Commit
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End of training
Browse files- README.md +74 -1
- pytorch_model.bin +1 -1
README.md
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---
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license:
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---
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---
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license: apache-2.0
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base_model: BSC-TeMU/roberta-base-bne
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tags:
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- generated_from_trainer
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datasets:
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- amazon_reviews_multi
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metrics:
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- accuracy
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model-index:
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- name: amazon_es_reviews
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: amazon_reviews_multi
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type: amazon_reviews_multi
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config: es
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split: validation
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args: es
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9295
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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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# amazon_es_reviews
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This model is a fine-tuned version of [BSC-TeMU/roberta-base-bne](https://huggingface.co/BSC-TeMU/roberta-base-bne) on the amazon_reviews_multi dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2246
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- Accuracy: 0.9295
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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: 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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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.1939 | 1.0 | 938 | 0.2086 | 0.93 |
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| 0.0999 | 2.0 | 1876 | 0.2246 | 0.9295 |
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### Framework versions
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- Transformers 4.32.1
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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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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
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size 498648433
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version https://git-lfs.github.com/spec/v1
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size 498648433
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