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-
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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-
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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-
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This model is a fine-tuned version of [microsoft/infoxlm-
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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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:
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- eval_batch_size:
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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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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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### Framework versions
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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-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-large-dsc
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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: 0.3297
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## Model description
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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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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.5192 | 1.0 | 3087 | 0.5891 |
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| 0.3815 | 2.0 | 6174 | 0.3213 |
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| 0.4907 | 3.0 | 9261 | 0.2747 |
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| 0.4225 | 4.0 | 12348 | 0.2774 |
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| 0.1924 | 5.0 | 15435 | 0.2602 |
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| 0.1058 | 6.0 | 18522 | 0.2309 |
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| 0.2346 | 7.0 | 21609 | 0.2509 |
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| 0.0394 | 8.0 | 24696 | 0.2947 |
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| 0.0299 | 9.0 | 27783 | 0.3111 |
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| 0.1085 | 10.0 | 30870 | 0.3297 |
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### Framework versions
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model.safetensors
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