End of training
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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-large
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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-large-viwiki
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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-large-viwiki
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This model is a fine-tuned version of [microsoft/infoxlm-large](https://huggingface.co/microsoft/infoxlm-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3245
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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: 8
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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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- 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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| 0.7148 | 1.0 | 1920 | 0.6274 |
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| 0.3159 | 2.0 | 3840 | 0.4945 |
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| 0.3491 | 3.0 | 5760 | 0.5035 |
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| 0.4359 | 4.0 | 7680 | 0.5304 |
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| 0.0312 | 5.0 | 9600 | 0.5890 |
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| 0.2256 | 6.0 | 11520 | 0.8323 |
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| 0.2909 | 7.0 | 13440 | 0.9609 |
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| 0.1019 | 8.0 | 15360 | 0.9997 |
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| 0.0191 | 9.0 | 17280 | 1.2223 |
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| 0.009 | 10.0 | 19200 | 1.3245 |
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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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model.safetensors
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