End of training
Browse files- README.md +70 -0
- adapter_model.safetensors +1 -1
README.md
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---
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library_name: peft
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license: mit
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base_model: roberta-large
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tags:
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- base_model:adapter:roberta-large
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- lora
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- transformers
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model-index:
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- name: TON_IoT_no_injection_LoRA
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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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# TON_IoT_no_injection_LoRA
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0095
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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: 5e-05
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- train_batch_size: 64
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- eval_batch_size: 64
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 94 | 0.2847 |
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| No log | 2.0 | 188 | 0.0325 |
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| No log | 3.0 | 282 | 0.0130 |
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| No log | 4.0 | 376 | 0.0127 |
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| No log | 5.0 | 470 | 0.0116 |
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| 0.1337 | 6.0 | 564 | 0.0114 |
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| 0.1337 | 7.0 | 658 | 0.0106 |
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| 0.1337 | 8.0 | 752 | 0.0098 |
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| 0.1337 | 9.0 | 846 | 0.0092 |
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| 0.1337 | 10.0 | 940 | 0.0095 |
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### Framework versions
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- PEFT 0.17.1
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- Transformers 4.57.0
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- Pytorch 2.8.0+cu126
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- Datasets 4.2.0
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- Tokenizers 0.22.1
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adapter_model.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 13665232
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version https://git-lfs.github.com/spec/v1
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oid sha256:eff588eb97e75b98a12d3e285b149e688c55f140d23974640955e5feb8c0068e
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size 13665232
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