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End of training

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  2. adapter_model.safetensors +1 -1
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: Llama3.1-8b-instruct-SFT-2024-09-20_LoRAs_r64
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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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+ # Llama3.1-8b-instruct-SFT-2024-09-20_LoRAs_r64
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.0712
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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: 1e-05
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+ - train_batch_size: 6
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+ - eval_batch_size: 1
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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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+ - num_epochs: 1.5
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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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+ | 1.5247 | 0.0793 | 1000 | 1.3914 |
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+ | 1.341 | 0.1586 | 2000 | 1.3288 |
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+ | 1.314 | 0.2380 | 3000 | 1.2961 |
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+ | 1.261 | 0.3173 | 4000 | 1.2635 |
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+ | 1.2397 | 0.3966 | 5000 | 1.2353 |
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+ | 1.212 | 0.4759 | 6000 | 1.2240 |
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+ | 1.2051 | 0.5552 | 7000 | 1.2019 |
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+ | 1.1845 | 0.6346 | 8000 | 1.1861 |
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+ | 1.157 | 0.7139 | 9000 | 1.1684 |
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+ | 1.1418 | 0.7932 | 10000 | 1.1580 |
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+ | 1.1374 | 0.8725 | 11000 | 1.1385 |
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+ | 1.1187 | 0.9519 | 12000 | 1.1243 |
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+ | 1.0841 | 1.0312 | 13000 | 1.1180 |
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+ | 1.0365 | 1.1105 | 14000 | 1.1062 |
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+ | 1.0266 | 1.1898 | 15000 | 1.0974 |
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+ | 1.0216 | 1.2691 | 16000 | 1.0935 |
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+ | 1.0217 | 1.3485 | 17000 | 1.0818 |
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+ | 1.0048 | 1.4278 | 18000 | 1.0712 |
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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 4.44.2
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 3.0.0
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+ - Tokenizers 0.19.1
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