trained-tinyllama
This model is a fine-tuned version of PY007/TinyLlama-1.1B-intermediate-step-715k-1.5T on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9312
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-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9528 | 1.92 | 50 | 0.9625 |
| 0.9252 | 3.85 | 100 | 0.9312 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
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Evaluation results
- acc on agievalself-reported0.433
- acc on winograndeself-reported0.736
- acc on gsgsm8kself-reported0.6
- en_content_to_title_acc on gdprself-reported0.7
- en_title_to_content_acc on gdprself-reported0.6
- acc on truthfulqaself-reported0.501