README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - summarize_from_feedback
metrics:
  - accuracy
model-index:
  - name: gpt2-rm-tldr
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: summarize_from_feedback
          type: summarize_from_feedback
          config: comparisons
          split: validation
          args: comparisons
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.5239644076853379

gpt2-rm-tldr

This model was trained from scratch on the summarize_from_feedback dataset. It achieves the following results on the evaluation set:

• Loss: 2.3421
• Accuracy: 0.5240

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: 1
• eval_batch_size: 1
• 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
1.89	1.0	92858	2.1223	0.5385
1.7813	2.0	185716	2.2080	0.5263
1.6242	3.0	278574	2.3421	0.5240

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.2+cu121
• Datasets 2.15.0
• Tokenizers 0.15.0