File size: 2,502 Bytes
d5b7811 775bd58 d5b7811 775bd58 d5b7811 775bd58 d5b7811 775bd58 d5b7811 775bd58 d5b7811 | 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 | ---
library_name: transformers
language:
- en
base_model: Hartunka/tiny_bert_rand_5_v2
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: tiny_bert_rand_5_v2_stsb
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE STSB
type: glue
args: stsb
metrics:
- name: Spearmanr
type: spearmanr
value: 0.2033573197630174
---
<!-- 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_bert_rand_5_v2_stsb
This model is a fine-tuned version of [Hartunka/tiny_bert_rand_5_v2](https://huggingface.co/Hartunka/tiny_bert_rand_5_v2) on the GLUE STSB dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2907
- Pearson: 0.2162
- Spearmanr: 0.2034
- Combined Score: 0.2098
## 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: 256
- eval_batch_size: 256
- seed: 10
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50
### Training results
| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
| 3.1743 | 1.0 | 23 | 2.2973 | 0.1229 | 0.1070 | 0.1149 |
| 2.0355 | 2.0 | 46 | 2.5679 | 0.1150 | 0.1022 | 0.1086 |
| 1.8438 | 3.0 | 69 | 2.2907 | 0.2162 | 0.2034 | 0.2098 |
| 1.6639 | 4.0 | 92 | 2.3388 | 0.2725 | 0.2702 | 0.2714 |
| 1.3815 | 5.0 | 115 | 2.3873 | 0.2710 | 0.2714 | 0.2712 |
| 1.1561 | 6.0 | 138 | 2.3997 | 0.2922 | 0.2918 | 0.2920 |
| 0.9378 | 7.0 | 161 | 2.4841 | 0.3049 | 0.3078 | 0.3064 |
| 0.7814 | 8.0 | 184 | 2.5902 | 0.2925 | 0.2950 | 0.2938 |
### Framework versions
- Transformers 4.50.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.21.1
|