Text Classification
Transformers
Safetensors
deberta
deberta-v3
multiple-choice
question-answering
awp
Instructions to use dahaludba/QSolver_Encoder_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dahaludba/QSolver_Encoder_V2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dahaludba/QSolver_Encoder_V2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dahaludba/QSolver_Encoder_V2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_global_step": 378, | |
| "best_metric": 0.9938650306748467, | |
| "best_model_checkpoint": "/content/drive/MyDrive/QSolver_Checkpoints/deberta_v3_fold_2/checkpoint-378", | |
| "epoch": 3.0, | |
| "eval_steps": 500, | |
| "global_step": 378, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_loss": 0.5386627316474915, | |
| "eval_map@3": 0.9287661895023858, | |
| "eval_runtime": 69.0607, | |
| "eval_samples_per_second": 7.081, | |
| "eval_steps_per_second": 7.081, | |
| "step": 126 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_loss": 0.16380318999290466, | |
| "eval_map@3": 0.9890933878663939, | |
| "eval_runtime": 69.8564, | |
| "eval_samples_per_second": 7.0, | |
| "eval_steps_per_second": 7.0, | |
| "step": 252 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_loss": 0.09429844468832016, | |
| "eval_map@3": 0.9938650306748467, | |
| "eval_runtime": 69.4963, | |
| "eval_samples_per_second": 7.036, | |
| "eval_steps_per_second": 7.036, | |
| "step": 378 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 504, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 4, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 3384342000695880.0, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |