Model save

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+- trl
+- sft
+base_model: Dynosaur/llama3-8b-math-sft
+model_name: llama3-8b-math-sft-mix-5-0
+licence: license
+---
+
+# Model Card for llama3-8b-math-sft-mix-5-0
+
+This model is a fine-tuned version of [Dynosaur/llama3-8b-math-sft](https://huggingface.co/Dynosaur/llama3-8b-math-sft).
+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="Dynosaur/llama3-8b-math-sft-mix-5-0", 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: 0.12.1
+- Transformers: 4.46.3
+- Pytorch: 2.5.1
+- Datasets: 3.1.0
+- Tokenizers: 0.20.3
+
+## 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 Gallouédec},
+	year         = 2020,
+	journal      = {GitHub repository},
+	publisher    = {GitHub},
+	howpublished = {\url{https://github.com/huggingface/trl}}
+}
+```

all_results.json

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+{
+    "epoch": 1.9994890883877088,
+    "total_flos": 314202706821120.0,
+    "train_loss": 0.38291217326665317,
+    "train_runtime": 11922.7119,
+    "train_samples": 109602,
+    "train_samples_per_second": 18.385,
+    "train_steps_per_second": 0.287
+}

generation_config.json

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+{
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": 128001,
+  "max_length": 4096,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.46.3"
+}

runs/Nov25_05-02-55_nb-fe82f499-97ca-407e-866f-4c442a8383ec-5786c4f6b9-b5vn4/events.out.tfevents.1732511817.nb-fe82f499-97ca-407e-866f-4c442a8383ec-5786c4f6b9-b5vn4.6306.0

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+size 728080

train_results.json

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+{
+    "epoch": 1.9994890883877088,
+    "total_flos": 314202706821120.0,
+    "train_loss": 0.38291217326665317,
+    "train_runtime": 11922.7119,
+    "train_samples": 109602,
+    "train_samples_per_second": 18.385,
+    "train_steps_per_second": 0.287
+}