Model save
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        README.md
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            +
            ---
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            library_name: peft
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            license: llama3.2
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            base_model: meta-llama/Llama-3.2-3B
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            tags:
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            - trl
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            - sft
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            - generated_from_trainer
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            datasets:
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            - generator
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            model-index:
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            - name: llama3-3b-classification-gpt4o-100k
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              results: []
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            +
            ---
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            <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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            should probably proofread and complete it, then remove this comment. -->
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            # llama3-3b-classification-gpt4o-100k
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            This model is a fine-tuned version of [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B) on the generator dataset.
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            It achieves the following results on the evaluation set:
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            - Loss: 2.2580
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            ## Model description
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            More information needed
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            ## Intended uses & limitations
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            More information needed
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            ## Training and evaluation data
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            More information needed
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            ## Training procedure
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            ### Training hyperparameters
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            The following hyperparameters were used during training:
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            - learning_rate: 0.0002
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            - train_batch_size: 16
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            - eval_batch_size: 16
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            - seed: 42
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            - distributed_type: multi-GPU
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            - num_devices: 8
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            - gradient_accumulation_steps: 2
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            - total_train_batch_size: 256
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            - total_eval_batch_size: 128
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            - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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            - lr_scheduler_type: cosine
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            - lr_scheduler_warmup_ratio: 0.1
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            - num_epochs: 10
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            ### Training results
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            | Training Loss | Epoch | Step | Validation Loss |
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            |:-------------:|:-----:|:----:|:---------------:|
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            | 2.1922        | 1.0   | 30   | 2.2939          |
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            | 1.9883        | 2.0   | 60   | 2.2309          |
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            | 1.9261        | 3.0   | 90   | 2.2480          |
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            | 1.877         | 4.0   | 120  | 2.2464          |
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            | 1.8508        | 5.0   | 150  | 2.2514          |
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            | 1.8357        | 6.0   | 180  | 2.2442          |
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            | 1.8225        | 7.0   | 210  | 2.2535          |
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            | 1.8153        | 8.0   | 240  | 2.2560          |
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            | 1.8065        | 9.0   | 270  | 2.2574          |
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            | 1.8084        | 10.0  | 300  | 2.2580          |
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            ### Framework versions
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            - PEFT 0.15.1
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            - Transformers 4.50.3
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            - Pytorch 2.6.0+cu124
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            - Datasets 3.5.0
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            - Tokenizers 0.21.1
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        all_results.json
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