End of training

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+datasets:
+- code_search_net
+base_model: petals-team/falcon-rw-1b
+model-index:
+- name: falcon-code-generation
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# falcon-code-generation
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.9946
+
+## 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: 0.0002
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.2494        | 0.01  | 20   | 1.2566          |
+| 1.2362        | 0.02  | 40   | 1.1664          |
+| 1.3029        | 0.03  | 60   | 1.1197          |
+| 1.1248        | 0.04  | 80   | 1.0829          |
+| 1.2031        | 0.04  | 100  | 1.0871          |
+| 1.0559        | 0.05  | 120  | 1.0503          |
+| 1.1049        | 0.06  | 140  | 1.0452          |
+| 1.1459        | 0.07  | 160  | 1.0415          |
+| 1.0521        | 0.08  | 180  | 1.0262          |
+| 1.2023        | 0.09  | 200  | 1.0233          |
+| 0.9935        | 0.1   | 220  | 1.0112          |
+| 1.016         | 0.11  | 240  | 1.0035          |
+| 1.1182        | 0.12  | 260  | 0.9993          |
+| 1.0044        | 0.12  | 280  | 0.9957          |
+| 1.0908        | 0.13  | 300  | 0.9949          |
+| 0.9208        | 0.14  | 320  | 0.9946          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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