File size: 2,574 Bytes
fc527eb 7d218d5 fc527eb 7d218d5 fc527eb |
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 72 73 74 75 76 77 78 79 80 81 82 83 |
---
license: apache-2.0
base_model: google/t5-efficient-small
tags:
- generated_from_trainer
model-index:
- name: medication-single-t5
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. -->
# medication-single-t5
This model is a fine-tuned version of [google/t5-efficient-small](https://huggingface.co/google/t5-efficient-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0134
## 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: 0.004
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5257 | 0.08 | 100 | 0.2084 |
| 0.1412 | 0.16 | 200 | 0.0880 |
| 0.0902 | 0.23 | 300 | 0.0543 |
| 0.0791 | 0.31 | 400 | 0.0456 |
| 0.072 | 0.39 | 500 | 0.0392 |
| 0.0567 | 0.47 | 600 | 0.0349 |
| 0.0507 | 0.55 | 700 | 0.0312 |
| 0.0493 | 0.63 | 800 | 0.0285 |
| 0.041 | 0.7 | 900 | 0.0246 |
| 0.0423 | 0.78 | 1000 | 0.0255 |
| 0.0382 | 0.86 | 1100 | 0.0247 |
| 0.0375 | 0.94 | 1200 | 0.0217 |
| 0.0298 | 1.02 | 1300 | 0.0211 |
| 0.0327 | 1.09 | 1400 | 0.0198 |
| 0.0272 | 1.17 | 1500 | 0.0195 |
| 0.0301 | 1.25 | 1600 | 0.0183 |
| 0.0259 | 1.33 | 1700 | 0.0179 |
| 0.0273 | 1.41 | 1800 | 0.0164 |
| 0.0244 | 1.49 | 1900 | 0.0163 |
| 0.0222 | 1.56 | 2000 | 0.0161 |
| 0.0214 | 1.64 | 2100 | 0.0158 |
| 0.0199 | 1.72 | 2200 | 0.0146 |
| 0.0202 | 1.8 | 2300 | 0.0141 |
| 0.0214 | 1.88 | 2400 | 0.0135 |
| 0.018 | 1.95 | 2500 | 0.0134 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.7
- Tokenizers 0.14.1
|