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Browse files- README.md +74 -0
- pytorch_model.bin +1 -1
README.md
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---
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base_model: VuongQuoc/checkpoints_10_1_microsoft_deberta_V1.1_384
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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_10_2_microsoft_deberta_V1.2_384
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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_10_2_microsoft_deberta_V1.2_384
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This model is a fine-tuned version of [VuongQuoc/checkpoints_10_1_microsoft_deberta_V1.1_384](https://huggingface.co/VuongQuoc/checkpoints_10_1_microsoft_deberta_V1.1_384) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6698
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- Map@3: 0.8683
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- Accuracy: 0.785
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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-06
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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: 16
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- total_train_batch_size: 32
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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: 0.1
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- training_steps: 1200
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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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| 0.8295 | 0.05 | 100 | 0.7767 | 0.8450 | 0.75 |
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| 0.7279 | 0.11 | 200 | 0.7538 | 0.8558 | 0.765 |
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| 0.6976 | 0.16 | 300 | 0.7334 | 0.8633 | 0.775 |
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| 0.7022 | 0.21 | 400 | 0.7152 | 0.8550 | 0.77 |
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| 0.6997 | 0.27 | 500 | 0.7223 | 0.8592 | 0.77 |
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| 0.7001 | 0.32 | 600 | 0.7229 | 0.8500 | 0.755 |
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| 0.7 | 0.37 | 700 | 0.6855 | 0.8675 | 0.785 |
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| 0.7384 | 0.43 | 800 | 0.6737 | 0.8683 | 0.785 |
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| 0.8378 | 0.48 | 900 | 0.6694 | 0.87 | 0.79 |
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| 0.8093 | 0.53 | 1000 | 0.6715 | 0.8692 | 0.785 |
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| 0.8035 | 0.59 | 1100 | 0.6699 | 0.8683 | 0.785 |
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| 0.7825 | 0.64 | 1200 | 0.6698 | 0.8683 | 0.785 |
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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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