metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: ai-for-all
results: []
ai-for-all
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 4.1334
- eval_runtime: 56.4871
- eval_samples_per_second: 277.072
- eval_steps_per_second: 69.272
- epoch: 2.84
- step: 100000
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0