End of training
Browse files- README.md +85 -0
- pytorch_model.bin +1 -1
README.md
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---
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base_model: asadfgglie/mDeBERTa-v3-base-xnli-multilingual-zeroshot-v1.0
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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: mDeBERTa-v3-base-xnli-multilingual-zeroshot-v1.1-seed20241201
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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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# mDeBERTa-v3-base-xnli-multilingual-zeroshot-v1.1-seed20241201
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This model is a fine-tuned version of [asadfgglie/mDeBERTa-v3-base-xnli-multilingual-zeroshot-v1.0](https://huggingface.co/asadfgglie/mDeBERTa-v3-base-xnli-multilingual-zeroshot-v1.0) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6134
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- F1 Macro: 0.8616
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- F1 Micro: 0.8634
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- Accuracy Balanced: 0.8616
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- Accuracy: 0.8634
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- Precision Macro: 0.8616
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- Recall Macro: 0.8616
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- Precision Micro: 0.8634
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- Recall Micro: 0.8634
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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: 128
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- seed: 20241201
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- gradient_accumulation_steps: 2
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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: linear
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- lr_scheduler_warmup_ratio: 0.06
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 Micro | Accuracy Balanced | Accuracy | Precision Macro | Recall Macro | Precision Micro | Recall Micro |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|:--------:|:---------------:|:------------:|:---------------:|:------------:|
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| 0.2034 | 0.17 | 200 | 0.4241 | 0.8481 | 0.8518 | 0.8451 | 0.8518 | 0.8541 | 0.8451 | 0.8518 | 0.8518 |
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| 0.219 | 0.34 | 400 | 0.4178 | 0.8608 | 0.8624 | 0.8615 | 0.8624 | 0.8602 | 0.8615 | 0.8624 | 0.8624 |
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| 0.2142 | 0.51 | 600 | 0.3810 | 0.8572 | 0.8602 | 0.8548 | 0.8602 | 0.8613 | 0.8548 | 0.8602 | 0.8602 |
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| 0.199 | 0.68 | 800 | 0.4314 | 0.8537 | 0.8571 | 0.8508 | 0.8571 | 0.8590 | 0.8508 | 0.8571 | 0.8571 |
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| 0.2005 | 0.85 | 1000 | 0.4282 | 0.8572 | 0.8602 | 0.8547 | 0.8602 | 0.8615 | 0.8547 | 0.8602 | 0.8602 |
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| 0.1846 | 1.02 | 1200 | 0.4631 | 0.8691 | 0.8703 | 0.8707 | 0.8703 | 0.8681 | 0.8707 | 0.8703 | 0.8703 |
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| 0.154 | 1.19 | 1400 | 0.4922 | 0.8599 | 0.8613 | 0.8610 | 0.8613 | 0.8590 | 0.8610 | 0.8613 | 0.8613 |
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| 0.1432 | 1.35 | 1600 | 0.5020 | 0.8540 | 0.8560 | 0.8540 | 0.8560 | 0.8541 | 0.8540 | 0.8560 | 0.8560 |
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| 0.1335 | 1.52 | 1800 | 0.5313 | 0.8479 | 0.8507 | 0.8461 | 0.8507 | 0.8505 | 0.8461 | 0.8507 | 0.8507 |
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| 0.1373 | 1.69 | 2000 | 0.5018 | 0.8546 | 0.8571 | 0.8533 | 0.8571 | 0.8563 | 0.8533 | 0.8571 | 0.8571 |
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| 0.128 | 1.86 | 2200 | 0.4896 | 0.8644 | 0.8655 | 0.8665 | 0.8655 | 0.8633 | 0.8665 | 0.8655 | 0.8655 |
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| 0.1257 | 2.03 | 2400 | 0.4922 | 0.8648 | 0.8666 | 0.8648 | 0.8666 | 0.8648 | 0.8648 | 0.8666 | 0.8666 |
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| 0.0959 | 2.2 | 2600 | 0.5814 | 0.8589 | 0.8613 | 0.8576 | 0.8613 | 0.8606 | 0.8576 | 0.8613 | 0.8613 |
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| 0.0918 | 2.37 | 2800 | 0.5987 | 0.8617 | 0.8634 | 0.8618 | 0.8634 | 0.8615 | 0.8618 | 0.8634 | 0.8634 |
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| 0.0992 | 2.54 | 3000 | 0.6117 | 0.8631 | 0.8650 | 0.8629 | 0.8650 | 0.8634 | 0.8629 | 0.8650 | 0.8650 |
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| 0.0897 | 2.71 | 3200 | 0.6191 | 0.8583 | 0.8602 | 0.8583 | 0.8602 | 0.8584 | 0.8583 | 0.8602 | 0.8602 |
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| 0.1065 | 2.88 | 3400 | 0.6221 | 0.8625 | 0.8645 | 0.8619 | 0.8645 | 0.8631 | 0.8619 | 0.8645 | 0.8645 |
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### Framework versions
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- Transformers 4.33.3
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- Pytorch 2.5.1+cu121
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- Datasets 2.14.7
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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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-
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size 1115313586
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version https://git-lfs.github.com/spec/v1
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size 1115313586
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