gpt-neo-125m
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: 1.5085
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: 1
- eval_batch_size: 1
- 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7252 | 1.0 | 8233 | 2.3500 |
| 2.3376 | 2.0 | 16466 | 1.9826 |
| 2.0286 | 3.0 | 24699 | 1.6798 |
| 1.6443 | 4.0 | 32932 | 1.5085 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.2.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Downloads last month
- 158
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.