demdecuong commited on
Commit ·
8800bcc
1
Parent(s): bf3b39b
update weight
Browse files- config.json +24 -0
- eval_results.txt +12 -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 +621 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "result/my-unsup-simcse-bert-base-uncased",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"BertModel"
|
| 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": 768,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 3072,
|
| 13 |
+
"layer_norm_eps": 1e-12,
|
| 14 |
+
"max_position_embeddings": 512,
|
| 15 |
+
"model_type": "bert",
|
| 16 |
+
"num_attention_heads": 12,
|
| 17 |
+
"num_hidden_layers": 12,
|
| 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 |
+
}
|
eval_results.txt
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
epoch = 1.0
|
| 2 |
+
eval_CR = 88.36
|
| 3 |
+
eval_MPQA = 89.04
|
| 4 |
+
eval_MR = 81.06
|
| 5 |
+
eval_MRPC = 76.06
|
| 6 |
+
eval_SST2 = 87.16
|
| 7 |
+
eval_SUBJ = 99.65
|
| 8 |
+
eval_TREC = 79.7
|
| 9 |
+
eval_avg_sts = 0.8421121351950032
|
| 10 |
+
eval_avg_transfer = 85.8614285714286
|
| 11 |
+
eval_sickr_spearman = 0.820764443190438
|
| 12 |
+
eval_stsb_spearman = 0.8634598271995685
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2880a41c4eb9a080da0c034f8df451798181a3ea8ee839cb33f75289df3417d8
|
| 3 |
+
size 875982637
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ac10a7342bcb924fa670cac5d0ce8e53792e48f3dc951922c6b5aa969d0145cb
|
| 3 |
+
size 438000759
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c34cd051aa6ad6fcf6928a695e010571d3c11ed8823b2adfbdc9e20bb28bc4c0
|
| 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": "princeton-nlp/sup-simcse-bert-base-uncased", "special_tokens_map_file": "/home/minh/.cache/huggingface/transformers/8c406286308d13c3a53bc10c3d1a2d5113d4e46a34cb6ec5ee06e5d9762c462c.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d", "do_basic_tokenize": true, "never_split": null}
|
train_results.txt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
epoch = 1.0
|
| 2 |
+
train_runtime = 4791.076
|
| 3 |
+
train_samples_per_second = 1.859
|
trainer_state.json
ADDED
|
@@ -0,0 +1,621 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.8634598271995685,
|
| 3 |
+
"best_model_checkpoint": "result/my-unsup-simcse-bert-base-uncased",
|
| 4 |
+
"epoch": 1.0,
|
| 5 |
+
"global_step": 8909,
|
| 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 |
+
"eval_avg_sts": 0.8421121351950032,
|
| 13 |
+
"eval_sickr_spearman": 0.820764443190438,
|
| 14 |
+
"eval_stsb_spearman": 0.8634598271995685,
|
| 15 |
+
"step": 125
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.03,
|
| 19 |
+
"eval_avg_sts": 0.8272876260858589,
|
| 20 |
+
"eval_sickr_spearman": 0.8016297649684213,
|
| 21 |
+
"eval_stsb_spearman": 0.8529454872032965,
|
| 22 |
+
"step": 250
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"epoch": 0.04,
|
| 26 |
+
"eval_avg_sts": 0.8349849313583235,
|
| 27 |
+
"eval_sickr_spearman": 0.8131009368626829,
|
| 28 |
+
"eval_stsb_spearman": 0.8568689258539641,
|
| 29 |
+
"step": 375
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"epoch": 0.06,
|
| 33 |
+
"learning_rate": 2.831630935009541e-05,
|
| 34 |
+
"loss": 0.0001,
|
| 35 |
+
"step": 500
|
| 36 |
+
},
|
| 37 |
