Upload repository_library model package

README.md

@@ -0,0 +1,84 @@
+---
+base_model: sentence-transformers/all-MiniLM-L6-v2
+library_name: transformers
+pipeline_tag: feature-extraction
+tags:
+- c6
+- cross-modal-retrieval
+- repository-library
+- research-library
+- retrieval
+- t5_cross
+---
+
+# Cross Modal Retrieval
+
+Retrieves semantically related items across paper and repository modalities.
+
+## Model Details
+
+- Artifact type: full fine-tuned model
+- Base model: `sentence-transformers/all-MiniLM-L6-v2`
+- Model ID: `C6`
+- Tier: `T5_cross`
+- Local mirror: `/arxiv/models/repository_library/cross-modal-retrieval`
+- Source checkpoint: `models/checkpoints/C6`
+
+This repository is part of the `repository_library` model stack and is mirrored from `/data/repository_library/models/checkpoints` for publication under the `PeytonT` namespace.
+
+## Intended Use
+
+- Primary use: Retrieves semantically related items across paper and repository modalities.
+- Secondary use: retrieval, ranking, planning, or scientific paper tooling inside the broader Repository Library system, depending on the model family.
+- Out of scope: production safety claims, benchmark claims beyond the bundled experiment config, or use outside the model's narrow training objective without task-specific validation.
+
+## Training Data
+
+This package was trained from the following declared datasets or corpus sources:
+
+- `source:arxiv_pdfs_structured`
+- `source:github_repos`
+
+## Training Procedure
+
+- Sources: `arxiv_pdfs_structured, github_repos`
+- Input fields: `paper_chunk, code_chunk`
+- Target fields: `shared_embedding`
+- Max samples: `4000`
+- Precision: `bf16`
+- Objective: `contrastive`
+- Batch size: `8`
+- Learning rate: `5e-05`
+- Max source tokens: `256`
+- Max target tokens: `128`
+- Max steps: `1000`
+
+## Evaluation
+
+- Declared metrics: `recall_at_10, ndcg_at_10`
+- Status: local experiment artifact mirrored for release; external benchmark reporting has not been standardized across the full model family yet.
+
+## Usage
+
+```python
+from transformers import AutoModel, AutoTokenizer
+
+repo_id = "PeytonT/cross-modal-retrieval"
+
+tokenizer = AutoTokenizer.from_pretrained(repo_id)
+model = AutoModel.from_pretrained(repo_id)
+```
+
+## Limitations
+
+- These model cards reflect the packaged experiment configs and mirrored checkpoint contents, not an independently audited benchmark sheet.
+- Some training datasets are local corpora or exported shards, so reproducibility may require access to the surrounding Repository Library data pipeline.
+- Models in this stack are narrow components of a larger paper-and-repository system and should be validated on downstream tasks before deployment.
+
+## Project Context
+
+Repository Library is a research system for indexing, retrieving, aligning, and reasoning over scientific papers, structured paper content, repositories, and cross-domain links between them.
+
+## Contact
+
+Published under `PeytonT` from the local `repository_library` build.

config.json

@@ -0,0 +1,25 @@
+{
+  "architectures": [
+    "BertModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "dtype": "float32",
+  "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",
+  "transformers_version": "4.57.6",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b626e987ce893ecb2c06adf82bb6ff5355ce227de1ae47006a7c9a421827b088
+size 90864192

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
+  }
+}

tokenizer_config.json

@@ -0,0 +1,65 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "max_length": 128,
+  "model_max_length": 512,
+  "never_split": null,
+  "pad_to_multiple_of": null,
+  "pad_token": "[PAD]",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
+  "sep_token": "[SEP]",
+  "stride": 0,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "[UNK]"
+}

