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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-3_120-samples_config-2_auto
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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-3_120-samples_config-2_auto
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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: 0.6626
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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: 16
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+ - total_train_batch_size: 16
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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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+ | 2.2357 | 0.9091 | 5 | 2.1322 |
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+ | 1.6899 | 2.0 | 11 | 1.3005 |
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+ | 0.6881 | 2.9091 | 16 | 0.6189 |
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+ | 0.5601 | 4.0 | 22 | 0.4413 |
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+ | 0.3305 | 4.9091 | 27 | 0.3900 |
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+ | 0.3093 | 6.0 | 33 | 0.3525 |
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+ | 0.2941 | 6.9091 | 38 | 0.3440 |
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+ | 0.2705 | 8.0 | 44 | 0.3357 |
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+ | 0.255 | 8.9091 | 49 | 0.3278 |
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+ | 0.1954 | 10.0 | 55 | 0.3272 |
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+ | 0.1796 | 10.9091 | 60 | 0.3391 |
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+ | 0.1892 | 12.0 | 66 | 0.3651 |
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+ | 0.1795 | 12.9091 | 71 | 0.3963 |
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+ | 0.0982 | 14.0 | 77 | 0.4424 |
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+ | 0.0568 | 14.9091 | 82 | 0.5230 |
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+ | 0.046 | 16.0 | 88 | 0.6079 |
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+ | 0.0156 | 16.9091 | 93 | 0.6626 |
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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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