Training checkpoint - Epoch 2, Step 30786

checkpoint-30786/1_Pooling/config.json

@@ -0,0 +1,10 @@
+{
+    "word_embedding_dimension": 384,
+    "pooling_mode_cls_token": false,
+    "pooling_mode_mean_tokens": true,
+    "pooling_mode_max_tokens": false,
+    "pooling_mode_mean_sqrt_len_tokens": false,
+    "pooling_mode_weightedmean_tokens": false,
+    "pooling_mode_lasttoken": false,
+    "include_prompt": true
+}

checkpoint-30786/config.json

@@ -0,0 +1,25 @@
+{
+  "architectures": [
+    "BertModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 384,
+  "initializer_range": 0.02,
+  "intermediate_size": 1536,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 6,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.53.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 55582
+}

checkpoint-30786/config_sentence_transformers.json

@@ -0,0 +1,14 @@
+{
+  "__version__": {
+    "sentence_transformers": "5.2.0",
+    "transformers": "4.53.3",
+    "pytorch": "2.6.0+cu124"
+  },
+  "model_type": "SentenceTransformer",
+  "prompts": {
+    "query": "",
+    "document": ""
+  },
+  "default_prompt_name": null,
+  "similarity_fn_name": "cosine"
+}

checkpoint-30786/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ac3fadeb33c1a8b9136c7999fbf6f69bf1ba864081bdd07713c4cbb1a6cbb8d6
+size 129356488

checkpoint-30786/modules.json

@@ -0,0 +1,20 @@
+[
+  {
+    "idx": 0,
+    "name": "0",
+    "path": "",
+    "type": "sentence_transformers.models.Transformer"
+  },
+  {
+    "idx": 1,
+    "name": "1",
+    "path": "1_Pooling",
+    "type": "sentence_transformers.models.Pooling"
+  },
+  {
+    "idx": 2,
+    "name": "2",
+    "path": "2_Normalize",
+    "type": "sentence_transformers.models.Normalize"
+  }
+]

checkpoint-30786/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6b08b769b62e3f0afd714727173d79ddf2c1964ad1b98413e380a411990d08a8
+size 257592058

checkpoint-30786/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1bbfd2ac39966390ff3ddb5eaeb9a92b3dfe651303e65c3d1eb7490f9e3f696e
+size 14244

checkpoint-30786/scaler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:00a9c9a4ee60f746df07690bd4b7be45ae4c750a79cf105dd1075d96588dbe9a
+size 988

checkpoint-30786/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6853747f6d23077315fe487e18b05bb70610f0131aae3c28b109a1449444ee5a
+size 1064

checkpoint-30786/sentence_bert_config.json

@@ -0,0 +1,4 @@
+{
+    "max_seq_length": 256,
+    "do_lower_case": false
+}

checkpoint-30786/special_tokens_map.json

@@ -0,0 +1,37 @@
+{
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "[PAD]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-30786/trainer_state.json

