Text Classification
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distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("Chris2me/distilbert-base-uncased_emotion_ft_0416")
model = AutoModelForSequenceClassification.from_pretrained("Chris2me/distilbert-base-uncased_emotion_ft_0416", device_map="auto")Quick Links
distilbert-base-uncased_emotion_ft_0416
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.1420
- Accuracy: 0.9375
- F1: 0.9376
- Precision: 0.9077
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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 | Accuracy | F1 | Precision |
|---|---|---|---|---|---|---|
| 0.2093 | 1.0 | 250 | 0.1715 | 0.9345 | 0.9349 | 0.9042 |
| 0.1325 | 2.0 | 500 | 0.1523 | 0.9335 | 0.9340 | 0.8994 |
| 0.1017 | 3.0 | 750 | 0.1437 | 0.9365 | 0.9369 | 0.9029 |
| 0.08 | 4.0 | 1000 | 0.1420 | 0.9375 | 0.9376 | 0.9077 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for Chris2me/distilbert-base-uncased_emotion_ft_0416
Base model
distilbert/distilbert-base-uncasedDataset used to train Chris2me/distilbert-base-uncased_emotion_ft_0416
Evaluation results
- Accuracy on emotionvalidation set self-reported0.938
- F1 on emotionvalidation set self-reported0.938
- Precision on emotionvalidation set self-reported0.908
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Chris2me/distilbert-base-uncased_emotion_ft_0416")