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README.md ADDED
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+ ---
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+ license: llama3
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+ library_name: peft
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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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+ base_model: meta-llama/Meta-Llama-3-8B-Instruct
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+ model-index:
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+ - name: Llama3-20240527
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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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+ # Llama3-20240527
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+
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+ This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6206
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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: 0.0002
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: constant
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+ - lr_scheduler_warmup_steps: 0.03
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+ - training_steps: 640
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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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+ | No log | 0.0510 | 40 | 0.6964 |
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+ | No log | 0.1019 | 80 | 0.6511 |
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+ | 0.7257 | 0.1529 | 120 | 0.6494 |
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+ | 0.7257 | 0.2038 | 160 | 0.6801 |
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+ | 0.6498 | 0.2548 | 200 | 0.6720 |
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+ | 0.6498 | 0.3057 | 240 | 0.6467 |
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+ | 0.6498 | 0.3567 | 280 | 0.6207 |
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+ | 0.6484 | 0.4076 | 320 | 0.6324 |
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+ | 0.6484 | 0.4586 | 360 | 0.6389 |
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+ | 0.6392 | 0.5096 | 400 | 0.6537 |
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+ | 0.6392 | 0.5605 | 440 | 0.6281 |
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+ | 0.6392 | 0.6115 | 480 | 0.6171 |
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+ | 0.6125 | 0.6624 | 520 | 0.6130 |
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+ | 0.6125 | 0.7134 | 560 | 0.6332 |
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+ | 0.6246 | 0.7643 | 600 | 0.6363 |
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+ | 0.6246 | 0.8153 | 640 | 0.6206 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.11.1
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+ - Transformers 4.41.1
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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