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smoll_pippa
This model was trained from scratch on the smoll_pippa dataset. It achieves the following results on the evaluation set:
- Loss: 1.6736
Model description
Dataset trained on mistralai/Mistral-7B-v0.1
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6421 | 0.16 | 50 | 1.6217 |
| 1.6288 | 0.31 | 100 | 1.6144 |
| 1.5725 | 0.47 | 150 | 1.6102 |
| 1.5582 | 0.62 | 200 | 1.6065 |
| 1.6055 | 0.78 | 250 | 1.6051 |
| 1.5733 | 0.93 | 300 | 1.6023 |
| 1.4885 | 1.09 | 350 | 1.6130 |
| 1.484 | 1.24 | 400 | 1.6169 |
| 1.4354 | 1.4 | 450 | 1.6194 |
| 1.4427 | 1.56 | 500 | 1.6187 |
| 1.4687 | 1.71 | 550 | 1.6178 |
| 1.461 | 1.87 | 600 | 1.6174 |
| 1.327 | 2.02 | 650 | 1.6341 |
| 1.3015 | 2.18 | 700 | 1.6665 |
| 1.3328 | 2.33 | 750 | 1.6714 |
| 1.3453 | 2.49 | 800 | 1.6718 |
| 1.3458 | 2.64 | 850 | 1.6725 |
| 1.3016 | 2.8 | 900 | 1.6737 |
| 1.3018 | 2.95 | 950 | 1.6736 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
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