Text Classification
ONNX
Safetensors
GGUF
English
text-segmentation
entity-linking
quotation-attribution
multiple-choice
question-answering
summarization
modernbert
conversational
Instructions to use freeideas/UsefulLocalModels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use freeideas/UsefulLocalModels with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf freeideas/UsefulLocalModels:Q4_K_M # Run inference directly in the terminal: llama cli -hf freeideas/UsefulLocalModels:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf freeideas/UsefulLocalModels:Q4_K_M # Run inference directly in the terminal: llama cli -hf freeideas/UsefulLocalModels:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf freeideas/UsefulLocalModels:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf freeideas/UsefulLocalModels:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf freeideas/UsefulLocalModels:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf freeideas/UsefulLocalModels:Q4_K_M
Use Docker
docker model run hf.co/freeideas/UsefulLocalModels:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use freeideas/UsefulLocalModels with Ollama:
ollama run hf.co/freeideas/UsefulLocalModels:Q4_K_M
- Unsloth Desktop
- Pi
How to use freeideas/UsefulLocalModels with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf freeideas/UsefulLocalModels:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "freeideas/UsefulLocalModels:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use freeideas/UsefulLocalModels with Docker Model Runner:
docker model run hf.co/freeideas/UsefulLocalModels:Q4_K_M
- Lemonade
How to use freeideas/UsefulLocalModels with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull freeideas/UsefulLocalModels:Q4_K_M
Run and chat with the model
lemonade run user.UsefulLocalModels-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use freeideas/UsefulLocalModels with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf freeideas/UsefulLocalModels:Q4_K_M
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default freeideas/UsefulLocalModels:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use freeideas/UsefulLocalModels with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf freeideas/UsefulLocalModels:Q4_K_M
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "freeideas/UsefulLocalModels:Q4_K_M" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
speaker-r1: the speaker model behind GraEng
Browse files- README.md +52 -0
- speaker-r1/config.json +51 -0
- speaker-r1/model.safetensors +3 -0
- speaker-r1/special_tokens_map.json +37 -0
- speaker-r1/tokenizer.json +0 -0
- speaker-r1/tokenizer_config.json +952 -0
- speaker-r1/training.json +14 -0
README.md
CHANGED
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- text-classification
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- text-segmentation
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- entity-linking
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- summarization
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- onnx
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- modernbert
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|---|---|---|
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| [`same-subject-r2/`](same-subject-r2/) | Says whether a new passage or message continues the subject of the text before it. Used to cut a long stream (a book, a chat, meeting notes) into topics for a summary tree. | 150M parameters |
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| 21 |
| [`entity-link-r1/`](entity-link-r1/) | Says whether a name in a sentence refers to a given known entity (a person, place, thing). Used to link each mention in a stream of text to the right entity in a growing graph. | 150M parameters |
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## About the author
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## Limits
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English only, and trained only on Victorian detective stories: chat and other modern text were not in the training data. The labels are one language model's decisions, not checked by a person.
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| 5 |
- text-classification
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| 6 |
- text-segmentation
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| 7 |
- entity-linking
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| 8 |
+
- quotation-attribution
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| 9 |
- summarization
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| 10 |
- onnx
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| 11 |
- modernbert
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|---|---|---|
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| 21 |
| [`same-subject-r2/`](same-subject-r2/) | Says whether a new passage or message continues the subject of the text before it. Used to cut a long stream (a book, a chat, meeting notes) into topics for a summary tree. | 150M parameters |
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| 22 |
| [`entity-link-r1/`](entity-link-r1/) | Says whether a name in a sentence refers to a given known entity (a person, place, thing). Used to link each mention in a stream of text to the right entity in a growing graph. | 150M parameters |
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| 23 |
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| [`speaker-r1/`](speaker-r1/) | Says whether a given person speaks a quoted paragraph of fiction, from the paragraph and the text before it. Used to attribute dialogue in a stream of text. | 150M parameters |
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| 25 |
## About the author
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| 133 |
## Limits
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English only, and trained only on Victorian detective stories: chat and other modern text were not in the training data. The labels are one language model's decisions, not checked by a person.
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---
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# speaker-r1
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A cross-encoder fine-tuned from [Alibaba-NLP/gte-reranker-modernbert-base](https://huggingface.co/Alibaba-NLP/gte-reranker-modernbert-base) to answer one question: **does this person say the marked paragraph?** It reads up to 700 characters of the text before a paragraph with quoted words, then the paragraph, against one candidate person (their names and a couple of things said about them). It returns a probability. It is the speaker model behind GraEng: it attributes dialogue so that each quoted claim is recorded as its speaker's belief, and a language model is asked only when it is unsure.
