Text Classification
Transformers
PyTorch
TensorBoard
English
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use LysandreJik/testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LysandreJik/testing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LysandreJik/testing")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LysandreJik/testing") model = AutoModelForSequenceClassification.from_pretrained("LysandreJik/testing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 598 Bytes
f949bfa 25c3757 f949bfa | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | {
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.0027262813522355507,
"global_step": 10,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0,
"step": 10,
"total_flos": 331168496640.0,
"train_loss": 0.6649961948394776,
"train_runtime": 0.5463,
"train_samples_per_second": 18.306,
"train_steps_per_second": 18.306
}
],
"max_steps": 10,
"num_train_epochs": 1,
"total_flos": 331168496640.0,
"trial_name": null,
"trial_params": null
}
|