Training completed!
Browse files- README.md +70 -0
- model.safetensors +1 -1
README.md
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---
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base_model: vinai/phobert-base-v2
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tags:
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- generated_from_trainer
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model-index:
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- name: KLTN_CSI_PhoBERRT_v2
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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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# KLTN_CSI_PhoBERRT_v2
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This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0007
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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: 8
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- seed: 41
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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: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 369 | 0.1283 |
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| 0.2465 | 2.0 | 738 | 0.0901 |
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| 0.1381 | 3.0 | 1107 | 0.0591 |
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| 0.1381 | 4.0 | 1476 | 0.0484 |
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| 0.0916 | 5.0 | 1845 | 0.0397 |
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| 0.0455 | 6.0 | 2214 | 0.0151 |
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| 0.0335 | 7.0 | 2583 | 0.0170 |
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| 0.0335 | 8.0 | 2952 | 0.0157 |
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| 0.0164 | 9.0 | 3321 | 0.0036 |
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| 0.01 | 10.0 | 3690 | 0.0018 |
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| 0.0065 | 11.0 | 4059 | 0.0031 |
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| 0.0065 | 12.0 | 4428 | 0.0030 |
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| 0.0057 | 13.0 | 4797 | 0.0053 |
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| 0.0071 | 14.0 | 5166 | 0.0007 |
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| 0.0022 | 15.0 | 5535 | 0.0007 |
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### Framework versions
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- Transformers 4.39.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 540023384
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version https://git-lfs.github.com/spec/v1
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size 540023384
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