metadata
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: ASAP_FineTuningBERT_AugV5_k10_task1_organization_fold0
results: []
ASAP_FineTuningBERT_AugV5_k10_task1_organization_fold0
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 7.3201
- Qwk: 0.0
- Mse: 7.3201
- Rmse: 2.7056
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|---|---|---|---|---|---|---|
| No log | 0.25 | 2 | 9.2508 | 0.0 | 9.2508 | 3.0415 |
| No log | 0.5 | 4 | 8.0014 | 0.0 | 8.0014 | 2.8287 |
| No log | 0.75 | 6 | 7.5139 | 0.0 | 7.5139 | 2.7412 |
| No log | 1.0 | 8 | 7.3201 | 0.0 | 7.3201 | 2.7056 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1