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falcon-rw-1b-code-gen-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: 1.1783
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: 320
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6083 | 0.2 | 40 | 1.5153 |
| 1.4854 | 0.4 | 80 | 1.3644 |
| 1.3717 | 0.6 | 120 | 1.2477 |
| 1.244 | 0.8 | 160 | 1.2093 |
| 1.2581 | 1.0 | 200 | 1.1897 |
| 1.1757 | 1.2 | 240 | 1.1816 |
| 1.2085 | 1.4 | 280 | 1.1787 |
| 1.1808 | 1.6 | 320 | 1.1783 |
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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