How to use Emil7018/classifier-chapter4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Emil7018/classifier-chapter4")
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Emil7018/classifier-chapter4") model = AutoModelForSequenceClassification.from_pretrained("Emil7018/classifier-chapter4", device_map="auto")
bf4f857 5197ab6 bf4f857
1
2
3
4
5
6
7
8
9
{ "epoch": 5.0, "eval_accuracy": 0.9136842105263158, "eval_f1": 0.913706861891657, "eval_loss": 0.2539348006248474, "eval_runtime": 24.0466, "eval_samples_per_second": 316.053, "eval_steps_per_second": 9.897 }
