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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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datasets: |
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- code_search_net |
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base_model: petals-team/falcon-rw-1b |
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model-index: |
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- name: falcon-code-generation |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# falcon-code-generation |
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This model is a fine-tuned version of [petals-team/falcon-rw-1b](https://huggingface.co/petals-team/falcon-rw-1b) on the code_search_net dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9946 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 4 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.03 |
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- training_steps: 320 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.2494 | 0.01 | 20 | 1.2566 | |
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| 1.2362 | 0.02 | 40 | 1.1664 | |
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| 1.3029 | 0.03 | 60 | 1.1197 | |
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| 1.1248 | 0.04 | 80 | 1.0829 | |
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| 1.2031 | 0.04 | 100 | 1.0871 | |
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| 1.0559 | 0.05 | 120 | 1.0503 | |
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| 1.1049 | 0.06 | 140 | 1.0452 | |
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| 1.1459 | 0.07 | 160 | 1.0415 | |
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| 1.0521 | 0.08 | 180 | 1.0262 | |
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| 1.2023 | 0.09 | 200 | 1.0233 | |
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| 0.9935 | 0.1 | 220 | 1.0112 | |
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| 1.016 | 0.11 | 240 | 1.0035 | |
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| 1.1182 | 0.12 | 260 | 0.9993 | |
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| 1.0044 | 0.12 | 280 | 0.9957 | |
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| 1.0908 | 0.13 | 300 | 0.9949 | |
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| 0.9208 | 0.14 | 320 | 0.9946 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
