falcon-rw-1b-code-generation-llm-task2-modelC
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: 1.6594
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: 1e-05
- 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: 600
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.626 | 0.0356 | 20 | 1.7087 |
| 1.9368 | 0.0712 | 40 | 1.6675 |
| 1.4542 | 0.1068 | 60 | 1.6467 |
| 1.2704 | 0.1423 | 80 | 1.6474 |
| 1.1888 | 0.1779 | 100 | 1.6618 |
| 0.9006 | 0.2135 | 120 | 1.6415 |
| 1.1376 | 0.2491 | 140 | 1.6583 |
| 0.9937 | 0.2847 | 160 | 1.6454 |
| 0.8624 | 0.3203 | 180 | 1.6594 |
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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Model tree for Katochh/falcon-rw-1b-code-generation-llm-task2-modelC
Base model
petals-team/falcon-rw-1b