Better model with bs=1024

README.md

@@ -14,7 +14,7 @@ For usage instructions, refer to our codebase: https://github.com/Muennighoff/sg
 
 ## Evaluation Results
 
-For eval results, refer to our paper: https://arxiv.org/abs/2202.08904
+For eval results, refer to the eval folder or our paper: https://arxiv.org/abs/2202.08904
 
 ## Training
 The model was trained with the parameters:

config.json

@@ -47,7 +47,7 @@
   "summary_type": "cls_index",
   "summary_use_proj": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.11.3",
+  "transformers_version": "4.20.0.dev0",
   "use_cache": true,
   "vocab_size": 50257,
   "window_size": 256

config_sentence_transformers.json

@@ -1,7 +1,7 @@
 {
   "__version__": {
     "sentence_transformers": "2.1.0",
-    "transformers": "4.11.3",
-    "pytorch": "1.10.1"
+    "transformers": "4.20.0.dev0",
+    "pytorch": "1.10.2"
   }
 }

eval/SGPT-125M-weightedmean-nli-bitfit_weightedmean_layer-1_results_average_precision.json

@@ -0,0 +1,7 @@
+{
+    "askubuntu": 55.66,
+    "cqadupstack": 11.13,
+    "twitterpara": 69.63,
+    "scidocs": 68.01,
+    "avg": 51.1075
+}

eval/SGPT-125M-weightedmean-nli-bitfit_weightedmean_layer-1_results_detailed.json

@@ -0,0 +1,66 @@
+{
+    "askubuntu": {
+        "map_askubuntu_title": 55.66,
+        "p@1_askubuntu_title": 51.61,
+        "p@5_askubuntu_title": 41.4,
+        "mrr_askubuntu_title": 66.68
+    },
+    "cqadupstack": {
+        "map@100_cqadupstack_unix": 10.86,
+        "ndcg@10_cqadupstack_unix": 11.65,
+        "map@100_cqadupstack_gaming": 20.48,
+        "ndcg@10_cqadupstack_gaming": 22.59,
+        "map@100_cqadupstack_wordpress": 4.11,
+        "ndcg@10_cqadupstack_wordpress": 4.52,
+        "map@100_cqadupstack_stats": 13.42,
+        "ndcg@10_cqadupstack_stats": 13.69,
+        "map@100_cqadupstack_tex": 7.05,
+        "ndcg@10_cqadupstack_tex": 7.4,
+        "map@100_cqadupstack_english": 8.84,
+        "ndcg@10_cqadupstack_english": 10.03,
+        "map@100_cqadupstack_programmers": 10.39,
+        "ndcg@10_cqadupstack_programmers": 10.95,
+        "map@100_cqadupstack_mathematica": 9.81,
+        "ndcg@10_cqadupstack_mathematica": 10.84,
+        "map@100_cqadupstack_physics": 13.33,
+        "ndcg@10_cqadupstack_physics": 13.56,
+        "map@100_cqadupstack_gis": 13.79,
+        "ndcg@10_cqadupstack_gis": 14.32,
+        "map@100_cqadupstack_webmasters": 8.58,
+        "ndcg@10_cqadupstack_webmasters": 9.35,
+        "map@100_cqadupstack_android": 12.86,
+        "ndcg@10_cqadupstack_android": 14.72,
+        "map@100_cqadupstack_avg": 11.13,
+        "ndcg@10_cqadupstack_avg": 11.97
+    },
+    "twitterpara": {
+        "ap_twitter_twitterurl": 72.79,
+        "spearman_twitter_twitterurl": 67.64,
+        "ap_twitter_pit": 66.47,
+        "spearman_twitter_pit": 47.88,
+        "ap_twitter_avg": 69.63,
+        "spearman_twitter_avg": 57.76
+    },
+    "scidocs": {
+        "map_scidocs_cite_euclidean": 65.13,
+        "ndcg_scidocs_cite_euclidean": 82.16,
+        "map_scidocs_cite_cosine": 65.13,
+        "ndcg_scidocs_cite_cosine": 82.16,
+        "map_scidocs_cocite_euclidean": 67.76,
+        "ndcg_scidocs_cocite_euclidean": 83.77,
+        "map_scidocs_cocite_cosine": 67.76,
+        "ndcg_scidocs_cocite_cosine": 83.77,
+        "map_scidocs_coview_euclidean": 70.51,
+        "ndcg_scidocs_coview_euclidean": 84.5,
+        "map_scidocs_coview_cosine": 70.51,
+        "ndcg_scidocs_coview_cosine": 84.5,
+        "map_scidocs_coread_euclidean": 68.62,
+        "ndcg_scidocs_coread_euclidean": 83.66,
+        "map_scidocs_coread_cosine": 68.62,
+        "ndcg_scidocs_coread_cosine": 83.66,
+        "map_scidocs_euclidean_avg": 68.01,
+        "ndcg_scidocs_euclidean_avg": 83.52,
+        "map_scidocs_cosine_avg": 68.01,
+        "ndcg_scidocs_cosine_avg": 83.52
+    }
+}

