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train_math_qa_789_1760637951

Text Generation
PEFT
Safetensors
Transformers
llama-factory
lora
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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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+ - lora
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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_math_qa_789_1760637951
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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_math_qa_789_1760637951
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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: 3.3980
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+ - Num Input Tokens Seen: 77933776
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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: 789
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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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+ | 0.6772 | 1.0 | 6714 | 0.6794 | 3898224 |
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+ | 0.6364 | 2.0 | 13428 | 0.6400 | 7796616 |
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+ | 0.6076 | 3.0 | 20142 | 0.6015 | 11688128 |
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+ | 0.2153 | 4.0 | 26856 | 0.6934 | 15585640 |
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+ | 0.4709 | 5.0 | 33570 | 0.8307 | 19481256 |
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+ | 0.194 | 6.0 | 40284 | 1.0368 | 23379928 |
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+ | 0.7205 | 7.0 | 46998 | 1.1229 | 27274992 |
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+ | 0.3048 | 8.0 | 53712 | 1.4383 | 31169464 |
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+ | 0.2298 | 9.0 | 60426 | 1.3880 | 35061680 |
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+ | 0.1602 | 10.0 | 67140 | 1.5225 | 38957336 |
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+ | 0.2557 | 11.0 | 73854 | 1.6556 | 42854488 |
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+ | 0.0919 | 12.0 | 80568 | 1.7859 | 46754376 |
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+ | 0.0001 | 13.0 | 87282 | 2.0551 | 50647376 |
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+ | 0.0 | 14.0 | 93996 | 2.3546 | 54543272 |
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+ | 0.0002 | 15.0 | 100710 | 2.3859 | 58447368 |
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+ | 0.0 | 16.0 | 107424 | 2.5504 | 62343120 |
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+ | 0.0 | 17.0 | 114138 | 2.7032 | 66240072 |
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+ | 0.0 | 18.0 | 120852 | 3.1993 | 70140040 |
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+ | 0.0 | 19.0 | 127566 | 3.3702 | 74035080 |
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+ | 0.0 | 20.0 | 134280 | 3.3980 | 77933776 |
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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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