Model save

README.md

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+---
+base_model: AmberYifan/mistral-v0.1-7b-sft-ultrachat
+library_name: transformers
+model_name: Mistral-v0.1-7b-sft-ultrachat-hhrlhf
+tags:
+- generated_from_trainer
+- trl
+- sft
+licence: license
+---
+
+# Model Card for Mistral-v0.1-7b-sft-ultrachat-hhrlhf
+
+This model is a fine-tuned version of [AmberYifan/mistral-v0.1-7b-sft-ultrachat](https://huggingface.co/AmberYifan/mistral-v0.1-7b-sft-ultrachat).
+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="AmberYifan/Mistral-v0.1-7b-sft-ultrachat-hhrlhf", 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: 0.12.2
+- Transformers: 4.46.3
+- Pytorch: 2.5.1+cu118
+- Datasets: 3.2.0
+- 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": 1.0,
+    "total_flos": 40105673687040.0,
+    "train_loss": 1.4248850550079346,
+    "train_runtime": 11739.5291,
+    "train_samples": 50000,
+    "train_samples_per_second": 4.259,
+    "train_steps_per_second": 0.266
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.46.3"
+}

runs/Jan25_00-29-48_gilbreth-j001.rcac.purdue.edu/events.out.tfevents.1737783439.gilbreth-j001.rcac.purdue.edu.27112.0

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-size 138137
+oid sha256:6924058f59887c0c4d6f3bcdd3eadd9f9b7c77c349a1ffca727ae45a75f8f1df
+size 138491

train_results.json

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+{
+    "epoch": 1.0,
+    "total_flos": 40105673687040.0,
+    "train_loss": 1.4248850550079346,
+    "train_runtime": 11739.5291,
+    "train_samples": 50000,
+    "train_samples_per_second": 4.259,
+    "train_steps_per_second": 0.266
+}