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train_siqa_456_1760637832

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_siqa_456_1760637832
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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_siqa_456_1760637832
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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: 0.5750
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+ - Num Input Tokens Seen: 60272064
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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: 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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+ | 0.4459 | 1.0 | 7518 | 0.5798 | 3015336 |
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+ | 0.62 | 2.0 | 15036 | 0.5762 | 6029736 |
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+ | 0.2437 | 3.0 | 22554 | 0.5730 | 9044064 |
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+ | 0.6211 | 4.0 | 30072 | 0.5736 | 12056056 |
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+ | 0.7361 | 5.0 | 37590 | 0.5734 | 15070152 |
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+ | 0.672 | 6.0 | 45108 | 0.5748 | 18083976 |
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+ | 0.5897 | 7.0 | 52626 | 0.5733 | 21097056 |
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+ | 0.6191 | 8.0 | 60144 | 0.5744 | 24109664 |
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+ | 0.5043 | 9.0 | 67662 | 0.5741 | 27122784 |
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+ | 1.4349 | 10.0 | 75180 | 0.5727 | 30139392 |
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+ | 1.1223 | 11.0 | 82698 | 0.5727 | 33151800 |
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+ | 0.4852 | 12.0 | 90216 | 0.5714 | 36165976 |
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+ | 0.0319 | 13.0 | 97734 | 0.5722 | 39180248 |
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+ | 0.3707 | 14.0 | 105252 | 0.5737 | 42193928 |
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+ | 0.7959 | 15.0 | 112770 | 0.5732 | 45207272 |
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+ | 0.5074 | 16.0 | 120288 | 0.5743 | 48219232 |
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+ | 0.7606 | 17.0 | 127806 | 0.5750 | 51231624 |
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+ | 0.9033 | 18.0 | 135324 | 0.5750 | 54245832 |
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+ | 0.403 | 19.0 | 142842 | 0.5750 | 57258952 |
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+ | 0.6253 | 20.0 | 150360 | 0.5750 | 60272064 |
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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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