Model save
Browse files- README.md +72 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: mit
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base_model: microsoft/deberta-v3-large
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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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model-index:
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- name: checkpoints_28_9_microsoft_deberta_V4
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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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# checkpoints_28_9_microsoft_deberta_V4
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This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2854
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- Map@3: 0.5483
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- Accuracy: 0.435
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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: 2
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 32
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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: cosine
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- lr_scheduler_warmup_ratio: 0.2
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Map@3 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
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| 1.2365 | 0.11 | 100 | 1.0631 | 0.7583 | 0.64 |
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| 0.8608 | 0.21 | 200 | 0.7329 | 0.8383 | 0.75 |
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| 0.8527 | 0.32 | 300 | 0.6985 | 0.8575 | 0.78 |
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| 0.744 | 0.43 | 400 | 0.6498 | 0.8625 | 0.785 |
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| 0.7686 | 0.53 | 500 | 0.7450 | 0.8575 | 0.765 |
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| 1.4098 | 0.64 | 600 | 1.3030 | 0.5575 | 0.4 |
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| 1.4246 | 0.75 | 700 | 1.3018 | 0.5575 | 0.435 |
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| 1.3987 | 0.85 | 800 | 1.2906 | 0.5450 | 0.41 |
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| 1.4121 | 0.96 | 900 | 1.2854 | 0.5483 | 0.435 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.0.0
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- Datasets 2.9.0
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- Tokenizers 0.13.3
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 1740387701
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version https://git-lfs.github.com/spec/v1
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size 1740387701
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