---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
base_model: google/mt5-large
model-index:
- name: mt5_emotion_single
  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. -->

# mt5_emotion_single

This model is a fine-tuned version of [google/mt5-large](https://huggingface.co/google/mt5-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6681
- Accuracy: 0.805
- Precision: 0.8255
- Recall: 0.805
- F1: 0.7872

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| No log        | 0.4   | 50   | 1.6075          | 0.205    | 0.2154    | 0.205  | 0.0906 |
| No log        | 0.8   | 100  | 1.5035          | 0.385    | 0.2074    | 0.385  | 0.2506 |
| 1.5333        | 1.2   | 150  | 1.4960          | 0.44     | 0.4163    | 0.44   | 0.3830 |
| 1.5333        | 1.6   | 200  | 0.8993          | 0.73     | 0.7853    | 0.73   | 0.7005 |
| 0.7703        | 2.0   | 250  | 1.2461          | 0.63     | 0.6412    | 0.63   | 0.5691 |
| 0.7703        | 2.4   | 300  | 1.4746          | 0.58     | 0.5874    | 0.58   | 0.5419 |
| 0.7703        | 2.8   | 350  | 1.4532          | 0.605    | 0.6832    | 0.605  | 0.5636 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2