Lo logramos de nuevo equipo! 🤗
Browse files
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: distilroberta-base
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tags:
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- text-classification
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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: distilroberta-base-mrpc-glue-upeu
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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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# distilroberta-base-mrpc-glue-upeu
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the nyu-mll/glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7301
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- Accuracy: 0.8309
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- F1: 0.8821
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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: 3
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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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| 0.5119 | 1.0893 | 500 | 0.4417 | 0.8333 | 0.8824 |
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| 0.3453 | 2.1786 | 1000 | 0.7301 | 0.8309 | 0.8821 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.5.0+cu121
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- Datasets 3.0.2
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 3.0,
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"total_flos": 205471423937184.0,
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"train_loss": 0.3733939985996931,
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"train_runtime": 158.9318,
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"train_samples_per_second": 69.237,
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"train_steps_per_second": 8.664
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}
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model.safetensors
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size 328492280
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version https://git-lfs.github.com/spec/v1
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runs/Oct29_17-28-40_6f000e9161e0/events.out.tfevents.1730222955.6f000e9161e0.289.0
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size 6632
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train_results.json
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{
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"epoch": 3.0,
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"total_flos": 205471423937184.0,
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"train_loss": 0.3733939985996931,
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"train_runtime": 158.9318,
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"train_samples_per_second": 69.237,
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"train_steps_per_second": 8.664
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}
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