trainer_state.json

@@ -0,0 +1,183 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 40.0,
+  "eval_steps": 500,
+  "global_step": 1000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 2.0,
+      "grad_norm": 1.2906718254089355,
+      "learning_rate": 2.45e-05,
+      "loss": 0.3942,
+      "step": 50
+    },
+    {
+      "epoch": 4.0,
+      "grad_norm": 2.3395345211029053,
+      "learning_rate": 4.9500000000000004e-05,
+      "loss": 0.3539,
+      "step": 100
+    },
+    {
+      "epoch": 6.0,
+      "grad_norm": 1.5900944471359253,
+      "learning_rate": 4.727777777777778e-05,
+      "loss": 0.2985,
+      "step": 150
+    },
+    {
+      "epoch": 8.0,
+      "grad_norm": 1.4815367460250854,
+      "learning_rate": 4.4500000000000004e-05,
+      "loss": 0.2351,
+      "step": 200
+    },
+    {
+      "epoch": 10.0,
+      "grad_norm": 2.1699378490448,
+      "learning_rate": 4.172222222222222e-05,
+      "loss": 0.1905,
+      "step": 250
+    },
+    {
+      "epoch": 12.0,
+      "grad_norm": 3.293229341506958,
+      "learning_rate": 3.894444444444444e-05,
+      "loss": 0.1523,
+      "step": 300
+    },
+    {
+      "epoch": 14.0,
+      "grad_norm": 2.814497232437134,
+      "learning_rate": 3.6166666666666674e-05,
+      "loss": 0.1249,
+      "step": 350
+    },
+    {
+      "epoch": 16.0,
+      "grad_norm": 1.806630253791809,
+      "learning_rate": 3.338888888888889e-05,
+      "loss": 0.1036,
+      "step": 400
+    },
+    {
+      "epoch": 18.0,
+      "grad_norm": 1.9773627519607544,
+      "learning_rate": 3.061111111111111e-05,
+      "loss": 0.0848,
+      "step": 450
+    },
+    {
+      "epoch": 20.0,
+      "grad_norm": 2.187488079071045,
+      "learning_rate": 2.7833333333333333e-05,
+      "loss": 0.0745,
+      "step": 500
+    },
+    {
+      "epoch": 22.0,
+      "grad_norm": 1.9318913221359253,
+      "learning_rate": 2.5055555555555555e-05,
+      "loss": 0.0628,
+      "step": 550
+    },
+    {
+      "epoch": 24.0,
+      "grad_norm": 1.486013412475586,
+      "learning_rate": 2.2277777777777778e-05,
+      "loss": 0.0573,
+      "step": 600
+    },
+    {
+      "epoch": 26.0,
+      "grad_norm": 0.9214858412742615,
+      "learning_rate": 1.9500000000000003e-05,
+      "loss": 0.049,
+      "step": 650
+    },
+    {
+      "epoch": 28.0,
+      "grad_norm": 2.187666177749634,
+      "learning_rate": 1.6722222222222222e-05,
+      "loss": 0.0475,
+      "step": 700
+    },
+    {
+      "epoch": 30.0,
+      "grad_norm": 1.7305703163146973,
+      "learning_rate": 1.3944444444444446e-05,
+      "loss": 0.0424,
+      "step": 750
+    },
+    {
+      "epoch": 32.0,
+      "grad_norm": 1.5193572044372559,
+      "learning_rate": 1.1166666666666668e-05,
+      "loss": 0.0392,
+      "step": 800
+    },
+    {
+      "epoch": 34.0,
+      "grad_norm": 1.132284164428711,
+      "learning_rate": 8.38888888888889e-06,
+      "loss": 0.0365,
+      "step": 850
+    },
+    {
+      "epoch": 36.0,
+      "grad_norm": 0.8349636793136597,
+      "learning_rate": 5.611111111111112e-06,
+      "loss": 0.0353,
+      "step": 900
+    },
+    {
+      "epoch": 38.0,
+      "grad_norm": 0.5874630808830261,
+      "learning_rate": 2.8333333333333335e-06,
+      "loss": 0.0337,
+      "step": 950
+    },
+    {
+      "epoch": 40.0,
+      "grad_norm": 0.44510239362716675,
+      "learning_rate": 5.555555555555556e-08,
+      "loss": 0.033,
+      "step": 1000
+    },
+    {
+      "epoch": 40.0,
+      "step": 1000,
+      "total_flos": 0.0,
+      "train_loss": 0.12244693279266357,
+      "train_runtime": 147.0867,
+      "train_samples_per_second": 163.169,
+      "train_steps_per_second": 6.799
+    }
+  ],
+  "logging_steps": 50,
+  "max_steps": 1000,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 40,
+  "save_steps": 200,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 0.0,
+  "train_batch_size": 24,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3b19986ddf3e1a8b66f7011e90c87f0be58a51028eae27a0aebf7588c9d4323b
+size 5841