distilgpt2-CLM-DSM-NoOerlap
This model is a fine-tuned version of CohereForAI/aya-23-8B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7748
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: 2e-06
- train_batch_size: 16
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 110 | 1.8213 |
| No log | 2.0 | 220 | 1.7672 |
| No log | 3.0 | 330 | 1.7748 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.2.1
- Datasets 2.19.2
- Tokenizers 0.19.1
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Base model
CohereForAI/aya-23-8B