+
{
|
| 38 |
+
"epoch": 0.06,
|
| 39 |
+
"eval_avg_sts": 0.8324840345106272,
|
| 40 |
+
"eval_sickr_spearman": 0.8115295033169321,
|
| 41 |
+
"eval_stsb_spearman": 0.8534385657043223,
|
| 42 |
+
"step": 500
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
+
"epoch": 0.07,
|
| 46 |
+
"eval_avg_sts": 0.8342309434678776,
|
| 47 |
+
"eval_sickr_spearman": 0.8101102323005372,
|
| 48 |
+
"eval_stsb_spearman": 0.858351654635218,
|
| 49 |
+
"step": 625
|
| 50 |
+
},
|
| 51 |
+
{
|
| 52 |
+
"epoch": 0.08,
|
| 53 |
+
"eval_avg_sts": 0.8358817878428014,
|
| 54 |
+
"eval_sickr_spearman": 0.8152456216040973,
|
| 55 |
+
"eval_stsb_spearman": 0.8565179540815056,
|
| 56 |
+
"step": 750
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 0.1,
|
| 60 |
+
"eval_avg_sts": 0.8337641137899596,
|
| 61 |
+
"eval_sickr_spearman": 0.8073721233008548,
|
| 62 |
+
"eval_stsb_spearman": 0.8601561042790645,
|
| 63 |
+
"step": 875
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 0.11,
|
| 67 |
+
"learning_rate": 2.663261870019082e-05,
|
| 68 |
+
"loss": 0.0001,
|
| 69 |
+
"step": 1000
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.11,
|
| 73 |
+
"eval_avg_sts": 0.8318439410449322,
|
| 74 |
+
"eval_sickr_spearman": 0.811522586838325,
|
| 75 |
+
"eval_stsb_spearman": 0.8521652952515394,
|
| 76 |
+
"step": 1000
|
| 77 |
+
},
|
| 78 |
+
{
|
| 79 |
+
"epoch": 0.13,
|
| 80 |
+
"eval_avg_sts": 0.8304909909975411,
|
| 81 |
+
"eval_sickr_spearman": 0.8131338381671679,
|
| 82 |
+
"eval_stsb_spearman": 0.8478481438279143,
|
| 83 |
+
"step": 1125
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
"epoch": 0.14,
|
| 87 |
+
"eval_avg_sts": 0.829039779377259,
|
| 88 |
+
"eval_sickr_spearman": 0.8045460213233376,
|
| 89 |
+
"eval_stsb_spearman": 0.8535335374311805,
|
| 90 |
+
"step": 1250
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"epoch": 0.15,
|
| 94 |
+
"eval_avg_sts": 0.8307787364299535,
|
| 95 |
+
"eval_sickr_spearman": 0.8137019980660793,
|
| 96 |
+
"eval_stsb_spearman": 0.8478554747938275,
|
| 97 |
+
"step": 1375
|
| 98 |
+
},
|
| 99 |
+
{
|
| 100 |
+
"epoch": 0.17,
|
| 101 |
+
"learning_rate": 2.4948928050286226e-05,
|
| 102 |
+
"loss": 0.0001,
|
| 103 |
+
"step": 1500
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"epoch": 0.17,
|
| 107 |
+
"eval_avg_sts": 0.831658365337354,
|
| 108 |
+
"eval_sickr_spearman": 0.8159185373352453,
|
| 109 |
+
"eval_stsb_spearman": 0.8473981933394628,
|
| 110 |
+
"step": 1500
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 0.18,
|
| 114 |
+
"eval_avg_sts": 0.8294868187051994,
|
| 115 |
+
"eval_sickr_spearman": 0.8144402841262847,
|
| 116 |
+
"eval_stsb_spearman": 0.8445333532841142,
|
| 117 |
+
"step": 1625
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 0.2,
|
| 121 |
+
"eval_avg_sts": 0.8268186287541337,
|
| 122 |
+
"eval_sickr_spearman": 0.8082519570169981,
|
| 123 |
+
"eval_stsb_spearman": 0.8453853004912691,
|
| 124 |
+
"step": 1750
|
| 125 |
+
},
|
| 126 |
+
{
|
| 127 |
+
"epoch": 0.21,
|
| 128 |
+
"eval_avg_sts": 0.8313195396147719,
|
| 129 |
+
"eval_sickr_spearman": 0.8177095210456699,
|
| 130 |
+
"eval_stsb_spearman": 0.844929558183874,
|
| 131 |
+
"step": 1875
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 0.22,
|
| 135 |
+
