File size: 2,347 Bytes
ab28395 |
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 |
---
license: apache-2.0
base_model: google/mobilebert-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mobilebert_100exs_10timesteps_run0
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. -->
# mobilebert_100exs_10timesteps_run0
This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 886719.8125
- Accuracy: 0.3
## 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-06
- 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: 16
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 7 | 3096381.5 | 0.3 |
| No log | 2.0 | 14 | 2705231.0 | 0.3 |
| No log | 3.0 | 21 | 2380465.5 | 0.3 |
| No log | 4.0 | 28 | 2136194.5 | 0.3 |
| No log | 5.0 | 35 | 1909053.75 | 0.3 |
| No log | 6.0 | 42 | 1667145.0 | 0.3 |
| No log | 7.0 | 49 | 1493787.75 | 0.3 |
| No log | 8.0 | 56 | 1344492.5 | 0.3 |
| No log | 9.0 | 63 | 1218353.25 | 0.3 |
| No log | 10.0 | 70 | 1119155.375 | 0.3 |
| No log | 11.0 | 77 | 1045936.5 | 0.3 |
| No log | 12.0 | 84 | 987271.5 | 0.3 |
| No log | 13.0 | 91 | 942506.0 | 0.3 |
| No log | 14.0 | 98 | 911861.0 | 0.3 |
| No log | 15.0 | 105 | 893725.875 | 0.3 |
| No log | 16.0 | 112 | 886719.8125 | 0.3 |
### Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu118
- Datasets 2.17.1
- Tokenizers 0.15.2
|