_rate": 2.0573183213920165e-05,
|
| 760 |
+
"loss": 0.0009,
|
| 761 |
+
"step": 1150
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 0.59,
|
| 765 |
+
"learning_rate": 2.0317297850562948e-05,
|
| 766 |
+
"loss": 0.0006,
|
| 767 |
+
"step": 1160
|
| 768 |
+
},
|
| 769 |
+
{
|
| 770 |
+
"epoch": 0.6,
|
| 771 |
+
"learning_rate": 2.006141248720573e-05,
|
| 772 |
+
"loss": 0.0004,
|
| 773 |
+
"step": 1170
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 0.6,
|
| 777 |
+
"learning_rate": 1.9805527123848515e-05,
|
| 778 |
+
"loss": 0.0008,
|
| 779 |
+
"step": 1180
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.61,
|
| 783 |
+
"learning_rate": 1.95496417604913e-05,
|
| 784 |
+
"loss": 0.0005,
|
| 785 |
+
"step": 1190
|
| 786 |
+
},
|
| 787 |
+
{
|
| 788 |
+
"epoch": 0.61,
|
| 789 |
+
"learning_rate": 1.9293756397134085e-05,
|
| 790 |
+
"loss": 0.0014,
|
| 791 |
+
"step": 1200
|
| 792 |
+
},
|
| 793 |
+
{
|
| 794 |
+
"epoch": 0.62,
|
| 795 |
+
"learning_rate": 1.903787103377687e-05,
|
| 796 |
+
"loss": 0.0008,
|
| 797 |
+
"step": 1210
|
| 798 |
+
},
|
| 799 |
+
{
|
| 800 |
+
"epoch": 0.62,
|
| 801 |
+
"learning_rate": 1.8781985670419652e-05,
|
| 802 |
+
"loss": 0.0014,
|
| 803 |
+
"step": 1220
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"epoch": 0.63,
|
| 807 |
+
"learning_rate": 1.8526100307062436e-05,
|
| 808 |
+
"loss": 0.0006,
|
| 809 |
+
"step": 1230
|
| 810 |
+
},
|
| 811 |
+
{
|
| 812 |
+
"epoch": 0.63,
|
| 813 |
+
"learning_rate": 1.8270214943705222e-05,
|
| 814 |
+
"loss": 0.0009,
|
| 815 |
+
"step": 1240
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 0.64,
|
| 819 |
+
"learning_rate": 1.8014329580348006e-05,
|
| 820 |
+
"loss": 0.0006,
|
| 821 |
+
"step": 1250
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.64,
|
| 825 |
+
"eval_avg_sts": 0.7963228217070192,
|
| 826 |
+
"eval_sickr_spearman": 0.772572149375899,
|
| 827 |
+
"eval_stsb_spearman": 0.8200734940381393,
|
| 828 |
+
"step": 1250
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.64,
|
| 832 |
+
"learning_rate": 1.775844421699079e-05,
|
| 833 |
+
"loss": 0.0009,
|
| 834 |
+
"step": 1260
|
| 835 |
+
},
|
| 836 |
+
{
|
| 837 |
+
"epoch": 0.65,
|
| 838 |
+
"learning_rate": 1.7502558853633573e-05,
|
| 839 |
+
"loss": 0.0002,
|
| 840 |
+
"step": 1270
|
| 841 |
+
},
|
| 842 |
+
{
|
| 843 |
+
"epoch": 0.66,
|
| 844 |
+
"learning_rate": 1.7246673490276356e-05,
|
| 845 |
+
"loss": 0.0007,
|
| 846 |
+
"step": 1280
|
| 847 |
+
},
|
| 848 |
+
{
|
| 849 |
+
"epoch": 0.66,
|
| 850 |
+
"learning_rate": 1.699078812691914e-05,
