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NLP_HW3_roberta
This model is a fine-tuned version of roberta-base on the cosmos_qa dataset. It achieves the following results on the evaluation set:
- Loss: 1.1807
- Accuracy: 0.6704
- F1: 0.6703
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: 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: 3
Training results
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1
- Downloads last month
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Model tree for sakgoyal/NLP_HW3_roberta
Base model
FacebookAI/roberta-base
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("sakgoyal/NLP_HW3_roberta") model = AutoModelForMultipleChoice.from_pretrained("sakgoyal/NLP_HW3_roberta")