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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: microsoft/infoxlm-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_infoXLM-base_syl_DSC
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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_infoXLM-base_syl_DSC
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This model is a fine-tuned version of [microsoft/infoxlm-base](https://huggingface.co/microsoft/infoxlm-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8322
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- Exact Match: 0.671
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- F1: 0.8432
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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: 4
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- eval_batch_size: 4
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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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| 0.867 | 1.0 | 6364 | 0.7899 | 0.593 | 0.7980 |
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| 0.7092 | 2.0 | 12728 | 0.7218 | 0.641 | 0.8262 |
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| 0.6151 | 3.0 | 19092 | 0.6985 | 0.623 | 0.8371 |
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| 0.4986 | 4.0 | 25456 | 0.7597 | 0.657 | 0.8500 |
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| 0.416 | 5.0 | 31820 | 0.8322 | 0.671 | 0.8432 |
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### Framework versions
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- Transformers 4.44.0
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- Pytorch 2.4.0
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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size 1109842416
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