falcon-7b-ft-codeAlpaca_20k
This model is a fine-tuned version of ybelkada/falcon-7b-sharded-bf16 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7470
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7623 | 0.18 | 50 | 0.7899 |
| 0.7985 | 0.35 | 100 | 0.7680 |
| 0.7551 | 0.53 | 150 | 0.7570 |
| 0.7261 | 0.71 | 200 | 0.7499 |
| 0.8184 | 0.89 | 250 | 0.7461 |
| 0.7067 | 1.06 | 300 | 0.7480 |
| 0.6801 | 1.24 | 350 | 0.7463 |
| 0.6432 | 1.42 | 400 | 0.7423 |
| 0.7141 | 1.6 | 450 | 0.7398 |
| 0.669 | 1.77 | 500 | 0.7383 |
| 0.7177 | 1.95 | 550 | 0.7342 |
| 0.6419 | 2.13 | 600 | 0.7553 |
| 0.6395 | 2.3 | 650 | 0.7510 |
| 0.6255 | 2.48 | 700 | 0.7498 |
| 0.5556 | 2.66 | 750 | 0.7474 |
| 0.6592 | 2.84 | 800 | 0.7470 |
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3