File size: 2,536 Bytes
9d3168e 27bf9a7 9d3168e 27bf9a7 9d3168e 27bf9a7 9d3168e 27bf9a7 9d3168e 27bf9a7 9d3168e |
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 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 |
---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: mobilebert_add_GLUE_Experiment_cola_128
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE COLA
type: glue
config: cola
split: validation
args: cola
metrics:
- name: Matthews Correlation
type: matthews_correlation
value: 0.0
---
<!-- 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. -->
# mobilebert_add_GLUE_Experiment_cola_128
This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the GLUE COLA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6168
- Matthews Correlation: 0.0
## 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: 128
- eval_batch_size: 128
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
### Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.617 | 1.0 | 67 | 0.6181 | 0.0 |
| 0.608 | 2.0 | 134 | 0.6181 | 0.0 |
| 0.6075 | 3.0 | 201 | 0.6183 | 0.0 |
| 0.6072 | 4.0 | 268 | 0.6177 | 0.0 |
| 0.6069 | 5.0 | 335 | 0.6185 | 0.0 |
| 0.606 | 6.0 | 402 | 0.6168 | 0.0 |
| 0.6014 | 7.0 | 469 | 0.6234 | 0.0 |
| 0.5947 | 8.0 | 536 | 0.6218 | 0.0 |
| 0.5858 | 9.0 | 603 | 0.6321 | 0.0 |
| 0.579 | 10.0 | 670 | 0.6177 | 0.0464 |
| 0.5762 | 11.0 | 737 | 0.6185 | 0.0464 |
### Framework versions
- Transformers 4.26.0
- Pytorch 1.14.0a0+410ce96
- Datasets 2.8.0
- Tokenizers 0.13.2
|