---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
datasets:
- emotion
base_model: t5-large
model-index:
- name: output_emotion
  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. -->

# output_emotion

This model is a fine-tuned version of [t5-large](https://huggingface.co/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