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README.md
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---
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library_name: transformers
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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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model-index:
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- name: mtl-infoxlm-base-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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# mtl-infoxlm-base-dsc
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This model is a fine-tuned version of [microsoft/infoxlm-base](https://huggingface.co/microsoft/infoxlm-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3796
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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: 1e-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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- lr_scheduler_warmup_ratio: 0.05
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 1.2818 | 1.0 | 1544 | 1.0238 |
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| 0.7074 | 2.0 | 3088 | 0.7507 |
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| 0.7236 | 3.0 | 4632 | 0.6240 |
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| 0.5222 | 4.0 | 6176 | 0.5627 |
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| 0.5053 | 5.0 | 7720 | 0.4812 |
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| 0.454 | 6.0 | 9264 | 0.4393 |
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| 0.3946 | 7.0 | 10808 | 0.4191 |
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| 0.5369 | 8.0 | 12352 | 0.3957 |
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| 0.3529 | 9.0 | 13896 | 0.3868 |
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| 0.4244 | 10.0 | 15440 | 0.3796 |
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### Framework versions
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- Transformers 4.44.2
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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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