metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- BramVanroy/alpaca-dolly-dutch
model-index:
- name: 2e-4lr+512tbs+5ep+32a+4r-v2
results: []
2e-4lr+512tbs+5ep+32a+4r-v2
This model is a fine-tuned version of tiiuae/falcon-40b on the BramVanroy/alpaca-dolly-dutch dataset. It achieves the following results on the evaluation set:
- Loss: 0.9154
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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 16
- gradient_accumulation_steps: 4
- total_train_batch_size: 512
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 150
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1656 | 0.16 | 20 | 1.0107 |
| 0.9778 | 0.32 | 40 | 0.9711 |
| 1.0424 | 0.49 | 60 | 0.9512 |
| 0.9858 | 0.65 | 80 | 0.9415 |
| 0.9457 | 0.81 | 100 | 0.9341 |
| 1.0584 | 0.97 | 120 | 0.9277 |
| 1.0284 | 1.14 | 140 | 0.9372 |
| 0.8781 | 1.3 | 160 | 0.9295 |
| 0.9531 | 1.46 | 180 | 0.9267 |
| 0.9496 | 1.62 | 200 | 0.9226 |
| 0.9178 | 1.78 | 220 | 0.9192 |
| 1.0763 | 1.95 | 240 | 0.9154 |
| 0.9561 | 2.11 | 260 | 0.9423 |
| 0.7991 | 2.27 | 280 | 0.9368 |
| 0.8503 | 2.43 | 300 | 0.9363 |
| 0.8749 | 2.6 | 320 | 0.9299 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3