Commit
·
f1e06fe
1
Parent(s):
dc86b69
Upload 10 files
Browse files- config.json +3 -4
- merges.txt +0 -0
- optimizer.pt +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 +104 -0
- training_args.bin +3 -0
- vocab.json +0 -0
config.json
CHANGED
|
@@ -1,11 +1,10 @@
|
|
| 1 |
{
|
| 2 |
-
"_name_or_path": "/content/
|
| 3 |
"architectures": [
|
| 4 |
"RobertaModel"
|
| 5 |
],
|
| 6 |
"attention_probs_dropout_prob": 0.1,
|
| 7 |
"bos_token_id": 0,
|
| 8 |
-
"classifier_dropout": null,
|
| 9 |
"eos_token_id": 2,
|
| 10 |
"gradient_checkpointing": false,
|
| 11 |
"hidden_act": "gelu",
|
|
@@ -20,8 +19,8 @@
|
|
| 20 |
"num_hidden_layers": 24,
|
| 21 |
"pad_token_id": 1,
|
| 22 |
"position_embedding_type": "absolute",
|
| 23 |
-
"transformers_version": "4.
|
| 24 |
"type_vocab_size": 1,
|
| 25 |
"use_cache": true,
|
| 26 |
"vocab_size": 50265
|
| 27 |
-
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"_name_or_path": "/content/result/unsup-simcse-roberta-large-semeval2016-laptops",
|
| 3 |
"architectures": [
|
| 4 |
"RobertaModel"
|
| 5 |
],
|
| 6 |
"attention_probs_dropout_prob": 0.1,
|
| 7 |
"bos_token_id": 0,
|
|
|
|
| 8 |
"eos_token_id": 2,
|
| 9 |
"gradient_checkpointing": false,
|
| 10 |
"hidden_act": "gelu",
|
|
|
|
| 19 |
"num_hidden_layers": 24,
|
| 20 |
"pad_token_id": 1,
|
| 21 |
"position_embedding_type": "absolute",
|
| 22 |
+
"transformers_version": "4.2.1",
|
| 23 |
"type_vocab_size": 1,
|
| 24 |
"use_cache": true,
|
| 25 |
"vocab_size": 50265
|
| 26 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4c5e4cc69d5eeefd30be272fb156446a064a78ba0073fa02d344fc36082634ed
|
| 3 |
+
size 2843107269
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1d3b3d7e38435936580d2ba0ab64219d22eec990ee495bd4fcb0f546f49e4910
|
| 3 |
+
size 627
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "add_prefix_space": false, "errors": "replace", "sep_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "cls_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "pad_token": {"content": "<pad>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "model_max_length": 512, "name_or_path": "princeton-nlp/unsup-simcse-roberta-large", "special_tokens_map_file": "/root/.cache/huggingface/transformers/6d59ec8e128c32fbf5663dad4484f60104c7f3b2520047fbaf57bc63b260e0fd.a11ebb04664c067c8fe5ef8f8068b0f721263414a26058692f7b2e4ba2a1b342"}
|
train_results.txt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
epoch = 30.0
|
| 2 |
+
train_runtime = 2594.2478
|
| 3 |
+
train_samples_per_second = 0.463
|
trainer_state.json
ADDED
|
@@ -0,0 +1,104 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.8157061201962169,
|
| 3 |
+
"best_model_checkpoint": "/content/result/unsup-simcse-roberta-large-semeval2016-laptops",
|
| 4 |
+
"epoch": 30.0,
|
| 5 |
+
"global_step": 1200,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 3.12,
|
| 12 |
+
"eval_avg_sts": 0.7679912497622495,
|
| 13 |
+
"eval_sickr_spearman": 0.7276956826491402,
|
| 14 |
+
"eval_stsb_spearman": 0.8082868168753589,
|
| 15 |
+
"step": 125
