--- library_name: transformers license: apache-2.0 base_model: albert-base-v2 tags: - generated_from_trainer metrics: - f1 - accuracy model-index: - name: empathetic_dialogues_context_classification results: [] --- # empathetic_dialogues_context_classification This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on empatheticDialogues dataset. It achieves the following results on the evaluation set: - Loss: 1.6758 - F1: 0.5315 - Accuracy: 0.5315 ## Access to Code https://gist.github.com/zolfaShefreie/ae87ac2944e4f7b24609e0c28fde8449 ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 1e-05 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: constant - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:| | 2.3973 | 1.0 | 558 | 2.2506 | 0.4080 | 0.4080 | | 1.7624 | 2.0 | 1116 | 1.8044 | 0.4870 | 0.4870 | | 1.5362 | 3.0 | 1674 | 1.6312 | 0.5094 | 0.5094 | | 1.3443 | 4.0 | 2232 | 1.6225 | 0.5145 | 0.5145 | | 1.2083 | 5.0 | 2790 | 1.5858 | 0.5355 | 0.5355 | | 1.079 | 6.0 | 3348 | 1.5721 | 0.5409 | 0.5409 | | 0.9522 | 7.0 | 3906 | 1.5888 | 0.5308 | 0.5308 | | 0.8075 | 8.0 | 4464 | 1.6758 | 0.5315 | 0.5315 | ### Evaloation Result on EmpatheticDialogues dataset (test split) and using whole history as input: ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6503ebdce88eb2d0d51b33a8/NiJotkJsPDyihziT9gmz9.png) on [empathetic-dialogues-contexts](https://huggingface.co/datasets/bdotloh/empathetic-dialogues-contexts) dataset (test split): ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6503ebdce88eb2d0d51b33a8/QusXIpjz0A0vf_R77szMu.png) ### Framework versions - Transformers 4.44.2 - Pytorch 2.5.0+cu121 - Datasets 3.0.2 - Tokenizers 0.19.1