metadata
library_name: transformers
license: other
base_model: facebook/opt-125m
tags:
- generated_from_trainer
model-index:
- name: tcc-football-events-finetune-facebook_opt-125m-10-5k
results: []
tcc-football-events-finetune-facebook_opt-125m-10-5k
This model is a fine-tuned version of facebook/opt-125m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3225
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: 2
- eval_batch_size: 2
- 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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3321 | 1.0 | 2000 | 0.3188 |
| 0.2959 | 2.0 | 4000 | 0.3005 |
| 0.2913 | 3.0 | 6000 | 0.2870 |
| 0.2752 | 4.0 | 8000 | 0.2825 |
| 0.2585 | 5.0 | 10000 | 0.2835 |
| 0.2372 | 6.0 | 12000 | 0.2878 |
| 0.2201 | 7.0 | 14000 | 0.2959 |
| 0.2012 | 8.0 | 16000 | 0.3044 |
| 0.1801 | 9.0 | 18000 | 0.3155 |
| 0.1616 | 10.0 | 20000 | 0.3225 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0