@@ -0,0 +1,281 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.0,
+  "eval_steps": 2000,
+  "global_step": 30786,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 6.496459429610862e-05,
+      "grad_norm": 8.543986320495605,
+      "learning_rate": 0.0,
+      "loss": 2.8055,
+      "step": 1
+    },
+    {
+      "epoch": 0.12992918859221725,
+      "grad_norm": 4.228509902954102,
+      "learning_rate": 9.740449584199584e-07,
+      "loss": 2.5053,
+      "step": 2000
+    },
+    {
+      "epoch": 0.12992918859221725,
+      "eval_cosine_accuracy": 0.9490216970443726,
+      "eval_loss": 0.9158492088317871,
+      "eval_runtime": 24.8196,
+      "eval_samples_per_second": 380.948,
+      "eval_steps_per_second": 1.491,
+      "step": 2000
+    },
+    {
+      "epoch": 0.2598583771844345,
+      "grad_norm": 4.29846715927124,
+      "learning_rate": 1.948577182952183e-06,
+      "loss": 2.0544,
+      "step": 4000
+    },
+    {
+      "epoch": 0.2598583771844345,
+      "eval_cosine_accuracy": 0.9499735832214355,
+      "eval_loss": 0.9200904369354248,
+      "eval_runtime": 24.5453,
+      "eval_samples_per_second": 385.206,
+      "eval_steps_per_second": 1.507,
+      "step": 4000
+    },
+    {
+      "epoch": 0.38978756577665175,
+      "grad_norm": 4.714716911315918,
+      "learning_rate": 2.9226221413721413e-06,
+      "loss": 1.7583,
+      "step": 6000
+    },
+    {
+      "epoch": 0.38978756577665175,
+      "eval_cosine_accuracy": 0.9456372261047363,
+      "eval_loss": 0.8998962640762329,
+      "eval_runtime": 24.5547,
+      "eval_samples_per_second": 385.059,
+      "eval_steps_per_second": 1.507,
+      "step": 6000
+    },
+    {
+      "epoch": 0.519716754368869,
+      "grad_norm": 4.514920234680176,
+      "learning_rate": 3.8966670997921e-06,
+      "loss": 1.5402,
+      "step": 8000
+    },
+    {
+      "epoch": 0.519716754368869,
+      "eval_cosine_accuracy": 0.9466948509216309,
+      "eval_loss": 0.8402906060218811,
+      "eval_runtime": 24.5672,
+      "eval_samples_per_second": 384.862,
+      "eval_steps_per_second": 1.506,
+      "step": 8000
+    },
+    {
+      "epoch": 0.6496459429610862,
+      "grad_norm": 4.10648250579834,
+      "learning_rate": 4.871199324324324e-06,
+      "loss": 1.3738,
+      "step": 10000
+    },
+    {
+      "epoch": 0.6496459429610862,
+      "eval_cosine_accuracy": 0.947012186050415,
+      "eval_loss": 0.8332843780517578,
+      "eval_runtime": 24.6002,
+      "eval_samples_per_second": 384.346,
+      "eval_steps_per_second": 1.504,
+      "step": 10000
+    },
+    {
+      "epoch": 0.7795751315533035,
+      "grad_norm": 4.327205657958984,
+      "learning_rate": 5.844757016632017e-06,
+      "loss": 1.241,
+      "step": 12000
+    },
+    {
+      "epoch": 0.7795751315533035,
+      "eval_cosine_accuracy": 0.9478582739830017,
+      "eval_loss": 0.8381510972976685,
+      "eval_runtime": 24.3575,
+      "eval_samples_per_second": 388.176,
+      "eval_steps_per_second": 1.519,
+      "step": 12000
+    },
+    {
+      "epoch": 0.9095043201455207,
+      "grad_norm": 4.739709854125977,
+      "learning_rate": 6.818801975051975e-06,
+      "loss": 1.1337,
+      "step": 14000
+    },
+    {
+      "epoch": 0.9095043201455207,
+      "eval_cosine_accuracy": 0.9480698108673096,
+      "eval_loss": 0.8515253663063049,
+      "eval_runtime": 24.5042,
+      "eval_samples_per_second": 385.853,
+      "eval_steps_per_second": 1.51,
+      "step": 14000
+    },
+    {
+      "epoch": 1.039433508737738,
+      "grad_norm": 3.9595558643341064,
+      "learning_rate": 7.7933341995842e-06,
+      "loss": 1.3481,
+      "step": 16000
+    },
+    {
+      "epoch": 1.039433508737738,
+      "eval_cosine_accuracy": 0.9481755495071411,
+      "eval_loss": 0.861483097076416,
+      "eval_runtime": 24.9212,
+      "eval_samples_per_second": 379.395,
+      "eval_steps_per_second": 1.485,
+      "step": 16000
+    },
+    {
+      "epoch": 1.1693626973299551,
+      "grad_norm": 3.8362483978271484,
+      "learning_rate": 8.767379158004158e-06,
+      "loss": 0.9775,
+      "step": 18000
+    },
+    {
+      "epoch": 1.1693626973299551,
+      "eval_cosine_accuracy": 0.9490216970443726,
+      "eval_loss": 0.866976261138916,
+      "eval_runtime": 24.7567,
+      "eval_samples_per_second": 381.917,
+      "eval_steps_per_second": 1.495,
+      "step": 18000
+    },
+    {
+      "epoch": 1.2992918859221725,
+      "grad_norm": 3.660410165786743,
+      "learning_rate": 9.740936850311851e-06,
+      "loss": 0.9106,
+      "step": 20000
+    },
+    {
+      "epoch": 1.2992918859221725,
+      "eval_cosine_accuracy": 0.9511369466781616,
+      "eval_loss": 0.8142719268798828,
+      "eval_runtime": 24.6537,
+      "eval_samples_per_second": 383.513,
+      "eval_steps_per_second": 1.501,
+      "step": 20000
+    },
+    {
+      "epoch": 1.4292210745143896,
+      "grad_norm": 3.5640735626220703,
+      "learning_rate": 1.0715469074844075e-05,
+      "loss": 0.8581,
+      "step": 22000
+    },
+    {
+      "epoch": 1.4292210745143896,
+      "eval_cosine_accuracy": 0.9521946310997009,
+      "eval_loss": 0.7982929944992065,
+      "eval_runtime": 24.9083,
+      "eval_samples_per_second": 379.592,
+      "eval_steps_per_second": 1.485,
+      "step": 22000
+    },
+    {
+      "epoch": 1.559150263106607,
+      "grad_norm": 3.663590908050537,
+      "learning_rate": 1.1689514033264035e-05,
+      "loss": 0.8119,
+      "step": 24000
+    },
+    {
+      "epoch": 1.559150263106607,
+      "eval_cosine_accuracy": 0.9538868069648743,
+      "eval_loss": 0.7904353141784668,
+      "eval_runtime": 24.419,
+      "eval_samples_per_second": 387.198,
+      "eval_steps_per_second": 1.515,
+      "step": 24000
+    },
+    {
+      "epoch": 1.6890794516988241,
+      "grad_norm": 3.101531505584717,
+      "learning_rate": 1.2664046257796258e-05,
+      "loss": 0.775,
+      "step": 26000
+    },
+    {
+      "epoch": 1.6890794516988241,
+      "eval_cosine_accuracy": 0.9561078548431396,
+      "eval_loss": 0.7433677315711975,
+      "eval_runtime": 24.4716,
+      "eval_samples_per_second": 386.366,
+      "eval_steps_per_second": 1.512,
+      "step": 26000
+    },
+    {
+      "epoch": 1.8190086402910413,
+      "grad_norm": 3.2498459815979004,
+      "learning_rate": 1.3638091216216216e-05,
+      "loss": 0.7376,
+      "step": 28000
+    },
+    {
+      "epoch": 1.8190086402910413,
+      "eval_cosine_accuracy": 0.9565309286117554,
+      "eval_loss": 0.779238760471344,
+      "eval_runtime": 24.4481,
+      "eval_samples_per_second": 386.737,
+      "eval_steps_per_second": 1.513,
+      "step": 28000
+    },
+    {
+      "epoch": 1.9489378288832586,
+      "grad_norm": 2.890700101852417,
+      "learning_rate": 1.4612136174636175e-05,
+      "loss": 0.7072,
+      "step": 30000
+    },
+    {
+      "epoch": 1.9489378288832586,
+      "eval_cosine_accuracy": 0.9578000903129578,
+      "eval_loss": 0.7882058024406433,
+      "eval_runtime": 24.4341,
+      "eval_samples_per_second": 386.959,
+      "eval_steps_per_second": 1.514,
+      "step": 30000
+    }
+  ],
+  "logging_steps": 2000,
+  "max_steps": 153930,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 0.0,
+  "train_batch_size": 256,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-30786/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8add1478bcad8e00d4a109bb811a7177f7917c9b899c8df593575b4a025bf534
+size 5624