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## Results
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Trained on graphs Claude Sonnet built from Sherlock Holmes stories 2 to 8, chosen on stories 9 and 10, and tested on story 1, A Scandal in Bohemia, which it never saw:
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| | Validation AUC | Test AUC |
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|---|---:|---:|
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| this model | 0.94 | 0.95 |
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| the base model, untrained | 0.54 | |
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Of the test story's 94 quoted paragraphs, its top candidate was Sonnet's choice for 78. At probability 0.5 or more and 0.1 ahead of the next candidate, it decides 69 and agrees with Sonnet on 65 (94%); at 0.8, it decides 49 and agrees on 48. In GraEng's evaluation, adding it raised answer quality on that story from 85% to 90% of a graph built by a language model alone, while the language model's share of the writing fell from 20% to 14%. Speed on a laptop CPU (M1 Pro): about 0.1 s per candidate at 512 tokens.
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## Input
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A text pair. The first text is the text before the paragraph, then the paragraph marked by double brackets (cut at 1,200 characters); the second is a candidate person:
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```text
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[quote] ...Then he stood before the fire and looked me over in his singular introspective fashion.
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[[“Wedlock suits you,” he remarked. “I think, Watson, that you have put on seven and a half pounds since I saw you.”]]
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[person] person: Sherlock Holmes, Holmes. Holmes was pacing the room. He was at work again.
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```
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The person text is `person: name, alias, alias. belief belief`. Candidates are the people mentioned in or just before the paragraph, the last two people who spoke, and the narrator (`person: the narrator`). Truncate at 512 tokens. The output is one logit; the probability is `sigmoid(scale * logit + shift)` with the calibration in `training.json`.
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## Files
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- `model.safetensors`, `config.json`: the weights, for PyTorch (`AutoModelForSequenceClassification`).
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- `tokenizer.json`, `tokenizer_config.json`, `special_tokens_map.json`: the tokenizer.
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- `training.json`: the training settings, the validation AUC, and the calibration (`scale`, `shift`).
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```sh
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uvx --from huggingface_hub hf download freeideas/UsefulLocalModels --include "speaker-r1/*" --local-dir models
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```
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GraEng uses it when the directory is its small models' cache under the name `speaker`.
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## Training
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3,130 pairs from 663 quoted paragraphs of Sherlock Holmes stories 2 to 8 (public domain, Project Gutenberg), 846 validation pairs from stories 9 and 10. Labels came from graphs Claude Sonnet built by reading each story passage by passage: the speaker Sonnet gave the claims of each quoted paragraph. Three epochs at learning rate 2e-5 on an M1 Pro's GPU (about 30 minutes); the epoch with the best validation AUC is kept, and a calibration is fitted on validation.
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## Limits
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English fiction only, and only Victorian detective stories; not trained on chat or reported speech ("my boss says..."). The labels are one language model's choices, not checked by a person, and the training set is small.
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speaker-r1/config.json
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{
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"architectures": [
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"ModernBertForSequenceClassification"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 50281,
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"classifier_activation": "gelu",
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"classifier_bias": false,
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"classifier_dropout": 0.0,
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"classifier_pooling": "mean",
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"cls_token_id": 50281,
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"decoder_bias": true,
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"deterministic_flash_attn": false,
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"dtype": "float32",
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"embedding_dropout": 0.0,
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| 17 |
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"eos_token_id": 50282,
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"global_attn_every_n_layers": 3,
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"global_rope_theta": 160000.0,
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"gradient_checkpointing": false,
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"hidden_activation": "gelu",
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"hidden_size": 768,
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"id2label": {
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"0": "LABEL_0"
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},
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"initializer_cutoff_factor": 2.0,
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| 27 |
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"initializer_range": 0.02,
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"intermediate_size": 1152,
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| 29 |
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"label2id": {
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| 30 |
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"LABEL_0": 0
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| 31 |
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},
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| 32 |
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"layer_norm_eps": 1e-05,
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| 33 |
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"local_attention": 128,
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| 34 |
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"local_rope_theta": 10000.0,
