End of training
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README.md
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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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base_model: petals-team/falcon-rw-1b
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datasets:
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- code_search_net
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model-index:
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- name: falcon-1b-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-1b-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: 0.9849
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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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| 1.2737 | 0.1 | 20 | 1.1782 |
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| 1.2501 | 0.2 | 40 | 1.0921 |
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| 1.1228 | 0.3 | 60 | 1.0788 |
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| 1.0377 | 0.4 | 80 | 1.0385 |
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| 1.11 | 0.5 | 100 | 1.0663 |
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| 1.0493 | 0.6 | 120 | 1.0224 |
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| 1.105 | 0.7 | 140 | 1.0216 |
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| 1.1083 | 0.8 | 160 | 1.0098 |
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| 0.9956 | 0.9 | 180 | 0.9959 |
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| 1.1103 | 1.0 | 200 | 1.0078 |
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| 0.961 | 1.1 | 220 | 0.9895 |
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| 0.9062 | 1.2 | 240 | 0.9929 |
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| 0.9685 | 1.3 | 260 | 0.9913 |
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| 0.9164 | 1.4 | 280 | 0.9855 |
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| 0.9653 | 1.5 | 300 | 0.9851 |
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| 0.8943 | 1.6 | 320 | 0.9849 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.40.0
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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