metadata
library_name: transformers
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: Finetuning_T5_HealthCare_Chatbot
results: []
Finetuning_T5_HealthCare_Chatbot
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1304
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1198 | 1.0 | 5660 | 0.1464 |
| 0.1098 | 2.0 | 11320 | 0.1402 |
| 0.1032 | 3.0 | 16980 | 0.1373 |
| 0.1016 | 4.0 | 22640 | 0.1349 |
| 0.1019 | 5.0 | 28300 | 0.1331 |
| 0.0972 | 6.0 | 33960 | 0.1321 |
| 0.0964 | 7.0 | 39620 | 0.1313 |
| 0.0947 | 8.0 | 45280 | 0.1308 |
| 0.0959 | 9.0 | 50940 | 0.1305 |
| 0.0933 | 10.0 | 56600 | 0.1304 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.20.3