Training in progress, epoch 1

README.md

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+---
+base_model: livekit/turn-detector
+library_name: transformers
+model_name: livekit-eot-finetuned
+tags:
+- generated_from_trainer
+- hf_jobs
+- sft
+- trl
+licence: license
+---
+
+# Model Card for livekit-eot-finetuned
+
+This model is a fine-tuned version of [livekit/turn-detector](https://huggingface.co/livekit/turn-detector).
+It has been trained using [TRL](https://github.com/huggingface/trl).
+
+## Quick start
+
+```python
+from transformers import pipeline
+
+question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
+generator = pipeline("text-generation", model="Vurtnec/livekit-eot-finetuned", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
+
+## Training procedure
+
+ 
+
+
+This model was trained with SFT.
+
+### Framework versions
+
+- TRL: 0.25.1
+- Transformers: 4.57.3
+- Pytorch: 2.9.1
+- Datasets: 4.4.1
+- Tokenizers: 0.22.1
+
+## Citations
+
+
+
+Cite TRL as:
+    
+```bibtex
+@misc{vonwerra2022trl,
+	title        = {{TRL: Transformer Reinforcement Learning}},
+	author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
+	year         = 2020,
+	journal      = {GitHub repository},
+	publisher    = {GitHub},
+	howpublished = {\url{https://github.com/huggingface/trl}}
+}
+```

adapter_config.json

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+  "bias": "none",
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+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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added_tokens.json

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+{
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+  "<|user|>": 49152
+}

chat_template.jinja

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+{% for message in messages %}{{'<|im_start|>' + '<|' + message['role'] + '|>' + message['content'] + '<|im_end|>'}}{% endfor %}

special_tokens_map.json

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+{
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+    "<|im_end|>",
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+  }
+}

tokenizer_config.json

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training_args.bin

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