Toastmachine/exaone_CSAT_test
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- adapter_model.safetensors +1 -1
README.md
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---
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library_name: peft
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license: other
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base_model: LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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model-index:
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- name: exaone_CSAT_test
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results: []
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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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# exaone_CSAT_test
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This model is a fine-tuned version of [LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct](https://huggingface.co/LGAI-EXAONE/EXAONE-3.0-7.8B-Instruct) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4792
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- Accuracy: 0.5628
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- F1: 0.5965
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 4
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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_steps: 200
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- training_steps: 2100
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
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| 24.6602 | 0.1121 | 50 | 24.1094 | 0.5477 | 0.5761 |
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| 12.8586 | 0.2242 | 100 | 6.5703 | 0.5729 | 0.6062 |
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| 0.3657 | 0.3363 | 150 | 0.4956 | 0.5678 | 0.6005 |
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| 0.5527 | 0.4484 | 200 | 0.4880 | 0.5678 | 0.6005 |
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| 0.9587 | 0.5605 | 250 | 0.5098 | 0.5729 | 0.6054 |
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| 0.9119 | 0.6726 | 300 | 0.4468 | 0.5678 | 0.6016 |
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| 0.0989 | 0.7848 | 350 | 0.4690 | 0.5729 | 0.6066 |
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| 0.6981 | 0.8969 | 400 | 0.4612 | 0.5628 | 0.5965 |
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| 0.5197 | 1.0090 | 450 | 0.4792 | 0.5628 | 0.5965 |
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### Framework versions
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- PEFT 0.13.2
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- Transformers 4.46.2
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- Pytorch 2.5.1+cu121
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 27280920
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version https://git-lfs.github.com/spec/v1
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oid sha256:272a392f32f4f95748eed5bfe6d93b181226d97dda5f7992039543b61cd71300
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size 27280920
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