metadata
library_name: transformers
license: mit
base_model: EleutherAI/gpt-neo-125M
tags:
- generated_from_trainer
model-index:
- name: squad_results
results: []
squad_results
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: 6.2957
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use 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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 15 | 5.5286 |
| No log | 2.0 | 30 | 5.6499 |
| No log | 3.0 | 45 | 5.7365 |
| No log | 4.0 | 60 | 5.8599 |
| No log | 5.0 | 75 | 5.9417 |
| No log | 6.0 | 90 | 6.0606 |
| No log | 7.0 | 105 | 6.1215 |
| No log | 8.0 | 120 | 6.1976 |
| No log | 9.0 | 135 | 6.2711 |
| No log | 10.0 | 150 | 6.2957 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3