|
| 851 |
+
"loss": 0.0007,
|
| 852 |
+
"step": 1290
|
| 853 |
+
},
|
| 854 |
+
{
|
| 855 |
+
"epoch": 0.67,
|
| 856 |
+
"learning_rate": 1.6734902763561923e-05,
|
| 857 |
+
"loss": 0.0014,
|
| 858 |
+
"step": 1300
|
| 859 |
+
},
|
| 860 |
+
{
|
| 861 |
+
"epoch": 0.67,
|
| 862 |
+
"learning_rate": 1.647901740020471e-05,
|
| 863 |
+
"loss": 0.0011,
|
| 864 |
+
"step": 1310
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 0.68,
|
| 868 |
+
"learning_rate": 1.6223132036847493e-05,
|
| 869 |
+
"loss": 0.0011,
|
| 870 |
+
"step": 1320
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 0.68,
|
| 874 |
+
"learning_rate": 1.5967246673490277e-05,
|
| 875 |
+
"loss": 0.0008,
|
| 876 |
+
"step": 1330
|
| 877 |
+
},
|
| 878 |
+
{
|
| 879 |
+
"epoch": 0.69,
|
| 880 |
+
"learning_rate": 1.571136131013306e-05,
|
| 881 |
+
"loss": 0.001,
|
| 882 |
+
"step": 1340
|
| 883 |
+
},
|
| 884 |
+
{
|
| 885 |
+
"epoch": 0.69,
|
| 886 |
+
"learning_rate": 1.5455475946775847e-05,
|
| 887 |
+
"loss": 0.0017,
|
| 888 |
+
"step": 1350
|
| 889 |
+
},
|
| 890 |
+
{
|
| 891 |
+
"epoch": 0.7,
|
| 892 |
+
"learning_rate": 1.519959058341863e-05,
|
| 893 |
+
"loss": 0.0004,
|
| 894 |
+
"step": 1360
|
| 895 |
+
},
|
| 896 |
+
{
|
| 897 |
+
"epoch": 0.7,
|
| 898 |
+
"learning_rate": 1.4943705220061414e-05,
|
| 899 |
+
"loss": 0.0009,
|
| 900 |
+
"step": 1370
|
| 901 |
+
},
|
| 902 |
+
{
|
| 903 |
+
"epoch": 0.7,
|
| 904 |
+
"eval_avg_sts": 0.794838346221856,
|
| 905 |
+
"eval_sickr_spearman": 0.7716415467855355,
|
| 906 |
+
"eval_stsb_spearman": 0.8180351456581764,
|
| 907 |
+
"step": 1375
|
| 908 |
+
},
|
| 909 |
+
{
|
| 910 |
+
"epoch": 0.71,
|
| 911 |
+
"learning_rate": 1.4687819856704197e-05,
|
| 912 |
+
"loss": 0.0007,
|
| 913 |
+
"step": 1380
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 0.71,
|
| 917 |
+
"learning_rate": 1.4431934493346982e-05,
|
| 918 |
+
"loss": 0.0014,
|
| 919 |
+
"step": 1390
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 0.72,
|
| 923 |
+
"learning_rate": 1.4176049129989766e-05,
|
| 924 |
+
"loss": 0.0007,
|
| 925 |
+
"step": 1400
|
| 926 |
+
},
|
| 927 |
+
{
|
| 928 |
+
"epoch": 0.72,
|
| 929 |
+
"learning_rate": 1.392016376663255e-05,
|
| 930 |
+
"loss": 0.0007,
|
| 931 |
+
"step": 1410
|
| 932 |
+
},
|
| 933 |
+
{
|
| 934 |
+
"epoch": 0.73,
|
| 935 |
+
"learning_rate": 1.3664278403275333e-05,
|
| 936 |
+
"loss": 0.0009,
|
| 937 |
+
"step": 1420
|
| 938 |
+
},
|
| 939 |
+
{
|
| 940 |
+
"epoch": 0.73,
|
| 941 |
+
"learning_rate": 1.3408393039918118e-05,
|
| 942 |
+
"loss": 0.0002,
|
| 943 |
+
"step": 1430
