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README.md ADDED
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+ ---
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+ base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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+ library_name: peft
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+ license: llama3.1
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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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+ model-index:
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+ - name: Llama-31-8B_task-1_180-samples_config-1
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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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+ # Llama-31-8B_task-1_180-samples_config-1
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+
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+ This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.6819
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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: 1
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 8
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 50
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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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+ | 1.8393 | 1.0 | 17 | 1.7238 |
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+ | 1.3906 | 2.0 | 34 | 1.4334 |
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+ | 1.1829 | 3.0 | 51 | 1.2720 |
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+ | 1.0037 | 4.0 | 68 | 1.2264 |
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+ | 0.875 | 5.0 | 85 | 1.2729 |
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+ | 0.5286 | 6.0 | 102 | 1.4641 |
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+ | 0.2721 | 7.0 | 119 | 1.7061 |
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+ | 0.16 | 8.0 | 136 | 2.0944 |
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+ | 0.0814 | 9.0 | 153 | 2.3201 |
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+ | 0.0608 | 10.0 | 170 | 2.2903 |
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+ | 0.033 | 11.0 | 187 | 2.6819 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.12.0
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+ - Transformers 4.44.0
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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