File size: 1,758 Bytes
8ac89e9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: tiny-mlm-squad-plain_text-custom-tokenizer
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. -->
# tiny-mlm-squad-plain_text-custom-tokenizer
This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 7.3247
## 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: 3e-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: constant
- num_epochs: 200
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 7.5181 | 0.4 | 500 | 7.5716 |
| 6.4657 | 0.8 | 1000 | 7.5778 |
| 6.2336 | 1.2 | 1500 | 7.4653 |
| 6.0699 | 1.6 | 2000 | 7.4193 |
| 5.946 | 2.0 | 2500 | 7.2908 |
| 5.7981 | 2.4 | 3000 | 7.2710 |
| 5.8332 | 2.8 | 3500 | 7.3876 |
| 5.772 | 3.2 | 4000 | 7.3050 |
| 5.6513 | 3.6 | 4500 | 7.3247 |
### Framework versions
- Transformers 4.26.0.dev0
- Pytorch 1.13.0+cu116
- Datasets 2.8.1.dev0
- Tokenizers 0.13.2
|