Semhal2024/emotion-model3_fold_3
Browse files- README.md +73 -0
- adapter_model.safetensors +1 -1
README.md
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---
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library_name: peft
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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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- accuracy
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- f1
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model-index:
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- name: emotion-model2_3
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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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# emotion-model2_3
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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: 1.0322
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- Accuracy: 0.5385
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- F1: 0.5161
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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: 16
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- eval_batch_size: 32
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 1.3809 | 1.0 | 59 | 1.3544 | 0.3120 | 0.2551 |
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| 1.3375 | 2.0 | 118 | 1.2973 | 0.4017 | 0.3188 |
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| 1.2571 | 3.0 | 177 | 1.2098 | 0.4444 | 0.3649 |
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| 1.1913 | 4.0 | 236 | 1.2012 | 0.4872 | 0.4876 |
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| 1.1515 | 5.0 | 295 | 1.1937 | 0.4530 | 0.4105 |
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| 1.1014 | 6.0 | 354 | 1.0828 | 0.5214 | 0.4977 |
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| 1.1077 | 7.0 | 413 | 1.0547 | 0.5043 | 0.4763 |
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| 1.0864 | 8.0 | 472 | 1.0468 | 0.5342 | 0.5111 |
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| 1.0667 | 9.0 | 531 | 1.0322 | 0.5385 | 0.5161 |
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| 1.0396 | 10.0 | 590 | 1.0328 | 0.5171 | 0.4902 |
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### Framework versions
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- PEFT 0.15.2
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- Transformers 4.52.4
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- Pytorch 2.6.0+cu124
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- Datasets 3.6.0
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- Tokenizers 0.21.1
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 4741352
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version https://git-lfs.github.com/spec/v1
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oid sha256:4320d8bf4f2b318675aedaa71eefff1df93aadeffb74f6843861b56e2e7368c0
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size 4741352
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