|
| 944 |
+
},
|
| 945 |
+
{
|
| 946 |
+
"epoch": 0.74,
|
| 947 |
+
"learning_rate": 1.3152507676560901e-05,
|
| 948 |
+
"loss": 0.0024,
|
| 949 |
+
"step": 1440
|
| 950 |
+
},
|
| 951 |
+
{
|
| 952 |
+
"epoch": 0.74,
|
| 953 |
+
"learning_rate": 1.2896622313203685e-05,
|
| 954 |
+
"loss": 0.0005,
|
| 955 |
+
"step": 1450
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 0.75,
|
| 959 |
+
"learning_rate": 1.2640736949846468e-05,
|
| 960 |
+
"loss": 0.0016,
|
| 961 |
+
"step": 1460
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 0.75,
|
| 965 |
+
"learning_rate": 1.2384851586489253e-05,
|
| 966 |
+
"loss": 0.0007,
|
| 967 |
+
"step": 1470
|
| 968 |
+
},
|
| 969 |
+
{
|
| 970 |
+
"epoch": 0.76,
|
| 971 |
+
"learning_rate": 1.2128966223132038e-05,
|
| 972 |
+
"loss": 0.0002,
|
| 973 |
+
"step": 1480
|
| 974 |
+
},
|
| 975 |
+
{
|
| 976 |
+
"epoch": 0.76,
|
| 977 |
+
"learning_rate": 1.1873080859774822e-05,
|
| 978 |
+
"loss": 0.0004,
|
| 979 |
+
"step": 1490
|
| 980 |
+
},
|
| 981 |
+
{
|
| 982 |
+
"epoch": 0.77,
|
| 983 |
+
"learning_rate": 1.1617195496417605e-05,
|
| 984 |
+
"loss": 0.0005,
|
| 985 |
+
"step": 1500
|
| 986 |
+
},
|
| 987 |
+
{
|
| 988 |
+
"epoch": 0.77,
|
| 989 |
+
"eval_avg_sts": 0.7997389471860341,
|
| 990 |
+
"eval_sickr_spearman": 0.7761020510827888,
|
| 991 |
+
"eval_stsb_spearman": 0.8233758432892795,
|
| 992 |
+
"step": 1500
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 0.77,
|
| 996 |
+
"learning_rate": 1.1361310133060389e-05,
|
| 997 |
+
"loss": 0.0005,
|
| 998 |
+
"step": 1510
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 0.78,
|
| 1002 |
+
"learning_rate": 1.1105424769703174e-05,
|
| 1003 |
+
"loss": 0.0006,
|
| 1004 |
+
"step": 1520
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 0.78,
|
| 1008 |
+
"learning_rate": 1.0849539406345957e-05,
|
| 1009 |
+
"loss": 0.0011,
|
| 1010 |
+
"step": 1530
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 0.79,
|
| 1014 |
+
"learning_rate": 1.0593654042988742e-05,
|
| 1015 |
+
"loss": 0.0006,
|
| 1016 |
+
"step": 1540
|
| 1017 |
+
},
|
| 1018 |
+
{
|
| 1019 |
+
"epoch": 0.79,
|
| 1020 |
+
"learning_rate": 1.0337768679631526e-05,
|
| 1021 |
+
"loss": 0.001,
|
| 1022 |
+
"step": 1550
|
| 1023 |
+
},
|
| 1024 |
+
{
|
| 1025 |
+
"epoch": 0.8,
|
| 1026 |
+
"learning_rate": 1.0081883316274309e-05,
|
| 1027 |
+
"loss": 0.0011,
|
| 1028 |
+
"step": 1560
|
| 1029 |
+
},
|
| 1030 |
+
{
|
| 1031 |
+
"epoch": 0.8,
|
| 1032 |
+
"learning_rate": 9.825997952917093e-06,
|
| 1033 |
+
"loss": 0.001,
|
| 1034 |
+
"step": 1570
