llama-68m-finetuned-wikitext2
This model is a fine-tuned version of JackFram/llama-68m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.9290
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: 0.0003
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 175 | 3.1817 |
| No log | 2.0 | 350 | 3.2699 |
| 2.5169 | 3.0 | 525 | 3.4555 |
| 2.5169 | 4.0 | 700 | 3.6923 |
| 2.5169 | 5.0 | 875 | 3.9542 |
| 1.5624 | 6.0 | 1050 | 4.2089 |
| 1.5624 | 7.0 | 1225 | 4.4777 |
| 1.5624 | 8.0 | 1400 | 4.7426 |
| 0.841 | 9.0 | 1575 | 4.9898 |
| 0.841 | 10.0 | 1750 | 5.2385 |
| 0.841 | 11.0 | 1925 | 5.4648 |
| 0.3788 | 12.0 | 2100 | 5.6607 |
| 0.3788 | 13.0 | 2275 | 5.8074 |
| 0.3788 | 14.0 | 2450 | 5.8933 |
| 0.1474 | 15.0 | 2625 | 5.9290 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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Base model
JackFram/llama-68m