falcon-rw-1b-code-generation-llm-task2
This model is a fine-tuned version of petals-team/falcon-rw-1b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0581
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: 0.0001
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 320
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3318 | 0.1 | 20 | 1.3407 |
| 1.2643 | 0.2 | 40 | 1.1844 |
| 1.1681 | 0.3 | 60 | 1.1522 |
| 1.0891 | 0.4 | 80 | 1.1209 |
| 1.2164 | 0.5 | 100 | 1.1265 |
| 1.0855 | 0.6 | 120 | 1.1010 |
| 1.1129 | 0.7 | 140 | 1.0897 |
| 1.1169 | 0.8 | 160 | 1.0799 |
| 1.0664 | 0.9 | 180 | 1.0706 |
| 1.1483 | 1.0 | 200 | 1.0756 |
| 0.9707 | 1.1 | 220 | 1.0625 |
| 1.0102 | 1.2 | 240 | 1.0624 |
| 1.0805 | 1.3 | 260 | 1.0615 |
| 0.969 | 1.4 | 280 | 1.0580 |
| 1.118 | 1.5 | 300 | 1.0582 |
| 0.9883 | 1.6 | 320 | 1.0581 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Base model
petals-team/falcon-rw-1b