Text Classification
Transformers
PyTorch
Turkish
bert
deprem-clf-v1
Eval Results (legacy)
text-embeddings-inference
Instructions to use deprem-ml/multilabel_earthquake_tweet_intent_bert_base_turkish_cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deprem-ml/multilabel_earthquake_tweet_intent_bert_base_turkish_cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="deprem-ml/multilabel_earthquake_tweet_intent_bert_base_turkish_cased")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("deprem-ml/multilabel_earthquake_tweet_intent_bert_base_turkish_cased") model = AutoModelForSequenceClassification.from_pretrained("deprem-ml/multilabel_earthquake_tweet_intent_bert_base_turkish_cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_metric": 0.1698511838912964, | |
| "best_model_checkpoint": "turkish_multilabel_intent_bert-base-turkish-cased/checkpoint-1392", | |
| "epoch": 4.0, | |
| "global_step": 1392, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_loss": 0.21629461646080017, | |
| "eval_runtime": 0.5092, | |
| "eval_samples_per_second": 1213.581, | |
| "eval_steps_per_second": 76.585, | |
| "step": 348 | |
| }, | |
| { | |
| "epoch": 1.44, | |
| "learning_rate": 3.2040229885057474e-05, | |
| "loss": 0.26, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_loss": 0.17149832844734192, | |
| "eval_runtime": 0.5304, | |
| "eval_samples_per_second": 1165.265, | |
| "eval_steps_per_second": 73.536, | |
| "step": 696 | |
| }, | |
| { | |
| "epoch": 2.87, | |
| "learning_rate": 1.4080459770114942e-05, | |
| "loss": 0.1427, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_loss": 0.17560811340808868, | |
| "eval_runtime": 0.4816, | |
| "eval_samples_per_second": 1283.165, | |
| "eval_steps_per_second": 80.976, | |
| "step": 1044 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_loss": 0.1698511838912964, | |
| "eval_runtime": 0.4895, | |
| "eval_samples_per_second": 1262.401, | |
| "eval_steps_per_second": 79.666, | |
| "step": 1392 | |
| } | |
| ], | |
| "max_steps": 1392, | |
| "num_train_epochs": 4, | |
| "total_flos": 1461686896158720.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |