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rbelanec
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train_cola_1754652147

PEFT
Safetensors
llama-factory
prefix-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_cola_1754652147
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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_cola_1754652147
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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: 0.2495
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+ - Num Input Tokens Seen: 3669168
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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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+ | 0.4911 | 0.5 | 962 | 0.4523 | 184192 |
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+ | 0.1788 | 1.0 | 1924 | 0.3084 | 367320 |
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+ | 0.2984 | 1.5 | 2886 | 0.2642 | 550840 |
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+ | 0.2195 | 2.0 | 3848 | 0.2571 | 734600 |
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+ | 0.2629 | 2.5 | 4810 | 0.2611 | 918600 |
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+ | 0.2186 | 3.0 | 5772 | 0.2509 | 1101216 |
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+ | 0.266 | 3.5 | 6734 | 0.2540 | 1284288 |
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+ | 0.2514 | 4.0 | 7696 | 0.2523 | 1468552 |
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+ | 0.2335 | 4.5 | 8658 | 0.2568 | 1651528 |
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+ | 0.247 | 5.0 | 9620 | 0.2540 | 1834816 |
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+ | 0.2706 | 5.5 | 10582 | 0.2504 | 2018016 |
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+ | 0.2512 | 6.0 | 11544 | 0.2505 | 2201584 |
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+ | 0.2484 | 6.5 | 12506 | 0.2499 | 2385200 |
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+ | 0.2463 | 7.0 | 13468 | 0.2510 | 2568288 |
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+ | 0.2712 | 7.5 | 14430 | 0.2528 | 2751584 |
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+ | 0.2327 | 8.0 | 15392 | 0.2523 | 2935056 |
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+ | 0.2754 | 8.5 | 16354 | 0.2484 | 3118000 |
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+ | 0.2497 | 9.0 | 17316 | 0.2506 | 3301760 |
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+ | 0.2494 | 9.5 | 18278 | 0.2497 | 3485344 |
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+ | 0.2594 | 10.0 | 19240 | 0.2495 | 3669168 |
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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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