"learning_rate": 2.3265237400381636e-05,
|
| 136 |
+
"loss": 0.0001,
|
| 137 |
+
"step": 2000
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 0.22,
|
| 141 |
+
"eval_avg_sts": 0.8266715243566689,
|
| 142 |
+
"eval_sickr_spearman": 0.8150033527284436,
|
| 143 |
+
"eval_stsb_spearman": 0.8383396959848942,
|
| 144 |
+
"step": 2000
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 0.24,
|
| 148 |
+
"eval_avg_sts": 0.8293624623711227,
|
| 149 |
+
"eval_sickr_spearman": 0.8175795488851783,
|
| 150 |
+
"eval_stsb_spearman": 0.841145375857067,
|
| 151 |
+
"step": 2125
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"epoch": 0.25,
|
| 155 |
+
"eval_avg_sts": 0.8322036045569485,
|
| 156 |
+
"eval_sickr_spearman": 0.8175970802372032,
|
| 157 |
+
"eval_stsb_spearman": 0.8468101288766937,
|
| 158 |
+
"step": 2250
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 0.27,
|
| 162 |
+
"eval_avg_sts": 0.8314845597378098,
|
| 163 |
+
"eval_sickr_spearman": 0.8156567678324077,
|
| 164 |
+
"eval_stsb_spearman": 0.8473123516432118,
|
| 165 |
+
"step": 2375
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.28,
|
| 169 |
+
"learning_rate": 2.1581546750477045e-05,
|
| 170 |
+
"loss": 0.0001,
|
| 171 |
+
"step": 2500
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.28,
|
| 175 |
+
"eval_avg_sts": 0.8298162063992072,
|
| 176 |
+
"eval_sickr_spearman": 0.8121817176433601,
|
| 177 |
+
"eval_stsb_spearman": 0.8474506951550543,
|
| 178 |
+
"step": 2500
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.29,
|
| 182 |
+
"eval_avg_sts": 0.8288600170060807,
|
| 183 |
+
"eval_sickr_spearman": 0.8109708535761053,
|
| 184 |
+
"eval_stsb_spearman": 0.8467491804360561,
|
| 185 |
+
"step": 2625
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.31,
|
| 189 |
+
"eval_avg_sts": 0.8307741487193253,
|
| 190 |
+
"eval_sickr_spearman": 0.8109006321058029,
|
| 191 |
+
"eval_stsb_spearman": 0.8506476653328477,
|
| 192 |
+
"step": 2750
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.32,
|
| 196 |
+
"eval_avg_sts": 0.8299073386983135,
|
| 197 |
+
"eval_sickr_spearman": 0.8106493814141802,
|
| 198 |
+
"eval_stsb_spearman": 0.8491652959824467,
|
| 199 |
+
"step": 2875
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.34,
|
| 203 |
+
"learning_rate": 1.9897856100572458e-05,
|
| 204 |
+
"loss": 0.0,
|
| 205 |
+
"step": 3000
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.34,
|
| 209 |
+
"eval_avg_sts": 0.82947527087573,
|
| 210 |
+
"eval_sickr_spearman": 0.808709645382602,
|
| 211 |
+
"eval_stsb_spearman": 0.8502408963688581,
|
| 212 |
+
"step": 3000
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.35,
|
| 216 |
+
"eval_avg_sts": 0.8247286673217802,
|
| 217 |
+
"eval_sickr_spearman": 0.8044403048690724,
|
| 218 |
+
"eval_stsb_spearman": 0.8450170297744881,
|
| 219 |
+
"step": 3125
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.36,
|
| 223 |
+
"eval_avg_sts": 0.8219332102471997,
|
| 224 |
+
"eval_sickr_spearman": 0.806001651883521,
|
| 225 |
+
"eval_stsb_spearman": 0.8378647686108784,
|
| 226 |
+
"step": 3250
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.38,
|
| 230 |
+
"eval_avg_sts": 0.8111430899888176,
|
| 231 |
+
"eval_sickr_spearman": 0.7991139439061943,
|
| 232 |
+
"eval_stsb_spearman": 0.8231722360714409,
