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train_cola_456_1760637816

Text Generation
PEFT
Safetensors
Transformers
llama-factory
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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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+ - base_model:adapter:meta-llama/Meta-Llama-3-8B-Instruct
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+ - llama-factory
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+ - transformers
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+ pipeline_tag: text-generation
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+ model-index:
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+ - name: train_cola_456_1760637816
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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_456_1760637816
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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: 0.2586
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+ - Num Input Tokens Seen: 7334376
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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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+ | 0.2719 | 1.0 | 1924 | 0.2611 | 366712 |
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+ | 0.2655 | 2.0 | 3848 | 0.2600 | 734016 |
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+ | 0.2503 | 3.0 | 5772 | 0.2597 | 1100824 |
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+ | 0.199 | 4.0 | 7696 | 0.2613 | 1467248 |
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+ | 0.2499 | 5.0 | 9620 | 0.2612 | 1834568 |
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+ | 0.2738 | 6.0 | 11544 | 0.2595 | 2201464 |
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+ | 0.2477 | 7.0 | 13468 | 0.2589 | 2568040 |
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+ | 0.1865 | 8.0 | 15392 | 0.2600 | 2934360 |
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+ | 0.3004 | 9.0 | 17316 | 0.2593 | 3301448 |
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+ | 0.2937 | 10.0 | 19240 | 0.2602 | 3668312 |
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+ | 0.265 | 11.0 | 21164 | 0.2593 | 4034856 |
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+ | 0.2789 | 12.0 | 23088 | 0.2589 | 4401344 |
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+ | 0.2578 | 13.0 | 25012 | 0.2591 | 4767736 |
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+ | 0.3012 | 14.0 | 26936 | 0.2584 | 5134344 |
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+ | 0.2325 | 15.0 | 28860 | 0.2585 | 5501408 |
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+ | 0.2727 | 16.0 | 30784 | 0.2583 | 5867920 |
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+ | 0.2254 | 17.0 | 32708 | 0.2586 | 6234920 |
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+ | 0.2709 | 18.0 | 34632 | 0.2587 | 6601944 |
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+ | 0.2282 | 19.0 | 36556 | 0.2587 | 6968096 |
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+ | 0.2455 | 20.0 | 38480 | 0.2586 | 7334376 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.17.1
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+ - Transformers 4.51.3
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+ - Pytorch 2.9.0+cu128
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+ - Datasets 4.0.0
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+ - Tokenizers 0.21.4
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