Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use chathuranga-jayanath/codet5-small-v19 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chathuranga-jayanath/codet5-small-v19 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("chathuranga-jayanath/codet5-small-v19") model = AutoModelForSeq2SeqLM.from_pretrained("chathuranga-jayanath/codet5-small-v19") - Notebooks
- Google Colab
- Kaggle
codet5-small-v19
This model is a fine-tuned version of Salesforce/codet5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7652
- Bleu Score: 0.0058
- Gen Len: 13.079
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: 2e-05
- train_batch_size: 30
- eval_batch_size: 30
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu Score | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 267 | 0.8511 | 0.0058 | 13.054 |
| 1.0751 | 2.0 | 534 | 0.7826 | 0.0058 | 13.117 |
| 1.0751 | 3.0 | 801 | 0.7652 | 0.0058 | 13.079 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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Base model
Salesforce/codet5-small