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End of training

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  2. model.safetensors +1 -1
README.md ADDED
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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-viwiki
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+ results: []
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+ ---
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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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+
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+ # mtl-infoxlm-base-viwiki
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+
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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: 0.5990
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.9148 | 1.0 | 960 | 0.8810 |
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+ | 0.7963 | 2.0 | 1920 | 0.7163 |
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+ | 0.6912 | 3.0 | 2880 | 0.6774 |
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+ | 0.7008 | 4.0 | 3840 | 0.6341 |
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+ | 0.6108 | 5.0 | 4800 | 0.6281 |
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+ | 0.6085 | 6.0 | 5760 | 0.6240 |
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+ | 0.487 | 7.0 | 6720 | 0.5996 |
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+ | 0.6151 | 8.0 | 7680 | 0.5914 |
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+ | 0.5214 | 9.0 | 8640 | 0.5911 |
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+ | 0.5058 | 10.0 | 9600 | 0.5990 |
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+
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+
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+ ### Framework versions
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+
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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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