metadata
tags:
- generated_from_trainer
base_model: alistvt/bert-base-uncased-pretrained-mlm-coqa-stories
model-index:
- name: bert-base-uncased-pretrain-finetuned-coqa-falt
results: []
bert-base-uncased-pretrain-finetuned-coqa-falt
This model is a fine-tuned version of alistvt/bert-base-uncased-pretrained-mlm-coqa-stories on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.8125
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: 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.4039 | 0.29 | 2000 | 3.0921 |
| 3.1438 | 0.59 | 4000 | 2.8826 |
| 3.0252 | 0.88 | 6000 | 2.7885 |
| 2.7112 | 1.18 | 8000 | 2.7720 |
| 2.6703 | 1.47 | 10000 | 2.7581 |
| 2.6432 | 1.77 | 12000 | 2.7316 |
| 2.385 | 2.06 | 14000 | 2.7798 |
| 2.3314 | 2.36 | 16000 | 2.7836 |
| 2.3433 | 2.65 | 18000 | 2.7650 |
| 2.3604 | 2.95 | 20000 | 2.7585 |
| 2.2232 | 3.24 | 22000 | 2.8120 |
| 2.2094 | 3.53 | 24000 | 2.7945 |
| 2.2306 | 3.83 | 26000 | 2.8125 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.0+cu111
- Datasets 1.18.0
- Tokenizers 0.10.3