End of training
Browse files- README.md +69 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: mit
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base_model: facebook/xmod-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: xmod-base
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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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# xmod-base
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This model is a fine-tuned version of [facebook/xmod-base](https://huggingface.co/facebook/xmod-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5756
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- F1: 0.4000
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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-06
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.6685 | 1.0 | 189 | 0.6350 | 0.0 |
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| 0.6631 | 2.0 | 378 | 0.6223 | 0.0 |
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| 0.6368 | 3.0 | 567 | 0.6064 | 0.0 |
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| 0.6075 | 4.0 | 756 | 0.5928 | 0.0 |
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| 0.6102 | 5.0 | 945 | 0.5549 | 0.3729 |
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| 0.5635 | 6.0 | 1134 | 0.6121 | 0.2727 |
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| 0.5783 | 7.0 | 1323 | 0.5595 | 0.4118 |
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| 0.5206 | 8.0 | 1512 | 0.5852 | 0.4068 |
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| 0.5619 | 9.0 | 1701 | 0.5778 | 0.4000 |
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| 0.5518 | 10.0 | 1890 | 0.5756 | 0.4000 |
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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 3411383039
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version https://git-lfs.github.com/spec/v1
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size 3411383039
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