metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: finetuning-code-summarization-3000-samples
results: []
finetuning-code-summarization-3000-samples
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0421
- eval_runtime: 8.9366
- eval_samples_per_second: 33.57
- eval_steps_per_second: 16.785
- step: 0
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1