File size: 1,974 Bytes
6240df4 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 |
---
library_name: peft
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: build_your_circuit_lora_v3
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. -->
# build_your_circuit_lora_v3
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5612
- Bleu: 0.5934
## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 0.7731 | 0.2211 | 500 | 0.6249 | 0.5426 |
| 0.755 | 0.4423 | 1000 | 0.6122 | 0.5651 |
| 0.7409 | 0.6634 | 1500 | 0.6052 | 0.5805 |
| 0.7283 | 0.8846 | 2000 | 0.5954 | 0.5881 |
| 0.7189 | 1.1057 | 2500 | 0.5888 | 0.6041 |
| 0.7068 | 1.3268 | 3000 | 0.5793 | 0.5852 |
| 0.6969 | 1.5480 | 3500 | 0.5710 | 0.5938 |
| 0.6868 | 1.7691 | 4000 | 0.5666 | 0.5882 |
| 0.6811 | 1.9903 | 4500 | 0.5612 | 0.5934 |
### Framework versions
- PEFT 0.15.2
- Transformers 4.56.1
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.22.0 |