README.md

metadata

license: mit
tags:
  - generated_from_trainer
datasets:
  - kpriyanshu256/the_verge-linustechtips-two_min
metrics:
  - accuracy
base_model: gpt2
model-index:
  - name: gpt-ya2-v2
    results:
      - task:
          type: text-generation
          name: Causal Language Modeling
        dataset:
          name: kpriyanshu256/the_verge-linustechtips-two_min
          type: kpriyanshu256/the_verge-linustechtips-two_min
        metrics:
          - type: accuracy
            value: 0.3690952822914751
            name: Accuracy

gpt-ya2-v2

This model is a fine-tuned version of gpt2 on the kpriyanshu256/the_verge-linustechtips-two_min dataset. It achieves the following results on the evaluation set:

• Loss: 3.1519
• Accuracy: 0.3691

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: 5.0
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.25.0.dev0
• Pytorch 1.11.0
• Datasets 2.1.0
• Tokenizers 0.12.1