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train_qnli_101112_1760638087

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_qnli_101112_1760638087
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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_qnli_101112_1760638087
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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: 0.0421
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+ - Num Input Tokens Seen: 207147488
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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: 101112
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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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+ | 0.0516 | 1.0 | 23567 | 0.0472 | 10356896 |
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+ | 0.0494 | 2.0 | 47134 | 0.0439 | 20715296 |
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+ | 0.0298 | 3.0 | 70701 | 0.0406 | 31065184 |
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+ | 0.0369 | 4.0 | 94268 | 0.0407 | 41428128 |
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+ | 0.0546 | 5.0 | 117835 | 0.0401 | 51784320 |
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+ | 0.0607 | 6.0 | 141402 | 0.0394 | 62144160 |
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+ | 0.071 | 7.0 | 164969 | 0.0392 | 72511552 |
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+ | 0.0365 | 8.0 | 188536 | 0.0383 | 82864256 |
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+ | 0.0241 | 9.0 | 212103 | 0.0392 | 93220320 |
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+ | 0.0532 | 10.0 | 235670 | 0.0430 | 103572992 |
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+ | 0.0269 | 11.0 | 259237 | 0.0425 | 113924768 |
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+ | 0.0115 | 12.0 | 282804 | 0.0423 | 124282240 |
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+ | 0.01 | 13.0 | 306371 | 0.0438 | 134645600 |
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+ | 0.0052 | 14.0 | 329938 | 0.0410 | 145000704 |
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+ | 0.0046 | 15.0 | 353505 | 0.0426 | 155349152 |
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+ | 0.0213 | 16.0 | 377072 | 0.0426 | 165706304 |
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+ | 0.0239 | 17.0 | 400639 | 0.0422 | 176064704 |
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+ | 0.0377 | 18.0 | 424206 | 0.0421 | 186423936 |
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+ | 0.017 | 19.0 | 447773 | 0.0421 | 196786464 |
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+ | 0.0164 | 20.0 | 471340 | 0.0421 | 207147488 |
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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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