|
| 233 |
+
"step": 3375
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.39,
|
| 237 |
+
"learning_rate": 1.8214165450667864e-05,
|
| 238 |
+
"loss": 0.0001,
|
| 239 |
+
"step": 3500
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 0.39,
|
| 243 |
+
"eval_avg_sts": 0.807692571896139,
|
| 244 |
+
"eval_sickr_spearman": 0.7927039052326695,
|
| 245 |
+
"eval_stsb_spearman": 0.8226812385596084,
|
| 246 |
+
"step": 3500
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 0.41,
|
| 250 |
+
"eval_avg_sts": 0.8135397552735281,
|
| 251 |
+
"eval_sickr_spearman": 0.7942567027110624,
|
| 252 |
+
"eval_stsb_spearman": 0.8328228078359937,
|
| 253 |
+
"step": 3625
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"epoch": 0.42,
|
| 257 |
+
"eval_avg_sts": 0.8047796899452875,
|
| 258 |
+
"eval_sickr_spearman": 0.7930084224157872,
|
| 259 |
+
"eval_stsb_spearman": 0.8165509574747878,
|
| 260 |
+
"step": 3750
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 0.43,
|
| 264 |
+
"eval_avg_sts": 0.8132531030215364,
|
| 265 |
+
"eval_sickr_spearman": 0.7956294796212651,
|
| 266 |
+
"eval_stsb_spearman": 0.8308767264218079,
|
| 267 |
+
"step": 3875
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 0.45,
|
| 271 |
+
"learning_rate": 1.6530474800763274e-05,
|
| 272 |
+
"loss": 0.0001,
|
| 273 |
+
"step": 4000
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"epoch": 0.45,
|
| 277 |
+
"eval_avg_sts": 0.8062306897971802,
|
| 278 |
+
"eval_sickr_spearman": 0.7966211297415562,
|
| 279 |
+
"eval_stsb_spearman": 0.8158402498528041,
|
| 280 |
+
"step": 4000
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"epoch": 0.46,
|
| 284 |
+
"eval_avg_sts": 0.8163206710413518,
|
| 285 |
+
"eval_sickr_spearman": 0.80029277122879,
|
| 286 |
+
"eval_stsb_spearman": 0.8323485708539136,
|
| 287 |
+
"step": 4125
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"epoch": 0.48,
|
| 291 |
+
"eval_avg_sts": 0.8165420284081878,
|
| 292 |
+
"eval_sickr_spearman": 0.8011630467557471,
|
| 293 |
+
"eval_stsb_spearman": 0.8319210100606285,
|
| 294 |
+
"step": 4250
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"epoch": 0.49,
|
| 298 |
+
"eval_avg_sts": 0.8187419551614288,
|
| 299 |
+
"eval_sickr_spearman": 0.8018022926847871,
|
| 300 |
+
"eval_stsb_spearman": 0.8356816176380705,
|
| 301 |
+
"step": 4375
|
| 302 |
+
},
|
| 303 |
+
{
|
| 304 |
+
"epoch": 0.51,
|
| 305 |
+
"learning_rate": 1.4846784150858683e-05,
|
| 306 |
+
"loss": 0.0,
|
| 307 |
+
"step": 4500
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"epoch": 0.51,
|
| 311 |
+
"eval_avg_sts": 0.8195743034210232,
|
| 312 |
+
"eval_sickr_spearman": 0.8021342836579273,
|
| 313 |
+
"eval_stsb_spearman": 0.8370143231841193,
|
| 314 |
+
"step": 4500
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 0.52,
|
| 318 |
+
"eval_avg_sts": 0.8193325419945161,
|
| 319 |
+
"eval_sickr_spearman": 0.8013091573663218,
|
| 320 |
+
"eval_stsb_spearman": 0.8373559266227103,
|
| 321 |
+
"step": 4625
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 0.53,
|
| 325 |
+
"eval_avg_sts": 0.8183510820774517,
|
| 326 |
+
"eval_sickr_spearman": 0.7999737966841394,
|
| 327 |
+
"eval_stsb_spearman": 0.836728367470764,
|
| 328 |
+
"step": 4750
