Model save
Browse files- README.md +69 -0
- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: bert-base-cased
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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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model-index:
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- name: mi-clase-antes-clase
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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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# mi-clase-antes-clase
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9634
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- Accuracy: 0.54
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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: 8
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- eval_batch_size: 8
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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: 10
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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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| 1.6273 | 1.0 | 38 | 1.5415 | 0.29 |
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| 1.1773 | 2.0 | 76 | 1.2650 | 0.41 |
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| 0.8388 | 3.0 | 114 | 1.2112 | 0.48 |
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| 0.6961 | 4.0 | 152 | 1.1264 | 0.53 |
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| 0.4043 | 5.0 | 190 | 1.4790 | 0.48 |
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| 0.2038 | 6.0 | 228 | 1.5849 | 0.51 |
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| 0.1678 | 7.0 | 266 | 1.6482 | 0.54 |
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| 0.0467 | 8.0 | 304 | 1.9042 | 0.51 |
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| 0.0127 | 9.0 | 342 | 2.0245 | 0.54 |
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| 0.0098 | 10.0 | 380 | 1.9634 | 0.54 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.2.2
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 433279996
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version https://git-lfs.github.com/spec/v1
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size 433279996
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