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---
tags:
- generated_from_trainer
base_model: alistvt/bert-base-uncased-pretrained-mlm-coqa-stories
model-index:
- name: bert-base-uncased-pretrain-finetuned-coqa-falttened
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-uncased-pretrain-finetuned-coqa-falttened
This model is a fine-tuned version of [alistvt/bert-base-uncased-pretrained-mlm-coqa-stories](https://huggingface.co/alistvt/bert-base-uncased-pretrained-mlm-coqa-stories) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8655
## 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: 5e-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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.2886 | 0.29 | 2000 | 3.0142 |
| 3.0801 | 0.59 | 4000 | 2.8347 |
| 2.9744 | 0.88 | 6000 | 2.7643 |
| 2.494 | 1.18 | 8000 | 2.7605 |
| 2.4417 | 1.47 | 10000 | 2.7790 |
| 2.4042 | 1.77 | 12000 | 2.7382 |
| 2.1285 | 2.06 | 14000 | 2.8588 |
| 2.0569 | 2.36 | 16000 | 2.8937 |
| 2.0794 | 2.65 | 18000 | 2.8511 |
| 2.0679 | 2.95 | 20000 | 2.8655 |
### Framework versions
- Transformers 4.15.0
- Pytorch 1.10.0+cu111
- Datasets 1.17.0
- Tokenizers 0.10.3
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