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"epoch": 0.55,
|
| 332 |
+
"eval_avg_sts": 0.8168697079122389,
|
| 333 |
+
"eval_sickr_spearman": 0.7952836076598091,
|
| 334 |
+
"eval_stsb_spearman": 0.8384558081646686,
|
| 335 |
+
"step": 4875
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 0.56,
|
| 339 |
+
"learning_rate": 1.3163093500954093e-05,
|
| 340 |
+
"loss": 0.0001,
|
| 341 |
+
"step": 5000
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 0.56,
|
| 345 |
+
"eval_avg_sts": 0.8170635469307033,
|
| 346 |
+
"eval_sickr_spearman": 0.796297256024559,
|
| 347 |
+
"eval_stsb_spearman": 0.8378298378368476,
|
| 348 |
+
"step": 5000
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"epoch": 0.58,
|
| 352 |
+
"eval_avg_sts": 0.8188600980624421,
|
| 353 |
+
"eval_sickr_spearman": 0.7980452999302978,
|
| 354 |
+
"eval_stsb_spearman": 0.8396748961945864,
|
| 355 |
+
"step": 5125
|
| 356 |
+
},
|
| 357 |
+
{
|
| 358 |
+
"epoch": 0.59,
|
| 359 |
+
"eval_avg_sts": 0.8179261372960408,
|
| 360 |
+
"eval_sickr_spearman": 0.7982228709123145,
|
| 361 |
+
"eval_stsb_spearman": 0.8376294036797671,
|
| 362 |
+
"step": 5250
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 0.6,
|
| 366 |
+
"eval_avg_sts": 0.8152302038847802,
|
| 367 |
+
"eval_sickr_spearman": 0.8007572319796964,
|
| 368 |
+
"eval_stsb_spearman": 0.829703175789864,
|
| 369 |
+
"step": 5375
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 0.62,
|
| 373 |
+
"learning_rate": 1.14794028510495e-05,
|
| 374 |
+
"loss": 0.0,
|
| 375 |
+
"step": 5500
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 0.62,
|
| 379 |
+
"eval_avg_sts": 0.8173976618782237,
|
| 380 |
+
"eval_sickr_spearman": 0.8015423483638039,
|
| 381 |
+
"eval_stsb_spearman": 0.8332529753926434,
|
| 382 |
+
"step": 5500
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"epoch": 0.63,
|
| 386 |
+
"eval_avg_sts": 0.8175197579562594,
|
| 387 |
+
"eval_sickr_spearman": 0.8017781330407636,
|
| 388 |
+
"eval_stsb_spearman": 0.8332613828717551,
|
| 389 |
+
"step": 5625
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 0.65,
|
| 393 |
+
"eval_avg_sts": 0.8155439357729999,
|
| 394 |
+
"eval_sickr_spearman": 0.8033175778729565,
|
| 395 |
+
"eval_stsb_spearman": 0.8277702936730432,
|
| 396 |
+
"step": 5750
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 0.66,
|
| 400 |
+
"eval_avg_sts": 0.816245667230588,
|
| 401 |
+
"eval_sickr_spearman": 0.8031514863241836,
|
| 402 |
+
"eval_stsb_spearman": 0.8293398481369924,
|
| 403 |
+
"step": 5875
|
| 404 |
+
},
|
| 405 |
+
{
|
| 406 |
+
"epoch": 0.67,
|
| 407 |
+
"learning_rate": 9.79571220114491e-06,
|
| 408 |
+
"loss": 0.0,
|
| 409 |
+
"step": 6000
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.67,
|
| 413 |
+
"eval_avg_sts": 0.8173247407144557,
|
| 414 |
+
"eval_sickr_spearman": 0.802800715190381,
|
| 415 |
+
"eval_stsb_spearman": 0.8318487662385303,
|
| 416 |
+
"step": 6000
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.69,
|
| 420 |
+
"eval_avg_sts": 0.8175691152062283,
|
| 421 |
+
"eval_sickr_spearman": 0.8076647768019173,
|
| 422 |
+
"eval_stsb_spearman": 0.8274734536105394,
|
| 423 |
+
"step": 6125
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.7,
|
| 427 |
+
"eval_avg_sts": 0.8185213107446343,
|
| 428 |
+
