Training completed!
Browse files- README.md +62 -0
- emissions.csv +2 -0
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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metrics:
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- f1
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model-index:
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- name: xlm-roberta-base-finetuned-panx-all
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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-base-finetuned-panx-all
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1721
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- F1: 0.8525
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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: 5e-05
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- train_batch_size: 24
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- eval_batch_size: 24
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.2974 | 1.0 | 835 | 0.2015 | 0.8069 |
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| 0.1575 | 2.0 | 1670 | 0.1687 | 0.8432 |
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| 0.1027 | 3.0 | 2505 | 0.1721 | 0.8525 |
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### Framework versions
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- Transformers 4.42.2
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- Pytorch 2.3.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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emissions.csv
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timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue
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2024-09-27T17:56:25,codecarbon,fa4d0cf2-730c-4b42-a427-589f02730610,148.8727560043335,0.00045266563358816814,3.0406210359603447e-06,42.5,259.1256784238648,46.8457818031311,0.0017574552645285926,0.01195587039802204,0.0019363073050610565,0.01564963296761169,Norway,NOR,agder,,,Linux-6.10.11-200.fc40.x86_64-x86_64-with-glibc2.38,3.11.10,2.3.5,32,AMD Ryzen 9 7950X 16-Core Processor,1,1 x NVIDIA GeForce RTX 4090,8.7701,58.4567,124.92208480834961,machine,N,1.0
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