Model save

README.md

@@ -1,6 +1,5 @@
 ---
 base_model: HuggingFaceTB/SmolLM2-135M-Instruct
-datasets: wykonos/movies
 library_name: transformers
 model_name: Pelliculum-Chatbot
 tags:
@@ -12,7 +11,7 @@ licence: license
 
 # Model Card for Pelliculum-Chatbot
 
-This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-135M-Instruct) on the [wykonos/movies](https://huggingface.co/datasets/wykonos/movies) dataset.
+This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-135M-Instruct).
 It has been trained using [TRL](https://github.com/huggingface/trl).
 
 ## Quick start
@@ -28,7 +27,7 @@ print(output["generated_text"])
 
 ## Training procedure
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/realdragonma-pelliculum/huggingface/runs/7ck14yco) 
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/realdragonma-pelliculum/huggingface/runs/gucz3wwp) 
 
 
 This model was trained with SFT.

adapter_model.safetensors

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final_checkpoint/adapter_config.json

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   "target_modules": [
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   "task_type": "CAUSAL_LM",

final_checkpoint/adapter_model.safetensors

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final_checkpoint/tokenizer.json

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 {
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final_checkpoint/training_args.bin

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