metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - tamilmixsentiment
metrics:
  - accuracy
model_index:
  - name: tamil-sentiment-distilbert
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: tamilmixsentiment
          type: tamilmixsentiment
          args: default
        metric:
          name: Accuracy
          type: accuracy
          value: 0.665

tamil-sentiment-distilbert

This model is a fine-tuned version of distilbert-base-cased on the tamilmixsentiment dataset. It achieves the following results on the evaluation set:

Loss: 1.0230
Accuracy: 0.665

Dataset Information

text: Tamil-English code-mixed comment.
label: list of the possible sentiments
- LABEL_0: "Positive",
- LABEL_1: "Negative",
- LABEL_2: "Mixed_feelings",
- LABEL_3: "unknown_state",
- LABEL_4: "not-Tamil"

Intended uses & limitations

This model was just created for doing classification task on tamilmixsentiment dataset

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 0
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0442	1.0	250	0.9883	0.674
0.9227	2.0	500	0.9782	0.673
0.7591	3.0	750	1.0230	0.665

Framework versions

Transformers 4.9.2
Pytorch 1.9.0+cu102
Datasets 1.11.0
Tokenizers 0.10.3