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train_cb_123_1760637639

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_cb_123_1760637639
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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_cb_123_1760637639
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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: 0.3933
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+ - Num Input Tokens Seen: 742296
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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: 0.001
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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: 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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+ | 0.2819 | 1.0 | 57 | 0.7586 | 37160 |
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+ | 0.1652 | 2.0 | 114 | 0.2106 | 73720 |
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+ | 0.1091 | 3.0 | 171 | 0.1681 | 110296 |
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+ | 0.0807 | 4.0 | 228 | 0.1857 | 147784 |
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+ | 0.0258 | 5.0 | 285 | 0.1615 | 184368 |
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+ | 0.0447 | 6.0 | 342 | 0.2889 | 221536 |
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+ | 0.0144 | 7.0 | 399 | 0.1307 | 258720 |
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+ | 0.0113 | 8.0 | 456 | 0.1529 | 295408 |
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+ | 0.0066 | 9.0 | 513 | 0.1519 | 332648 |
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+ | 0.0137 | 10.0 | 570 | 0.1792 | 369976 |
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+ | 0.0018 | 11.0 | 627 | 0.2539 | 406840 |
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+ | 0.0023 | 12.0 | 684 | 0.2909 | 444728 |
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+ | 0.0006 | 13.0 | 741 | 0.3705 | 481720 |
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+ | 0.0008 | 14.0 | 798 | 0.3660 | 518664 |
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+ | 0.0004 | 15.0 | 855 | 0.3678 | 555728 |
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+ | 0.0002 | 16.0 | 912 | 0.3891 | 593096 |
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+ | 0.0002 | 17.0 | 969 | 0.3793 | 629760 |
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+ | 0.0002 | 18.0 | 1026 | 0.3887 | 667432 |
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+ | 0.0003 | 19.0 | 1083 | 0.3914 | 704816 |
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+ | 0.0001 | 20.0 | 1140 | 0.3933 | 742296 |
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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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