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README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: distilroberta-base
+tags:
+- text-classification
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: Sist-Diego-distilroberta-base-mrpc-glue-omar-espejel
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Sist-Diego-distilroberta-base-mrpc-glue-omar-espejel
+
+This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the google-bert/bert-base-uncased dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5806
+- Accuracy: 0.8554
+- F1: 0.8941
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
+| 0.5454        | 1.0893 | 500  | 0.4457          | 0.8431   | 0.8900 |
+| 0.3577        | 2.1786 | 1000 | 0.5806          | 0.8554   | 0.8941 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.5.0+cu121
+- Datasets 3.0.2
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 3.0,
+    "total_flos": 205471423937184.0,
+    "train_loss": 0.39935025704798705,
+    "train_runtime": 180.8937,
+    "train_samples_per_second": 60.831,
+    "train_steps_per_second": 7.612
+}

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train_results.json

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+{
+    "epoch": 3.0,
+    "total_flos": 205471423937184.0,
+    "train_loss": 0.39935025704798705,
+    "train_runtime": 180.8937,
+    "train_samples_per_second": 60.831,
+    "train_steps_per_second": 7.612
+}