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 0.81,
|
| 1038 |
+
"learning_rate": 9.570112589559878e-06,
|
| 1039 |
+
"loss": 0.0012,
|
| 1040 |
+
"step": 1580
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 0.81,
|
| 1044 |
+
"learning_rate": 9.314227226202661e-06,
|
| 1045 |
+
"loss": 0.0007,
|
| 1046 |
+
"step": 1590
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 0.82,
|
| 1050 |
+
"learning_rate": 9.058341862845446e-06,
|
| 1051 |
+
"loss": 0.001,
|
| 1052 |
+
"step": 1600
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 0.82,
|
| 1056 |
+
"learning_rate": 8.80245649948823e-06,
|
| 1057 |
+
"loss": 0.0005,
|
| 1058 |
+
"step": 1610
|
| 1059 |
+
},
|
| 1060 |
+
{
|
| 1061 |
+
"epoch": 0.83,
|
| 1062 |
+
"learning_rate": 8.546571136131013e-06,
|
| 1063 |
+
"loss": 0.0012,
|
| 1064 |
+
"step": 1620
|
| 1065 |
+
},
|
| 1066 |
+
{
|
| 1067 |
+
"epoch": 0.83,
|
| 1068 |
+
"eval_avg_sts": 0.7990492556729138,
|
| 1069 |
+
"eval_sickr_spearman": 0.7761147312935684,
|
| 1070 |
+
"eval_stsb_spearman": 0.8219837800522592,
|
| 1071 |
+
"step": 1625
|
| 1072 |
+
},
|
| 1073 |
+
{
|
| 1074 |
+
"epoch": 0.83,
|
| 1075 |
+
"learning_rate": 8.290685772773797e-06,
|
| 1076 |
+
"loss": 0.0015,
|
| 1077 |
+
"step": 1630
|
| 1078 |
+
},
|
| 1079 |
+
{
|
| 1080 |
+
"epoch": 0.84,
|
| 1081 |
+
"learning_rate": 8.034800409416582e-06,
|
| 1082 |
+
"loss": 0.0015,
|
| 1083 |
+
"step": 1640
|
| 1084 |
+
},
|
| 1085 |
+
{
|
| 1086 |
+
"epoch": 0.84,
|
| 1087 |
+
"learning_rate": 7.778915046059365e-06,
|
| 1088 |
+
"loss": 0.0005,
|
| 1089 |
+
"step": 1650
|
| 1090 |
+
},
|
| 1091 |
+
{
|
| 1092 |
+
"epoch": 0.85,
|
| 1093 |
+
"learning_rate": 7.52302968270215e-06,
|
| 1094 |
+
"loss": 0.0006,
|
| 1095 |
+
"step": 1660
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 0.85,
|
| 1099 |
+
"learning_rate": 7.267144319344933e-06,
|
| 1100 |
+
"loss": 0.0006,
|
| 1101 |
+
"step": 1670
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 0.86,
|
| 1105 |
+
"learning_rate": 7.011258955987718e-06,
|
| 1106 |
+
"loss": 0.0016,
|
| 1107 |
+
"step": 1680
|
| 1108 |
+
},
|
| 1109 |
+
{
|
| 1110 |
+
"epoch": 0.86,
|
| 1111 |
+
"learning_rate": 6.755373592630501e-06,
|
| 1112 |
+
"loss": 0.0016,
|
| 1113 |
+
"step": 1690
|
| 1114 |
+
},
|
| 1115 |
+
{
|
| 1116 |
+
"epoch": 0.87,
|
| 1117 |
+
"learning_rate": 6.499488229273286e-06,
|
| 1118 |
+
"loss": 0.0017,
|
| 1119 |
+
"step": 1700
|
| 1120 |
+
},
|
| 1121 |
+
{
|
| 1122 |
+
"epoch": 0.88,
|
| 1123 |
+
"learning_rate": 6.24360286591607e-06,
|
| 1124 |
+
"loss": 0.0013,
|
