End of training
Browse files- README.md +63 -0
- emissions.csv +2 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: mit
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base_model: xlm-roberta-base
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tags:
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- generated_from_trainer
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model-index:
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- name: xlm-roberta-HeQ-v1
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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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# xlm-roberta-HeQ-v1
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5099
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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-05
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- train_batch_size: 64
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- eval_batch_size: 64
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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: 7
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 425 | 1.3360 |
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| 1.0299 | 2.0 | 850 | 1.3235 |
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| 0.8198 | 3.0 | 1275 | 1.3101 |
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| 0.7801 | 4.0 | 1700 | 1.3679 |
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| 0.6767 | 5.0 | 2125 | 1.4158 |
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| 0.5853 | 6.0 | 2550 | 1.4657 |
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| 0.5853 | 7.0 | 2975 | 1.5099 |
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### Framework versions
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- Transformers 4.33.0.dev0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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emissions.csv
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timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region
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2023-08-23T13:52:12,fa6dcd9d-2015-4260-a7fe-baab9bc7294c,codecarbon,3119.8066515922546,0.14510296568665115,0.24810231889430387,Croatia,HRV,city of zagreb,N,,
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
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size 1109886697
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version https://git-lfs.github.com/spec/v1
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size 1109886697
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