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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: other
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+ base_model: TinyLlama/TinyLlama-1.1B-step-50K-105b
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+ tags:
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+ - llama-factory
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+ - full
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+ - generated_from_trainer
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+ model-index:
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+ - name: tinyllama_sft_full
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+ results: []
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+ ---
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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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+
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+ # tinyllama_sft_full
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+
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+ This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-step-50K-105b](https://huggingface.co/TinyLlama/TinyLlama-1.1B-step-50K-105b) on the jailbreak_attack_sft_data_12197 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0074
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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+ - train_batch_size: 14
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+ - eval_batch_size: 10
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 4
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+ - total_train_batch_size: 56
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+ - total_eval_batch_size: 40
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+ - optimizer: Use 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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+ - num_epochs: 8.0
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 0.0109 | 1.8692 | 400 | 0.0107 |
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+ | 0.0068 | 3.7383 | 800 | 0.0079 |
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+ | 0.0059 | 5.6075 | 1200 | 0.0075 |
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+ | 0.0053 | 7.4766 | 1600 | 0.0074 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.47.0
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.21.0
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+ "train_loss": 0.01869776981195139,
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+ "train_samples_per_second": 22.925,
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+ "train_steps_per_second": 0.41
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+ }
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