metadata
license: mit
base_model: allistair99/tinybert-6l-768d-BiLSTM-finetuned-squad-optiparam
tags:
- generated_from_trainer
datasets:
- srh_test66
model-index:
- name: >-
tinybert-6l-768d-squad2-finetuned-SRH-v2-BiLSTM-finetuned-SRH-optiparam-unfrozen-v3
results: []
tinybert-6l-768d-squad2-finetuned-SRH-v2-BiLSTM-finetuned-SRH-optiparam-unfrozen-v3
This model is a fine-tuned version of allistair99/tinybert-6l-768d-BiLSTM-finetuned-squad-optiparam on the srh_test66 dataset. It achieves the following results on the evaluation set:
- Loss: 1.8185
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 42 | 1.8908 |
| No log | 2.0 | 84 | 1.7989 |
| No log | 3.0 | 126 | 1.8185 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1