metadata
library_name: transformers
license: gemma
base_model: google/gemma-2b
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: gemma-2b-finetuned-panx-en
results: []
gemma-2b-finetuned-panx-en
This model is a fine-tuned version of google/gemma-2b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4671
- F1: 0.7391
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: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.4442 | 1.0 | 50 | 0.3559 | 0.7181 |
| 0.1344 | 2.0 | 100 | 0.3856 | 0.7258 |
| 0.0411 | 3.0 | 150 | 0.4671 | 0.7391 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1