"eval_sickr_spearman": 0.805431666802755,
|
| 429 |
+
"eval_stsb_spearman": 0.8316109546865137,
|
| 430 |
+
"step": 6250
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.72,
|
| 434 |
+
"eval_avg_sts": 0.8186800157417145,
|
| 435 |
+
"eval_sickr_spearman": 0.8050108663230556,
|
| 436 |
+
"eval_stsb_spearman": 0.8323491651603734,
|
| 437 |
+
"step": 6375
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.73,
|
| 441 |
+
"learning_rate": 8.112021551240318e-06,
|
| 442 |
+
"loss": 0.0001,
|
| 443 |
+
"step": 6500
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.73,
|
| 447 |
+
"eval_avg_sts": 0.8188678392487967,
|
| 448 |
+
"eval_sickr_spearman": 0.8050220575696909,
|
| 449 |
+
"eval_stsb_spearman": 0.8327136209279026,
|
| 450 |
+
"step": 6500
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.74,
|
| 454 |
+
"eval_avg_sts": 0.8176842353525476,
|
| 455 |
+
"eval_sickr_spearman": 0.805601264621933,
|
| 456 |
+
"eval_stsb_spearman": 0.8297672060831622,
|
| 457 |
+
"step": 6625
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.76,
|
| 461 |
+
"eval_avg_sts": 0.8176889108605423,
|
| 462 |
+
"eval_sickr_spearman": 0.8056947811764331,
|
| 463 |
+
"eval_stsb_spearman": 0.8296830405446516,
|
| 464 |
+
"step": 6750
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.77,
|
| 468 |
+
"eval_avg_sts": 0.8196884531122979,
|
| 469 |
+
"eval_sickr_spearman": 0.8050268606798346,
|
| 470 |
+
"eval_stsb_spearman": 0.8343500455447611,
|
| 471 |
+
"step": 6875
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.79,
|
| 475 |
+
"learning_rate": 6.428330901335728e-06,
|
| 476 |
+
"loss": 0.0001,
|
| 477 |
+
"step": 7000
|
| 478 |
+
},
|
| 479 |
+
{
|
| 480 |
+
"epoch": 0.79,
|
| 481 |
+
"eval_avg_sts": 0.8202633038048985,
|
| 482 |
+
"eval_sickr_spearman": 0.8042502938317833,
|
| 483 |
+
"eval_stsb_spearman": 0.8362763137780139,
|
| 484 |
+
"step": 7000
|
| 485 |
+
},
|
| 486 |
+
{
|
| 487 |
+
"epoch": 0.8,
|
| 488 |
+
"eval_avg_sts": 0.819155219728974,
|
| 489 |
+
"eval_sickr_spearman": 0.8032414485771772,
|
| 490 |
+
"eval_stsb_spearman": 0.8350689908807707,
|
| 491 |
+
"step": 7125
|
| 492 |
+
},
|
| 493 |
+
{
|
| 494 |
+
"epoch": 0.81,
|
| 495 |
+
"eval_avg_sts": 0.8185946178321757,
|
| 496 |
+
"eval_sickr_spearman": 0.8011783206460045,
|
| 497 |
+
"eval_stsb_spearman": 0.836010915018347,
|
| 498 |
+
"step": 7250
|
| 499 |
+
},
|
| 500 |
+
{
|
| 501 |
+
"epoch": 0.83,
|
| 502 |
+
"eval_avg_sts": 0.8201412949742906,
|
| 503 |
+
"eval_sickr_spearman": 0.8025524424270474,
|
| 504 |
+
"eval_stsb_spearman": 0.8377301475215336,
|
| 505 |
+
"step": 7375
|
| 506 |
+
},
|
| 507 |
+
{
|
| 508 |
+
"epoch": 0.84,
|
| 509 |
+
"learning_rate": 4.744640251431137e-06,
|
| 510 |
+
"loss": 0.0,
|
| 511 |
+
"step": 7500
|
| 512 |
+
},
|
| 513 |
+
{
|
| 514 |
+
"epoch": 0.84,
|
| 515 |
+
"eval_avg_sts": 0.8212551171670207,
|
| 516 |
+
"eval_sickr_spearman": 0.8034978385966538,
|
| 517 |
+
"eval_stsb_spearman": 0.8390123957373876,
|
| 518 |
+
"step": 7500
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 0.86,
|
| 522 |
+
"eval_avg_sts": 0.818850668226643,
|
| 523 |
+
"eval_sickr_spearman": 0.8027982175731062,
|
| 524 |
+
"eval_stsb_spearman": 0.8349031188801797,
|
| 525 |
+
"step": 7625
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 0.87,