| 1125 |
+
"step": 1710
|
| 1126 |
+
},
|
| 1127 |
+
{
|
| 1128 |
+
"epoch": 0.88,
|
| 1129 |
+
"learning_rate": 5.987717502558854e-06,
|
| 1130 |
+
"loss": 0.0009,
|
| 1131 |
+
"step": 1720
|
| 1132 |
+
},
|
| 1133 |
+
{
|
| 1134 |
+
"epoch": 0.89,
|
| 1135 |
+
"learning_rate": 5.731832139201638e-06,
|
| 1136 |
+
"loss": 0.0007,
|
| 1137 |
+
"step": 1730
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 0.89,
|
| 1141 |
+
"learning_rate": 5.475946775844422e-06,
|
| 1142 |
+
"loss": 0.0002,
|
| 1143 |
+
"step": 1740
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 0.9,
|
| 1147 |
+
"learning_rate": 5.220061412487206e-06,
|
| 1148 |
+
"loss": 0.0004,
|
| 1149 |
+
"step": 1750
|
| 1150 |
+
},
|
| 1151 |
+
{
|
| 1152 |
+
"epoch": 0.9,
|
| 1153 |
+
"eval_avg_sts": 0.7986109641804153,
|
| 1154 |
+
"eval_sickr_spearman": 0.7760801969316344,
|
| 1155 |
+
"eval_stsb_spearman": 0.8211417314291962,
|
| 1156 |
+
"step": 1750
|
| 1157 |
+
},
|
| 1158 |
+
{
|
| 1159 |
+
"epoch": 0.9,
|
| 1160 |
+
"learning_rate": 4.96417604912999e-06,
|
| 1161 |
+
"loss": 0.0008,
|
| 1162 |
+
"step": 1760
|
| 1163 |
+
},
|
| 1164 |
+
{
|
| 1165 |
+
"epoch": 0.91,
|
| 1166 |
+
"learning_rate": 4.708290685772774e-06,
|
| 1167 |
+
"loss": 0.0014,
|
| 1168 |
+
"step": 1770
|
| 1169 |
+
},
|
| 1170 |
+
{
|
| 1171 |
+
"epoch": 0.91,
|
| 1172 |
+
"learning_rate": 4.452405322415558e-06,
|
| 1173 |
+
"loss": 0.0007,
|
| 1174 |
+
"step": 1780
|
| 1175 |
+
},
|
| 1176 |
+
{
|
| 1177 |
+
"epoch": 0.92,
|
| 1178 |
+
"learning_rate": 4.1965199590583416e-06,
|
| 1179 |
+
"loss": 0.0002,
|
| 1180 |
+
"step": 1790
|
| 1181 |
+
},
|
| 1182 |
+
{
|
| 1183 |
+
"epoch": 0.92,
|
| 1184 |
+
"learning_rate": 3.940634595701126e-06,
|
| 1185 |
+
"loss": 0.001,
|
| 1186 |
+
"step": 1800
|
| 1187 |
+
},
|
| 1188 |
+
{
|
| 1189 |
+
"epoch": 0.93,
|
| 1190 |
+
"learning_rate": 3.68474923234391e-06,
|
| 1191 |
+
"loss": 0.0008,
|
| 1192 |
+
"step": 1810
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 0.93,
|
| 1196 |
+
"learning_rate": 3.428863868986694e-06,
|
| 1197 |
+
"loss": 0.0015,
|
| 1198 |
+
"step": 1820
|
| 1199 |
+
},
|
| 1200 |
+
{
|
| 1201 |
+
"epoch": 0.94,
|
| 1202 |
+
"learning_rate": 3.172978505629478e-06,
|
| 1203 |
+
"loss": 0.0002,
|
| 1204 |
+
"step": 1830
|
| 1205 |
+
},
|
| 1206 |
+
{
|
| 1207 |
+
"epoch": 0.94,
|
| 1208 |
+
"learning_rate": 2.917093142272262e-06,
|
| 1209 |
+
"loss": 0.0011,
|
| 1210 |
+
"step": 1840
|
| 1211 |
+
},
|
| 1212 |
+
{
|
| 1213 |
+
"epoch": 0.95,
|
| 1214 |
+
"learning_rate": 2.6612077789150464e-06,
|
| 1215 |
