Training in progress, step 500

README.md

@@ -1,7 +1,7 @@
 ---
 base_model: HuggingFaceTB/SmolLM2-135M
 library_name: transformers
-model_name: SmolLM2-360M-synthetic-concise-reasoning
+model_name: Smollm2-135M-concise-reasoning
 tags:
 - generated_from_trainer
 - sft
@@ -9,7 +9,7 @@ tags:
 licence: license
 ---
 
-# Model Card for SmolLM2-360M-synthetic-concise-reasoning
+# Model Card for Smollm2-135M-concise-reasoning
 
 This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M).
 It has been trained using [TRL](https://github.com/huggingface/trl).
@@ -20,7 +20,7 @@ It has been trained using [TRL](https://github.com/huggingface/trl).
 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="argilla/SmolLM2-360M-synthetic-concise-reasoning", device="cuda")
+generator = pipeline("text-generation", model="ThomasTheMaker/Smollm2-135M-concise-reasoning", device="cuda")
 output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
 print(output["generated_text"])
 ```

model.safetensors

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training_args.bin

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