End of training
Browse files- README.md +82 -0
- pytorch_model.bin +1 -1
README.md
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---
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base_model: Fsoft-AIC/videberta-base
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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: videberta-base_1024
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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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# videberta-base_1024
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This model is a fine-tuned version of [Fsoft-AIC/videberta-base](https://huggingface.co/Fsoft-AIC/videberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5634
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- Accuracy: 0.75
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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: 0.0003
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 16
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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: 0.18
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- training_steps: 1000
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.6979 | 0.1 | 50 | 0.6724 | 0.75 |
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| 0.6979 | 0.21 | 100 | 0.6272 | 0.75 |
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| 0.6979 | 0.31 | 150 | 0.5727 | 0.75 |
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| 0.6979 | 0.41 | 200 | 0.5659 | 0.75 |
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| 0.6979 | 0.52 | 250 | 0.5675 | 0.75 |
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| 0.6979 | 0.62 | 300 | 0.5633 | 0.75 |
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| 0.6979 | 0.72 | 350 | 0.5931 | 0.75 |
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| 0.6979 | 0.83 | 400 | 0.5644 | 0.75 |
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| 0.6979 | 0.93 | 450 | 0.5633 | 0.75 |
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| 0.6979 | 1.03 | 500 | 0.5926 | 0.75 |
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| 0.6979 | 1.14 | 550 | 0.5649 | 0.75 |
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| 0.6979 | 1.24 | 600 | 0.5628 | 0.75 |
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| 0.6979 | 1.34 | 650 | 0.5631 | 0.75 |
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| 0.6979 | 1.45 | 700 | 0.5688 | 0.75 |
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| 0.6979 | 1.55 | 750 | 0.5624 | 0.75 |
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| 0.6979 | 1.65 | 800 | 0.5630 | 0.75 |
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| 0.6979 | 1.76 | 850 | 0.5628 | 0.75 |
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| 0.6979 | 1.86 | 900 | 0.5624 | 0.75 |
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| 0.6979 | 1.96 | 950 | 0.5637 | 0.75 |
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| 0.5706 | 2.07 | 1000 | 0.5634 | 0.75 |
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### Framework versions
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- Transformers 4.35.0.dev0
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.14.1
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 737457141
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version https://git-lfs.github.com/spec/v1
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oid sha256:baa9ee16cd3de8ccdda427441b280c6d692e941eb8eaea43015b03066b176397
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size 737457141
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