+
"loss": 0.0005,
|
| 1216 |
+
"step": 1850
|
| 1217 |
+
},
|
| 1218 |
+
{
|
| 1219 |
+
"epoch": 0.95,
|
| 1220 |
+
"learning_rate": 2.4053224155578302e-06,
|
| 1221 |
+
"loss": 0.0006,
|
| 1222 |
+
"step": 1860
|
| 1223 |
+
},
|
| 1224 |
+
{
|
| 1225 |
+
"epoch": 0.96,
|
| 1226 |
+
"learning_rate": 2.149437052200614e-06,
|
| 1227 |
+
"loss": 0.0012,
|
| 1228 |
+
"step": 1870
|
| 1229 |
+
},
|
| 1230 |
+
{
|
| 1231 |
+
"epoch": 0.96,
|
| 1232 |
+
"eval_avg_sts": 0.7985301863887153,
|
| 1233 |
+
"eval_sickr_spearman": 0.7759786591831943,
|
| 1234 |
+
"eval_stsb_spearman": 0.8210817135942363,
|
| 1235 |
+
"step": 1875
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 0.96,
|
| 1239 |
+
"learning_rate": 1.8935516888433984e-06,
|
| 1240 |
+
"loss": 0.0004,
|
| 1241 |
+
"step": 1880
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 0.97,
|
| 1245 |
+
"learning_rate": 1.6376663254861822e-06,
|
| 1246 |
+
"loss": 0.0009,
|
| 1247 |
+
"step": 1890
|
| 1248 |
+
},
|
| 1249 |
+
{
|
| 1250 |
+
"epoch": 0.97,
|
| 1251 |
+
"learning_rate": 1.3817809621289663e-06,
|
| 1252 |
+
"loss": 0.0008,
|
| 1253 |
+
"step": 1900
|
| 1254 |
+
},
|
| 1255 |
+
{
|
| 1256 |
+
"epoch": 0.98,
|
| 1257 |
+
"learning_rate": 1.1258955987717504e-06,
|
| 1258 |
+
"loss": 0.001,
|
| 1259 |
+
"step": 1910
|
| 1260 |
+
},
|
| 1261 |
+
{
|
| 1262 |
+
"epoch": 0.98,
|
| 1263 |
+
"learning_rate": 8.700102354145343e-07,
|
| 1264 |
+
"loss": 0.0005,
|
| 1265 |
+
"step": 1920
|
| 1266 |
+
},
|
| 1267 |
+
{
|
| 1268 |
+
"epoch": 0.99,
|
| 1269 |
+
"learning_rate": 6.141248720573183e-07,
|
| 1270 |
+
"loss": 0.0002,
|
| 1271 |
+
"step": 1930
|
| 1272 |
+
},
|
| 1273 |
+
{
|
| 1274 |
+
"epoch": 0.99,
|
| 1275 |
+
"learning_rate": 3.5823950870010235e-07,
|
| 1276 |
+
"loss": 0.0005,
|
| 1277 |
+
"step": 1940
|
| 1278 |
+
},
|
| 1279 |
+
{
|
| 1280 |
+
"epoch": 1.0,
|
| 1281 |
+
"learning_rate": 1.0235414534288639e-07,
|
| 1282 |
+
"loss": 0.0004,
|
| 1283 |
+
"step": 1950
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 1.0,
|
| 1287 |
+
"step": 1954,
|
| 1288 |
+
"train_runtime": 3451.5882,
|
| 1289 |
+
"train_samples_per_second": 0.566
|
| 1290 |
+
}
|
| 1291 |
+
],
|
| 1292 |
+
"max_steps": 1954,
|
| 1293 |
+
"num_train_epochs": 1,
|
| 1294 |
+
"total_flos": 129098564172251136,
|
| 1295 |
+
"trial_name": null,
|
| 1296 |
+
"trial_params": null
|
| 1297 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:efabd960e72b358593c2aab050363e5e82b7098586f2274261ca2d54e2dfdc6a
|
| 3 |
+
size 2287
|
vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|