falcon-1b-code-generation
This model is a fine-tuned version of petals-team/falcon-rw-1b on the code_search_net dataset. It achieves the following results on the evaluation set:
- Loss: 0.9849
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 |
|---|---|---|---|
| 1.2737 | 0.1 | 20 | 1.1782 |
| 1.2501 | 0.2 | 40 | 1.0921 |
| 1.1228 | 0.3 | 60 | 1.0788 |
| 1.0377 | 0.4 | 80 | 1.0385 |
| 1.11 | 0.5 | 100 | 1.0663 |
| 1.0493 | 0.6 | 120 | 1.0224 |
| 1.105 | 0.7 | 140 | 1.0216 |
| 1.1083 | 0.8 | 160 | 1.0098 |
| 0.9956 | 0.9 | 180 | 0.9959 |
| 1.1103 | 1.0 | 200 | 1.0078 |
| 0.961 | 1.1 | 220 | 0.9895 |
| 0.9062 | 1.2 | 240 | 0.9929 |
| 0.9685 | 1.3 | 260 | 0.9913 |
| 0.9164 | 1.4 | 280 | 0.9855 |
| 0.9653 | 1.5 | 300 | 0.9851 |
| 0.8943 | 1.6 | 320 | 0.9849 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Downloads last month
- 5
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for Katochh/falcon-1b-code-generation
Base model
petals-team/falcon-rw-1b
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("petals-team/falcon-rw-1b") model = PeftModel.from_pretrained(base_model, "Katochh/falcon-1b-code-generation")