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End of training
Browse files- README.md +64 -0
- model.safetensors +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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- f1
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model-index:
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- name: MRC_ER_videberta-base_word_ViWikiFC
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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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# MRC_ER_videberta-base_word_ViWikiFC
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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: 2.0166
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- Exact Match: 0.7804
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- F1: 0.8093
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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: 8
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- eval_batch_size: 8
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Exact Match | F1 |
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|:-------------:|:-----:|:-----:|:---------------:|:-----------:|:------:|
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| 0.6374 | 1.0 | 2093 | 1.7652 | 0.7622 | 0.7962 |
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| 0.5612 | 2.0 | 4186 | 1.7521 | 0.7718 | 0.8046 |
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| 0.5021 | 3.0 | 6279 | 1.8670 | 0.7823 | 0.8110 |
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| 0.4184 | 4.0 | 8372 | 1.9411 | 0.7823 | 0.8087 |
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| 0.381 | 5.0 | 10465 | 2.0166 | 0.7804 | 0.8093 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.1.2
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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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size 735049552
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version https://git-lfs.github.com/spec/v1
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size 735049552
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