transformers safetensors t5 generated_from_trainer base_model:boun-tabi-LMG/TURNA license:other endpoints_compatible text-generation-inference region:us
---
license: other
base_model: boun-tabi-LMG/TURNA
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: TURNA_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. -->

# TURNA_emotion_single

This model is a fine-tuned version of [boun-tabi-LMG/TURNA](https://huggingface.co/boun-tabi-LMG/TURNA) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5223
- Accuracy: 0.908
- Precision: 0.9133
- Recall: 0.908
- F1: 0.9065

## 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   | 1.5118          | 0.48     | 0.4815    | 0.48   | 0.3654 |
| No log        | 0.8   | 100  | 0.9884          | 0.655    | 0.8127    | 0.655  | 0.5878 |
| 1.1187        | 1.2   | 150  | 1.2171          | 0.66     | 0.7893    | 0.66   | 0.6006 |
| 1.1187        | 1.6   | 200  | 1.2756          | 0.68     | 0.8250    | 0.68   | 0.6289 |
| 0.1624        | 2.0   | 250  | 1.3194          | 0.715    | 0.8334    | 0.715  | 0.6729 |


### Framework versions

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