metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
datasets:
- emotion
base_model: t5-large
model-index:
- name: output_emotion
results: []
output_emotion
This model is a fine-tuned version of t5-large on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 6.9008
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: 1e-05
- 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
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.3148 | 2.0 | 1800 | 6.9641 |
| 7.243 | 4.0 | 3600 | 6.9008 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.15.0