metadata
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
model-index:
- name: >-
token-classification-llmlingua2-phobert-bctn-2308_sample-10_epoch_best_data
results: []
token-classification-llmlingua2-phobert-bctn-2308_sample-10_epoch_best_data
This model is a fine-tuned version of vinai/phobert-base-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3044
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: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 58 | 0.3799 |
| No log | 2.0 | 116 | 0.3286 |
| No log | 3.0 | 174 | 0.3129 |
| No log | 4.0 | 232 | 0.3105 |
| No log | 5.0 | 290 | 0.3104 |
| No log | 6.0 | 348 | 0.3064 |
| No log | 7.0 | 406 | 0.3045 |
| No log | 8.0 | 464 | 0.3049 |
| 0.3309 | 9.0 | 522 | 0.3044 |
| 0.3309 | 10.0 | 580 | 0.3054 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2