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 6.25,
|
| 19 |
+
"eval_avg_sts": 0.7686040961574563,
|
| 20 |
+
"eval_sickr_spearman": 0.7215020721186955,
|
| 21 |
+
"eval_stsb_spearman": 0.8157061201962169,
|
| 22 |
+
"step": 250
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"epoch": 9.38,
|
| 26 |
+
"eval_avg_sts": 0.7750921030285816,
|
| 27 |
+
"eval_sickr_spearman": 0.740750295864512,
|
| 28 |
+
"eval_stsb_spearman": 0.8094339101926511,
|
| 29 |
+
"step": 375
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"epoch": 12.5,
|
| 33 |
+
"learning_rate": 2.916666666666667e-05,
|
| 34 |
+
"loss": 0.0019,
|
| 35 |
+
"step": 500
|
| 36 |
+
},
|
| 37 |
+
{
|
| 38 |
+
"epoch": 12.5,
|
| 39 |
+
"eval_avg_sts": 0.7645168841110166,
|
| 40 |
+
"eval_sickr_spearman": 0.7163253760678987,
|
| 41 |
+
"eval_stsb_spearman": 0.8127083921541344,
|
| 42 |
+
"step": 500
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
+
"epoch": 15.62,
|
| 46 |
+
"eval_avg_sts": 0.7631076478210288,
|
| 47 |
+
"eval_sickr_spearman": 0.7148924642186953,
|
| 48 |
+
"eval_stsb_spearman": 0.8113228314233623,
|
| 49 |
+
"step": 625
|
| 50 |
+
},
|
| 51 |
+
{
|
| 52 |
+
"epoch": 18.75,
|
| 53 |
+
"eval_avg_sts": 0.7641477709859748,
|
| 54 |
+
"eval_sickr_spearman": 0.7158616838146151,
|
| 55 |
+
"eval_stsb_spearman": 0.8124338581573343,
|
| 56 |
+
"step": 750
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 21.88,
|
| 60 |
+
"eval_avg_sts": 0.7603328876767634,
|
| 61 |
+
"eval_sickr_spearman": 0.7131653618731838,
|
| 62 |
+
"eval_stsb_spearman": 0.8075004134803432,
|
| 63 |
+
"step": 875
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 25.0,
|
| 67 |
+
"learning_rate": 8.333333333333334e-06,
|
| 68 |
+
"loss": 0.0004,
|
| 69 |
+
"step": 1000
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 25.0,
|
| 73 |
+
"eval_avg_sts": 0.7593813987808072,
|
| 74 |
+
"eval_sickr_spearman": 0.7131961017781041,
|
| 75 |
+
"eval_stsb_spearman": 0.8055666957835104,
|
| 76 |
+
"step": 1000
|
| 77 |
+
},
|
| 78 |
+
{
|
| 79 |
+
"epoch": 25.0,
|
| 80 |
+
"eval_avg_sts": 0.7593813987808072,
|
| 81 |
+
"eval_sickr_spearman": 0.7131961017781041,
|
| 82 |
+
"eval_stsb_spearman": 0.8055666957835104,
|
| 83 |
+
"step": 1000
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
"epoch": 28.12,
|
| 87 |
+
"eval_avg_sts": 0.7595589061661745,
|
| 88 |
+
"eval_sickr_spearman": 0.7140072029880896,
|
| 89 |
+
"eval_stsb_spearman": 0.8051106093442593,
|
| 90 |
+
"step": 1125
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"epoch": 30.0,
|
| 94 |
+
"step": 1200,
|
| 95 |
+
"train_runtime": 2594.2478,
|
| 96 |
+
"train_samples_per_second": 0.463
|
| 97 |
+
}
|
| 98 |
+
],
|
| 99 |
+
"max_steps": 1200,
|
| 100 |
+
"num_train_epochs": 30,
|
| 101 |
+
"total_flos": 10230181596610560,
|
| 102 |
+
"trial_name": null,
|
| 103 |
+
"trial_params": null
|
| 104 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6be9d7dbdb6d62fd8813ed00b788c4348b121e59af8c683ad3e3e3f58b614d8e
|
| 3 |
+
size 2107
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|