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| 35 |
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"max_position_embeddings": 8192,
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| 36 |
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"mlp_bias": false,
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| 37 |
+
"mlp_dropout": 0.0,
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| 38 |
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"model_type": "modernbert",
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| 39 |
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"norm_bias": false,
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| 40 |
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"norm_eps": 1e-05,
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| 41 |
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"num_attention_heads": 12,
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| 42 |
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"num_hidden_layers": 22,
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| 43 |
+
"pad_token_id": 50283,
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| 44 |
+
"position_embedding_type": "absolute",
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| 45 |
+
"repad_logits_with_grad": false,
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| 46 |
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"sep_token_id": 50282,
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| 47 |
+
"sparse_pred_ignore_index": -100,
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| 48 |
+
"sparse_prediction": false,
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| 49 |
+
"transformers_version": "4.57.6",
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| 50 |
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"vocab_size": 50368
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| 51 |
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}
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speaker-r1/model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:865a8d057162cb78e1ff4db19d34d8567e5fe9670ae18fedf2851779e3cb24d0
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| 3 |
+
size 598436708
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speaker-r1/special_tokens_map.json
ADDED
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{
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| 2 |
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"cls_token": {
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| 3 |
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"content": "[CLS]",
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| 4 |
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"lstrip": false,
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| 5 |
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"normalized": false,
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| 6 |
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"rstrip": false,
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| 7 |
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"single_word": false
|
| 8 |
+
},
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| 9 |
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"mask_token": {
|
| 10 |
+
"content": "[MASK]",
|
| 11 |
+
"lstrip": true,
|
| 12 |
+
"normalized": false,
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| 13 |
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"rstrip": false,
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| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "[PAD]",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
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| 20 |
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"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
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| 23 |
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"sep_token": {
|
| 24 |
+
"content": "[SEP]",
|
| 25 |
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"lstrip": false,
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| 26 |
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"normalized": false,
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| 27 |
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"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"unk_token": {
|
| 31 |
+
"content": "[UNK]",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
}
|
| 37 |
+
}
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speaker-r1/tokenizer.json
ADDED
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The diff for this file is too large to render.
See raw diff
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speaker-r1/tokenizer_config.json
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|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "|||IP_ADDRESS|||",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": true,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": false
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "<|padding|>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"50254": {
|
| 20 |
+
"content": " ",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": true,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": false
|
| 26 |
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| 915 |
+
"50366": {
|
| 916 |
+
"content": "[unused81]",
|
| 917 |
+
"lstrip": false,
|
| 918 |
+
"normalized": true,
|
| 919 |
+
"rstrip": false,
|
| 920 |
+
"single_word": false,
|
| 921 |
+
"special": false
|
| 922 |
+
},
|
| 923 |
+
"50367": {
|
| 924 |
+
"content": "[unused82]",
|
| 925 |
+
"lstrip": false,
|
| 926 |
+
"normalized": true,
|
| 927 |
+
"rstrip": false,
|
| 928 |
+
"single_word": false,
|
| 929 |
+
"special": false
|
| 930 |
+
}
|
| 931 |
+
},
|
| 932 |
+
"clean_up_tokenization_spaces": true,
|
| 933 |
+
"cls_token": "[CLS]",
|
| 934 |
+
"extra_special_tokens": {},
|
| 935 |
+
"mask_token": "[MASK]",
|
| 936 |
+
"max_length": 512,
|
| 937 |
+
"model_input_names": [
|
| 938 |
+
"input_ids",
|
| 939 |
+
"attention_mask"
|
| 940 |
+
],
|
| 941 |
+
"model_max_length": 8192,
|
| 942 |
+
"pad_to_multiple_of": null,
|
| 943 |
+
"pad_token": "[PAD]",
|
| 944 |
+
"pad_token_type_id": 0,
|
| 945 |
+
"padding_side": "right",
|
| 946 |
+
"sep_token": "[SEP]",
|
| 947 |
+
"stride": 0,
|
| 948 |
+
"tokenizer_class": "PreTrainedTokenizerFast",
|
| 949 |
+
"truncation_side": "right",
|
| 950 |
+
"truncation_strategy": "longest_first",
|
| 951 |
+
"unk_token": "[UNK]"
|
| 952 |
+
}
|
speaker-r1/training.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"base": "Alibaba-NLP/gte-reranker-modernbert-base",
|
| 3 |
+
"train": "training/data/speaker-train.jsonl",
|
| 4 |
+
"validation": "training/data/speaker-validation.jsonl",
|
| 5 |
+
"epochs": 3,
|
| 6 |
+
"lr": 2e-05,
|
| 7 |
+
"batch": 16,
|
| 8 |
+
"max_length": 512,
|
| 9 |
+
"validation_auc": 0.9431785967399008,
|
| 10 |
+
"calibration": {
|
| 11 |
+
"scale": 0.6496902075553974,
|
| 12 |
+
"shift": -0.08826058953091079
|
| 13 |
+
}
|
| 14 |
+
}
|