metadata
license: other
tags:
- generated_from_trainer
base_model: apple/OpenELM-270M
model-index:
- name: gpt2-evy
results: []
gpt2-evy
This model is a fine-tuned version of apple/OpenELM-270M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1525
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 4 | 1.3157 |
| No log | 2.0 | 8 | 1.3995 |
| No log | 3.0 | 12 | 1.5098 |
| No log | 4.0 | 16 | 1.6855 |
| No log | 5.0 | 20 | 1.7936 |
| No log | 6.0 | 24 | 1.8727 |
| No log | 7.0 | 28 | 1.9813 |
| No log | 8.0 | 32 | 2.0602 |
| No log | 9.0 | 36 | 2.1174 |
| No log | 10.0 | 40 | 2.1440 |
| No log | 11.0 | 44 | 2.1525 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1