metadata
license: mit
base_model: pgarco/roberta_cm
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta_cm
results: []
roberta_cm
This model is a fine-tuned version of pgarco/roberta_cm on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5667
- Accuracy: 0.9377
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 132 | 0.3797 | 0.9210 |
| No log | 2.0 | 264 | 0.2178 | 0.9271 |
| No log | 3.0 | 396 | 0.4045 | 0.9119 |
| 0.1408 | 4.0 | 528 | 0.4650 | 0.9271 |
| 0.1408 | 5.0 | 660 | 0.6946 | 0.9073 |
| 0.1408 | 6.0 | 792 | 0.5308 | 0.9347 |
| 0.1408 | 7.0 | 924 | 0.6309 | 0.9210 |
| 0.01 | 8.0 | 1056 | 0.5978 | 0.9331 |
| 0.01 | 9.0 | 1188 | 0.5555 | 0.9377 |
| 0.01 | 10.0 | 1320 | 0.5667 | 0.9377 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1