tcc-football-events-finetune-EleutherAI_gpt-neo-125M-50k
This model is a fine-tuned version of EleutherAI/gpt-neo-125M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3297
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 |
|---|---|---|---|
| 0.2976 | 1.0 | 20000 | 0.2929 |
| 0.285 | 2.0 | 40000 | 0.2843 |
| 0.2698 | 3.0 | 60000 | 0.2800 |
| 0.2661 | 4.0 | 80000 | 0.2790 |
| 0.2563 | 5.0 | 100000 | 0.2780 |
| 0.2417 | 6.0 | 120000 | 0.2838 |
| 0.218 | 7.0 | 140000 | 0.2962 |
| 0.2014 | 8.0 | 160000 | 0.3085 |
| 0.1872 | 9.0 | 180000 | 0.3214 |
| 0.1704 | 10.0 | 200000 | 0.3297 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for muriloms/tcc-football-events-finetune-EleutherAI_gpt-neo-125M-50k
Base model
EleutherAI/gpt-neo-125m