Edit model card

Visualize in Weights & Biases

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: 5.2258

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: 6

Training results

Training Loss Epoch Step Validation Loss
7.8551 2.5974 500 6.0543
5.4431 5.1948 1000 5.2258

Framework versions

  • Transformers 4.42.3
  • Pytorch 2.1.2
  • Datasets 2.20.0
  • Tokenizers 0.19.1
Downloads last month
33
Safetensors
Model size
127M params
Tensor type
F32
·
Inference API
Unable to determine this model's library. Check the docs .

Model tree for betteib/tn_bacem_gpt2

Finetuned
(1104)
this model