metadata

base_model: keefezowie/my_awesome_model
tags:
  - generated_from_trainer
datasets:
  - emotion
metrics:
  - accuracy
model-index:
  - name: my_awesome_model
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: emotion
          type: emotion
          config: split
          split: test
          args: split
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.8295

my_awesome_model

This model is a fine-tuned version of keefezowie/my_awesome_model on the emotion dataset. It achieves the following results on the evaluation set:

Loss: 0.7587
Accuracy: 0.8295

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: 16
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.3711	1.0	1000	1.1335	0.5795
0.7516	2.0	2000	0.6239	0.8065
0.5061	3.0	3000	0.5523	0.823
0.4381	4.0	4000	0.5857	0.8245
0.3637	5.0	5000	0.5661	0.839
0.3287	6.0	6000	0.5662	0.839
0.296	7.0	7000	0.6437	0.835
0.26	8.0	8000	0.6875	0.831
0.2344	9.0	9000	0.7239	0.8255
0.1989	10.0	10000	0.7587	0.8295

Framework versions

Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1