metadata
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 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6758
- F1: 0.5315
- Accuracy: 0.5315
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
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 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1