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