|
| 529 |
+
"eval_avg_sts": 0.8184223281084055,
|
| 530 |
+
"eval_sickr_spearman": 0.8041640299736004,
|
| 531 |
+
"eval_stsb_spearman": 0.8326806262432108,
|
| 532 |
+
"step": 7750
|
| 533 |
+
},
|
| 534 |
+
{
|
| 535 |
+
"epoch": 0.88,
|
| 536 |
+
"eval_avg_sts": 0.818812249944629,
|
| 537 |
+
"eval_sickr_spearman": 0.8036731040858015,
|
| 538 |
+
"eval_stsb_spearman": 0.8339513958034565,
|
| 539 |
+
"step": 7875
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 0.9,
|
| 543 |
+
"learning_rate": 3.0609496015265466e-06,
|
| 544 |
+
"loss": 0.0,
|
| 545 |
+
"step": 8000
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 0.9,
|
| 549 |
+
"eval_avg_sts": 0.8204302396512207,
|
| 550 |
+
"eval_sickr_spearman": 0.8052288794924833,
|
| 551 |
+
"eval_stsb_spearman": 0.8356315998099582,
|
| 552 |
+
"step": 8000
|
| 553 |
+
},
|
| 554 |
+
{
|
| 555 |
+
"epoch": 0.91,
|
| 556 |
+
"eval_avg_sts": 0.8209129013628449,
|
| 557 |
+
"eval_sickr_spearman": 0.8057768663287909,
|
| 558 |
+
"eval_stsb_spearman": 0.8360489363968989,
|
| 559 |
+
"step": 8125
|
| 560 |
+
},
|
| 561 |
+
{
|
| 562 |
+
"epoch": 0.93,
|
| 563 |
+
"eval_avg_sts": 0.8191227480526566,
|
| 564 |
+
"eval_sickr_spearman": 0.8051447290027637,
|
| 565 |
+
"eval_stsb_spearman": 0.8331007671025495,
|
| 566 |
+
"step": 8250
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 0.94,
|
| 570 |
+
"eval_avg_sts": 0.8188352393246607,
|
| 571 |
+
"eval_sickr_spearman": 0.804106104465266,
|
| 572 |
+
"eval_stsb_spearman": 0.8335643741840555,
|
| 573 |
+
"step": 8375
|
| 574 |
+
},
|
| 575 |
+
{
|
| 576 |
+
"epoch": 0.95,
|
| 577 |
+
"learning_rate": 1.3772589516219555e-06,
|
| 578 |
+
"loss": 0.0001,
|
| 579 |
+
"step": 8500
|
| 580 |
+
},
|
| 581 |
+
{
|
| 582 |
+
"epoch": 0.95,
|
| 583 |
+
"eval_avg_sts": 0.8199749779902297,
|
| 584 |
+
"eval_sickr_spearman": 0.8036332863027092,
|
| 585 |
+
"eval_stsb_spearman": 0.8363166696777501,
|
| 586 |
+
"step": 8500
|
| 587 |
+
},
|
| 588 |
+
{
|
| 589 |
+
"epoch": 0.97,
|
| 590 |
+
"eval_avg_sts": 0.8199803565006372,
|
| 591 |
+
"eval_sickr_spearman": 0.8035859756677927,
|
| 592 |
+
"eval_stsb_spearman": 0.8363747373334816,
|
| 593 |
+
"step": 8625
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"epoch": 0.98,
|
| 597 |
+
"eval_avg_sts": 0.8201168764945796,
|
| 598 |
+
"eval_sickr_spearman": 0.803825650863969,
|
| 599 |
+
"eval_stsb_spearman": 0.8364081021251903,
|
| 600 |
+
"step": 8750
|
| 601 |
+
},
|
| 602 |
+
{
|
| 603 |
+
"epoch": 1.0,
|
| 604 |
+
"eval_avg_sts": 0.820079455438296,
|
| 605 |
+
"eval_sickr_spearman": 0.8038641237762209,
|
| 606 |
+
"eval_stsb_spearman": 0.8362947871003711,
|
| 607 |
+
"step": 8875
|
| 608 |
+
},
|
| 609 |
+
{
|
| 610 |
+
"epoch": 1.0,
|
| 611 |
+
"step": 8909,
|
| 612 |
+
"train_runtime": 4791.076,
|
| 613 |
+
"train_samples_per_second": 1.859
|
| 614 |
+
}
|
| 615 |
+
],
|
| 616 |
+
"max_steps": 8909,
|
| 617 |
+
"num_train_epochs": 1,
|
| 618 |
+
"total_flos": 24044429181321216,
|
| 619 |
+
"trial_name": null,
|
| 620 |
+
"trial_params": null
|
| 621 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d0e37bdcc4b6228191acee7df6a97d6fd66af2b815834823cdf34bfad2a2ba0e
|
| 3 |
+
size 2095
|
vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|