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train_boolq_456_1765348231

PEFT
Safetensors
llama-factory
prompt-tuning
Generated from Trainer
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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_boolq_456_1765348231
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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_456_1765348231
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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: 0.3322
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+ - Num Input Tokens Seen: 42758400
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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: 0.03
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 456
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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: 20
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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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+ | 0.3421 | 1.0 | 2121 | 0.3622 | 2134176 |
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+ | 0.3701 | 2.0 | 4242 | 0.3352 | 4262848 |
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+ | 0.3564 | 3.0 | 6363 | 0.3581 | 6393376 |
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+ | 0.3406 | 4.0 | 8484 | 0.3343 | 8527168 |
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+ | 0.3276 | 5.0 | 10605 | 0.3372 | 10663616 |
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+ | 0.382 | 6.0 | 12726 | 0.3354 | 12804064 |
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+ | 0.3345 | 7.0 | 14847 | 0.3352 | 14945088 |
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+ | 0.3754 | 8.0 | 16968 | 0.3446 | 17092000 |
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+ | 0.276 | 9.0 | 19089 | 0.3377 | 19221568 |
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+ | 0.3576 | 10.0 | 21210 | 0.3368 | 21363392 |
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+ | 0.332 | 11.0 | 23331 | 0.3349 | 23510432 |
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+ | 0.3691 | 12.0 | 25452 | 0.3381 | 25647872 |
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+ | 0.3393 | 13.0 | 27573 | 0.3332 | 27792544 |
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+ | 0.3103 | 14.0 | 29694 | 0.3336 | 29926112 |
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+ | 0.3476 | 15.0 | 31815 | 0.3338 | 32059584 |
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+ | 0.362 | 16.0 | 33936 | 0.3329 | 34199392 |
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+ | 0.3542 | 17.0 | 36057 | 0.3321 | 36344896 |
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+ | 0.328 | 18.0 | 38178 | 0.3320 | 38482112 |
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+ | 0.335 | 19.0 | 40299 | 0.3325 | 40624896 |
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+ | 0.3011 | 20.0 | 42420 | 0.3322 | 42758400 |
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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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