Text Classification
Transformers
Safetensors
English
distilbert
sentiment
football
fine-tuning
text-embeddings-inference
Instructions to use kevinkyi/Homework2_Finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kevinkyi/Homework2_Finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kevinkyi/Homework2_Finetuning")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kevinkyi/Homework2_Finetuning") model = AutoModelForSequenceClassification.from_pretrained("kevinkyi/Homework2_Finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 244 Bytes
e52e268 | 1 2 3 4 5 6 7 8 9 10 11 | {
"eval_loss": 0.0029852271545678377,
"eval_accuracy": 1.0,
"eval_precision": 1.0,
"eval_recall": 1.0,
"eval_f1": 1.0,
"eval_runtime": 0.3123,
"eval_samples_per_second": 352.273,
"eval_steps_per_second": 22.417,
"epoch": 4.0
} |