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End of training
Browse files- README.md +66 -1
- pytorch_model.bin +1 -1
README.md
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---
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---
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---
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base_model: FPTAI/vibert-base-cased
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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: vi_fin_news
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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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# vi_fin_news
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This model is a fine-tuned version of [FPTAI/vibert-base-cased](https://huggingface.co/FPTAI/vibert-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7477
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- Accuracy: 0.9176
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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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- 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: 10
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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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| 0.2248 | 1.0 | 1150 | 0.2021 | 0.9172 |
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| 0.182 | 2.0 | 2300 | 0.2216 | 0.9230 |
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| 0.1301 | 3.0 | 3450 | 0.2681 | 0.9181 |
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| 0.0985 | 4.0 | 4600 | 0.3468 | 0.9226 |
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| 0.0651 | 5.0 | 5750 | 0.5141 | 0.9070 |
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| 0.0332 | 6.0 | 6900 | 0.5732 | 0.9187 |
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| 0.0266 | 7.0 | 8050 | 0.5991 | 0.9161 |
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| 0.0129 | 8.0 | 9200 | 0.6872 | 0.9157 |
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| 0.0095 | 9.0 | 10350 | 0.7212 | 0.9187 |
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| 0.0023 | 10.0 | 11500 | 0.7477 | 0.9176 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.1.2
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- Datasets 2.12.0
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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 461492462
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version https://git-lfs.github.com/spec/v1
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size 461492462
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