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rbelanec
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train_sst2_1752763923

PEFT
Safetensors
llama-factory
prompt-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_sst2_1752763923
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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_sst2_1752763923
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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: 0.1764
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+ - Num Input Tokens Seen: 35412768
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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: 8
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+ - eval_batch_size: 8
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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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+ | 0.4867 | 0.5001 | 3789 | 0.4814 | 1865280 |
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+ | 0.3415 | 1.0001 | 7578 | 0.3408 | 3725296 |
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+ | 0.3341 | 1.5002 | 11367 | 0.2871 | 5592496 |
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+ | 0.2259 | 2.0003 | 15156 | 0.2488 | 7451728 |
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+ | 0.2091 | 2.5003 | 18945 | 0.2320 | 9312720 |
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+ | 0.2085 | 3.0004 | 22734 | 0.2201 | 11179712 |
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+ | 0.149 | 3.5005 | 26523 | 0.2128 | 13045888 |
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+ | 0.1517 | 4.0005 | 30312 | 0.2055 | 14911072 |
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+ | 0.2147 | 4.5006 | 34101 | 0.1990 | 16773344 |
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+ | 0.1958 | 5.0007 | 37890 | 0.1934 | 18639616 |
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+ | 0.2437 | 5.5007 | 41679 | 0.1902 | 20500224 |
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+ | 0.2142 | 6.0008 | 45468 | 0.1873 | 22362704 |
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+ | 0.1721 | 6.5009 | 49257 | 0.1836 | 24225104 |
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+ | 0.1674 | 7.0009 | 53046 | 0.1807 | 26097984 |
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+ | 0.1549 | 7.5010 | 56835 | 0.1792 | 27958656 |
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+ | 0.2901 | 8.0011 | 60624 | 0.1775 | 29826656 |
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+ | 0.1052 | 8.5011 | 64413 | 0.1771 | 31694624 |
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+ | 0.2088 | 9.0012 | 68202 | 0.1767 | 33553312 |
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+ | 0.2619 | 9.5013 | 71991 | 0.1764 | 35412768 |
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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 2.7.1+cu126
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+ - Datasets 3.6.0
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+ - Tokenizers 0.21.1
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