metadata
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: MulticlassReaction_tr
results: []
MulticlassReaction_tr
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6065
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 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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6598 | 1.0 | 309 | 0.6406 |
| 0.5017 | 2.0 | 618 | 0.6065 |
| 0.3148 | 3.0 | 927 | 0.6979 |
| 0.2175 | 4.0 | 1236 | 0.9272 |
Framework versions
- Transformers 5.16.1
- Pytorch 2.14.0+cpu
- Datasets 5.0.1
- Tokenizers 0.23.2