added model

0_Transformer/config.json

@@ -0,0 +1,30 @@
+{
+  "_name_or_path": "output-no-git/NEW/PT/TransformerModels/pt-e5-all/0_Transformer",
+  "architectures": [
+    "BertModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "directionality": "bidi",
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.7.0.dev0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 119547
+}

0_Transformer/pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d2136cb9636ec43249e746799c0455e491ff16fe061a8111767b4c8890ff6a04
+size 711498319

0_Transformer/sentence_bert_config.json

@@ -0,0 +1,4 @@
+{
+  "max_seq_length": null,
+  "do_lower_case": false
+}

0_Transformer/special_tokens_map.json

@@ -0,0 +1 @@
+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}

0_Transformer/tokenizer_config.json

@@ -0,0 +1 @@
+{"do_lower_case": false, "do_basic_tokenize": true, "never_split": null, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "truncation": true, "model_max_length": 512, "special_tokens_map_file": null, "tokenizer_file": "/rds/homes/t/tayyarmh/.cache/huggingface/transformers/46880f3b0081fda494a4e15b05787692aa4c1e21e0ff2428ba8b14d4eda0784d.b33e51591f94f17c238ee9b1fac75b96ff2678cbaed6e108feadb3449d18dc24", "name_or_path": "output-no-git/NEW/PT/TransformerModels/pt-e5-all/0_Transformer", "max_length": 510}

1_Pooling/config.json

@@ -0,0 +1,7 @@
+{
+  "word_embedding_dimension": 768,
+  "pooling_mode_cls_token": false,
+  "pooling_mode_mean_tokens": true,
+  "pooling_mode_max_tokens": false,
+  "pooling_mode_mean_sqrt_len_tokens": false
+}

config.json

@@ -0,0 +1,3 @@
+{
+  "__version__": "1.1.0"
+}

modules.json

@@ -0,0 +1,14 @@
+[
+  {
+    "idx": 0,
+    "name": "0",
+    "path": "0_Transformer",
+    "type": "sentence_transformers.models.Transformer"
+  },
+  {
+    "idx": 1,
+    "name": "1",
+    "path": "1_Pooling",
+    "type": "sentence_transformers.models.Pooling"
+  }
+]

similarity_evaluation_sts-dev_results.csv

@@ -0,0 +1,9 @@
+epoch,steps,cosine_pearson,cosine_spearman,euclidean_pearson,euclidean_spearman,manhattan_pearson,manhattan_spearman,dot_pearson,dot_spearman
+0,1000,0.8349130234963305,0.8092383683504908,0.826730851831072,0.8127855747080169,0.8263311181350506,0.8118455378202348,0.6857424391521911,0.5675991150799989
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+1,1000,0.9067172355401371,0.8792836420815621,0.875276942555062,0.872621130076251,0.8758535640491687,0.872612236676241,0.7858144962024307,0.7026883214737787
+1,-1,0.9215608110332772,0.8993491572733567,0.8965425280209021,0.8943254702285592,0.8975320662769226,0.8945366841674829,0.7835206115263086,0.6992180828940792
+2,1000,0.9387303810496753,0.91138925262256,0.9121321222457953,0.9083525826556462,0.9130046033311081,0.908441464109864,0.8143791146532289,0.7316126369702294
+2,-1,0.9472139172527518,0.9202141842664493,0.9161843740981063,0.913865694966475,0.9171947622676568,0.914551950856629,0.8304523698707075,0.7497333485413573
+3,1000,0.9552624538785512,0.9289244436353301,0.9233136573151444,0.9236557156127878,0.9241402417536436,0.9238004320725949,0.8457978818016381,0.7739526404938324
+3,-1,0.9564358197099173,0.9284850169821854,0.9226042411149057,0.9234192694852198,0.9232909326721376,0.9235451452786526,0.8517708462297343,0.7810075913328206

similarity_evaluation_sts-test_results.csv

@@ -0,0 +1,2 @@
+epoch,steps,cosine_pearson,cosine_spearman,euclidean_pearson,euclidean_spearman,manhattan_pearson,manhattan_spearman,dot_pearson,dot_spearman
+-1,-1,0.8073005626514554,0.7830047430248456,0.7867398761537212,0.7750587636797555,0.7870909512646831,0.775050213315965,0.704142496632838,0.6270531367141832