metadata
library_name: transformers
license: apache-2.0
base_model: google/electra-large-discriminator
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: electra-large-discriminator_Climate_Native
results: []
electra-large-discriminator_Climate_Native
This model is a fine-tuned version of google/electra-large-discriminator on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4733
- Accuracy: 0.2192
- Macro Precision: 0.1476
- Macro F1: 0.1424
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro Precision | Macro F1 |
|---|---|---|---|---|---|---|
| No log | 1.0 | 54 | 2.5329 | 0.1324 | 0.1095 | 0.0514 |
| No log | 2.0 | 108 | 2.5284 | 0.0868 | 0.1289 | 0.0631 |
| No log | 3.0 | 162 | 2.4963 | 0.1096 | 0.0358 | 0.0548 |
| No log | 4.0 | 216 | 2.4749 | 0.1644 | 0.0427 | 0.0636 |
| No log | 5.0 | 270 | 2.4567 | 0.1553 | 0.0468 | 0.0679 |
| No log | 6.0 | 324 | 2.4476 | 0.1735 | 0.0947 | 0.1044 |
| No log | 7.0 | 378 | 2.4474 | 0.1918 | 0.1707 | 0.1138 |
| No log | 8.0 | 432 | 2.4225 | 0.1872 | 0.1311 | 0.1320 |
| No log | 9.0 | 486 | 2.4685 | 0.2100 | 0.1621 | 0.1345 |
| 2.0773 | 10.0 | 540 | 2.4740 | 0.2009 | 0.1436 | 0.1314 |
| 2.0773 | 11.0 | 594 | 2.4529 | 0.2192 | 0.1667 | 0.1591 |
| 2.0773 | 12.0 | 648 | 2.4733 | 0.2192 | 0.1476 | 0.1424 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2