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rbelanec
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train_siqa_1754652168

PEFT
Safetensors
llama-factory
prefix-tuning
Generated from Trainer
Model card Files
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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_siqa_1754652168
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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_siqa_1754652168
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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: 0.5506
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+ - Num Input Tokens Seen: 29840264
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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: 123
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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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+ | 0.5633 | 0.5 | 3759 | 0.5894 | 1495072 |
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+ | 0.5615 | 1.0 | 7518 | 0.5582 | 2984720 |
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+ | 0.5898 | 1.5 | 11277 | 0.5572 | 4477104 |
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+ | 0.5474 | 2.0 | 15036 | 0.5530 | 5970384 |
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+ | 0.5483 | 2.5 | 18795 | 0.5526 | 7462384 |
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+ | 0.5508 | 3.0 | 22554 | 0.5522 | 8954176 |
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+ | 0.5541 | 3.5 | 26313 | 0.5542 | 10445088 |
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+ | 0.5407 | 4.0 | 30072 | 0.5514 | 11937344 |
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+ | 0.5503 | 4.5 | 33831 | 0.5523 | 13430048 |
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+ | 0.5525 | 5.0 | 37590 | 0.5522 | 14920992 |
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+ | 0.5362 | 5.5 | 41349 | 0.5513 | 16412032 |
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+ | 0.5476 | 6.0 | 45108 | 0.5503 | 17904680 |
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+ | 0.5594 | 6.5 | 48867 | 0.5507 | 19397416 |
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+ | 0.5403 | 7.0 | 52626 | 0.5506 | 20888856 |
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+ | 0.5436 | 7.5 | 56385 | 0.5498 | 22381080 |
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+ | 0.5452 | 8.0 | 60144 | 0.5519 | 23872880 |
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+ | 0.547 | 8.5 | 63903 | 0.5513 | 25363344 |
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+ | 0.5609 | 9.0 | 67662 | 0.5512 | 26855848 |
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+ | 0.5374 | 9.5 | 71421 | 0.5504 | 28348712 |
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+ | 0.5473 | 10.0 | 75180 | 0.5506 | 29840264 |
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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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