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README.md
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---
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library_name: transformers
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license: mit
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base_model: microsoft/deberta-v3-base
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tags:
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- generated_from_trainer
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model-index:
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- name: deberta-v3-base-finetuned-nlp-course
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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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# deberta-v3-base-finetuned-nlp-course
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This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8528
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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: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 8
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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 | 101 | 2.0420 |
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| No log | 2.0 | 202 | 1.8421 |
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| No log | 3.0 | 303 | 1.6758 |
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| No log | 4.0 | 404 | 1.7467 |
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| 1.6881 | 5.0 | 505 | 1.7773 |
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| 1.6881 | 6.0 | 606 | 1.8313 |
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| 1.6881 | 7.0 | 707 | 1.8225 |
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| 1.6881 | 8.0 | 808 | 1.8528 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.0
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- Tokenizers 0.19.1
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