checkpoint-30786/training_metrics.json

@@ -0,0 +1,96 @@
+{
+  "metrics_history": [
+    {
+      "epoch": 0.12992918859221725,
+      "global_step": 2000,
+      "eval_loss": 0.9158492088317871,
+      "eval_cosine_accuracy": 0.9490216970443726
+    },
+    {
+      "epoch": 0.2598583771844345,
+      "global_step": 4000,
+      "eval_loss": 0.9200904369354248,
+      "eval_cosine_accuracy": 0.9499735832214355
+    },
+    {
+      "epoch": 0.38978756577665175,
+      "global_step": 6000,
+      "eval_loss": 0.8998962640762329,
+      "eval_cosine_accuracy": 0.9456372261047363
+    },
+    {
+      "epoch": 0.519716754368869,
+      "global_step": 8000,
+      "eval_loss": 0.8402906060218811,
+      "eval_cosine_accuracy": 0.9466948509216309
+    },
+    {
+      "epoch": 0.6496459429610862,
+      "global_step": 10000,
+      "eval_loss": 0.8332843780517578,
+      "eval_cosine_accuracy": 0.947012186050415
+    },
+    {
+      "epoch": 0.7795751315533035,
+      "global_step": 12000,
+      "eval_loss": 0.8381510972976685,
+      "eval_cosine_accuracy": 0.9478582739830017
+    },
+    {
+      "epoch": 0.9095043201455207,
+      "global_step": 14000,
+      "eval_loss": 0.8515253663063049,
+      "eval_cosine_accuracy": 0.9480698108673096
+    },
+    {
+      "epoch": 1.039433508737738,
+      "global_step": 16000,
+      "eval_loss": 0.861483097076416,
+      "eval_cosine_accuracy": 0.9481755495071411
+    },
+    {
+      "epoch": 1.1693626973299551,
+      "global_step": 18000,
+      "eval_loss": 0.866976261138916,
+      "eval_cosine_accuracy": 0.9490216970443726
+    },
+    {
+      "epoch": 1.2992918859221725,
+      "global_step": 20000,
+      "eval_loss": 0.8142719268798828,
+      "eval_cosine_accuracy": 0.9511369466781616
+    },
+    {
+      "epoch": 1.4292210745143896,
+      "global_step": 22000,
+      "eval_loss": 0.7982929944992065,
+      "eval_cosine_accuracy": 0.9521946310997009
+    },
+    {
+      "epoch": 1.559150263106607,
+      "global_step": 24000,
+      "eval_loss": 0.7904353141784668,
+      "eval_cosine_accuracy": 0.9538868069648743
+    },
+    {
+      "epoch": 1.6890794516988241,
+      "global_step": 26000,
+      "eval_loss": 0.7433677315711975,
+      "eval_cosine_accuracy": 0.9561078548431396
+    },
+    {
+      "epoch": 1.8190086402910413,
+      "global_step": 28000,
+      "eval_loss": 0.779238760471344,
+      "eval_cosine_accuracy": 0.9565309286117554
+    },
+    {
+      "epoch": 1.9489378288832586,
+      "global_step": 30000,
+      "eval_loss": 0.7882058024406433,
+      "eval_cosine_accuracy": 0.9578000903129578
+    }
+  ],
+  "current_epoch": 2,
+  "global_step": 30786
+}