End of training

README.md

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+---
+license: mit
+base_model: FacebookAI/roberta-large
+tags:
+- generated_from_trainer
+datasets:
+- swag
+metrics:
+- accuracy
+model-index:
+- name: fine-tuned-roberta-large-swag
+  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. -->
+
+# fine-tuned-roberta-large-swag
+
+This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on the swag dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5723
+- Accuracy: 0.8876
+
+## 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: 1.5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.6007        | 1.0   | 4597  | 0.3438          | 0.8695   |
+| 0.3897        | 2.0   | 9194  | 0.3190          | 0.8824   |
+| 0.2257        | 3.0   | 13791 | 0.3866          | 0.8862   |
+| 0.1238        | 4.0   | 18388 | 0.5723          | 0.8876   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 1.11.0
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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