out
This model is a fine-tuned version of cyberagent/calm2-7b-chat on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.2941
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: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- gradient_accumulation_steps: 2
- total_train_batch_size: 6
- total_eval_batch_size: 3
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.5899 | 0.0 | 1 | 4.1781 |
| 3.4689 | 0.05 | 352 | 3.5988 |
| 3.519 | 0.1 | 704 | 3.6209 |
| 3.4168 | 0.15 | 1056 | 3.6161 |
| 3.4906 | 0.2 | 1408 | 3.6054 |
| 3.4853 | 0.25 | 1760 | 3.5950 |
| 3.475 | 0.3 | 2112 | 3.5806 |
| 3.2476 | 0.35 | 2464 | 3.5675 |
| 3.2339 | 0.4 | 2816 | 3.5398 |
| 3.3711 | 0.45 | 3168 | 3.5233 |
| 3.4195 | 0.5 | 3520 | 3.5006 |
| 3.1105 | 0.55 | 3872 | 3.4804 |
| 3.2477 | 0.6 | 4224 | 3.4546 |
| 3.2753 | 0.65 | 4576 | 3.4311 |
| 3.1867 | 0.7 | 4928 | 3.4054 |
| 3.2009 | 0.75 | 5280 | 3.3783 |
| 3.1037 | 0.8 | 5632 | 3.3509 |
| 3.0394 | 0.85 | 5984 | 3.3314 |
| 3.0759 | 0.9 | 6336 | 3.3095 |
| 3.1989 | 0.95 | 6688 | 3.2941 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Base model
cyberagent/calm2-7b-chat