eval/quora.json

@@ -0,0 +1 @@
+{"SGPT-125M-weightedmean-nli-bitfit": {"quora": {"NDCG@1": 0.7097, "NDCG@3": 0.75264, "NDCG@5": 0.77096, "NDCG@10": 0.78967, "NDCG@100": 0.81262, "NDCG@1000": 0.81682}}}

eval/similarity_evaluation_sts-dev_results.csv

@@ -1,12 +1,12 @@
 epoch,steps,cosine_pearson,cosine_spearman,euclidean_pearson,euclidean_spearman,manhattan_pearson,manhattan_spearman,dot_pearson,dot_spearman
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+0,2200,0.8322285781163465,0.8363460131143705,0.8238595252888139,0.8285953867691392,0.8251293855185525,0.8303417242732376,0.7321514272161418,0.7343360548158535
+0,2640,0.8316032894200165,0.8360248029282871,0.8229876867952128,0.8274986778272352,0.8247887992125305,0.829730972962072,0.735861995734252,0.7394614515913788
+0,3080,0.8307132415525218,0.8357857422650881,0.821973667735502,0.8268832848991191,0.8232670133914585,0.8287163832939213,0.7351494187227637,0.7373781263102374
+0,3520,0.8321450278222416,0.837515610006931,0.8227498428419581,0.8276296120812954,0.824194673798708,0.8294918695942172,0.7350862168960725,0.7385545256985955
+0,3960,0.8324321317037187,0.8372050831022416,0.8235292210527604,0.8280796389286461,0.8251002162736456,0.8299533503397363,0.7325730558165168,0.7364960367335265
+0,4400,0.832333153640081,0.8370257982810063,0.8227920398931506,0.8274093432460116,0.8243812864875318,0.829381817916846,0.7344786676900655,0.7383103767201893
+0,-1,0.8323134689045238,0.8369988089385374,0.8227832000988474,0.8274006510691946,0.8243732697450359,0.8293464655792817,0.7344279740920635,0.7383348227000012

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9a06911ddb4992164ecb57d498b75fa7bdad099b591ca0b2d0f554a43ddbba5d
-size 551190545
+oid sha256:6f48a127abdc03ef0217e1305a1ef41759c398b23a9bc8d51e9e5dc9bca3dae5
+size 551182929

similarity_evaluation_sts-test_results.csv

@@ -1,2 +0,0 @@
-epoch,steps,cosine_pearson,cosine_spearman,euclidean_pearson,euclidean_spearman,manhattan_pearson,manhattan_spearman,dot_pearson,dot_spearman
--1,-1,0.7846537302609198,0.7857648092636241,0.7732666799261162,0.7690356065641517,0.7726690278606694,0.7693750768516694,0.5922788515539513,0.5743748488122472

tokenizer_config.json

@@ -1 +1 @@
-{"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "add_prefix_space": false, "errors": "replace", "model_max_length": 2048, "special_tokens_map_file": null, "name_or_path": "EleutherAI/gpt-neo-125M", "tokenizer_class": "GPT2Tokenizer"}
+{"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "add_prefix_space": false, "errors": "replace", "model_max_length": 2048, "special_tokens_map_file": null, "name_or_path": "EleutherAI/gpt-neo-125M", "pad_token": null, "add_bos_token": false, "tokenizer_class": "GPT2Tokenizer"}