tn_bacem_gpt2 / README.md
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metadata
library_name: transformers
license: mit
base_model: gpt2
tags:
  - generated_from_trainer
model-index:
  - name: tn_bacem_gpt2
    results: []

tn_bacem_gpt2

This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 4.1384

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: 0.0005
  • train_batch_size: 10
  • eval_batch_size: 10
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 40
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss
7.3317 1.0672 500 5.1399
4.6653 2.1345 1000 4.3604
4.1187 3.2017 1500 4.1806
3.8061 4.2689 2000 4.1384

Framework versions

  • Transformers 4.45.1
  • Pytorch 2.4.0
  • Datasets 3.0.1
  • Tokenizers 0.20.0