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rbelanec
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train_boolq_1754587244

PEFT
Safetensors
llama-factory
prompt-tuning
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_boolq_1754587244
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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_boolq_1754587244
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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: 0.2298
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+ - Num Input Tokens Seen: 20290176
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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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+ | 0.8159 | 0.5002 | 1061 | 0.2517 | 1069568 |
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+ | 0.3046 | 1.0005 | 2122 | 0.2182 | 2133248 |
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+ | 0.2353 | 1.5007 | 3183 | 0.2334 | 3194016 |
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+ | 0.2127 | 2.0009 | 4244 | 0.2192 | 4266592 |
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+ | 0.1608 | 2.5012 | 5305 | 0.2054 | 5343200 |
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+ | 0.1139 | 3.0014 | 6366 | 0.1978 | 6407840 |
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+ | 0.3431 | 3.5017 | 7427 | 0.2064 | 7476544 |
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+ | 0.192 | 4.0019 | 8488 | 0.2092 | 8540672 |
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+ | 0.1091 | 4.5021 | 9549 | 0.2167 | 9613088 |
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+ | 0.0205 | 5.0024 | 10610 | 0.2308 | 10682528 |
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+ | 0.2371 | 5.5026 | 11671 | 0.2199 | 11757792 |
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+ | 0.1841 | 6.0028 | 12732 | 0.2255 | 12820704 |
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+ | 0.3061 | 6.5031 | 13793 | 0.2306 | 13892416 |
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+ | 0.4188 | 7.0033 | 14854 | 0.2270 | 14957120 |
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+ | 0.4564 | 7.5035 | 15915 | 0.2281 | 16020704 |
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+ | 0.2621 | 8.0038 | 16976 | 0.2298 | 17090912 |
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+ | 0.5396 | 8.5040 | 18037 | 0.2308 | 18157184 |
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+ | 0.1557 | 9.0042 | 19098 | 0.2296 | 19222688 |
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+ | 0.3085 | 9.5045 | 20159 | 0.2298 | 20290176 |
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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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