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rbelanec
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train_copa_1757340182

PEFT
Safetensors
llama-factory
lntuning
Generated from Trainer
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  2. adapter_model.safetensors +1 -1
README.md ADDED
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+ ---
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+ library_name: peft
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+ license: llama3
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+ base_model: meta-llama/Meta-Llama-3-8B-Instruct
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+ tags:
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+ - llama-factory
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+ - generated_from_trainer
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+ model-index:
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+ - name: train_copa_1757340182
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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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+ # train_copa_1757340182
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0395
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+ - Num Input Tokens Seen: 282368
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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: 5e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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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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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 10.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
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+ |:-------------:|:-----:|:----:|:---------------:|:-----------------:|
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+ | 0.0771 | 0.5 | 45 | 0.1575 | 14176 |
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+ | 0.0904 | 1.0 | 90 | 0.1057 | 28256 |
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+ | 0.1193 | 1.5 | 135 | 0.0855 | 42240 |
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+ | 0.0732 | 2.0 | 180 | 0.0704 | 56480 |
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+ | 0.1398 | 2.5 | 225 | 0.0614 | 70688 |
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+ | 0.1844 | 3.0 | 270 | 0.0523 | 84736 |
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+ | 0.01 | 3.5 | 315 | 0.0443 | 98784 |
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+ | 0.116 | 4.0 | 360 | 0.0458 | 113024 |
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+ | 0.0033 | 4.5 | 405 | 0.0412 | 127264 |
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+ | 0.1303 | 5.0 | 450 | 0.0445 | 141440 |
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+ | 0.0177 | 5.5 | 495 | 0.0422 | 155488 |
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+ | 0.0035 | 6.0 | 540 | 0.0397 | 169600 |
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+ | 0.0757 | 6.5 | 585 | 0.0419 | 183648 |
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+ | 0.0091 | 7.0 | 630 | 0.0386 | 197792 |
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+ | 0.0243 | 7.5 | 675 | 0.0430 | 211936 |
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+ | 0.0013 | 8.0 | 720 | 0.0413 | 225984 |
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+ | 0.0185 | 8.5 | 765 | 0.0391 | 239936 |
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+ | 0.1051 | 9.0 | 810 | 0.0393 | 254112 |
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+ | 0.0014 | 9.5 | 855 | 0.0405 | 268256 |
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+ | 0.0008 | 10.0 | 900 | 0.0395 | 282368 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.15.2
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+ - Transformers 4.51.3
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+ - Pytorch 2.8.0+cu128
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+ - Datasets 3.6.0
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+ - Tokenizers 0.21.1
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