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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: sentence-transformers-msmarco-distilbert-base-tas-b-twitter_sentiment
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. -->
# sentence-transformers-msmarco-distilbert-base-tas-b-twitter_sentiment
This model is a fine-tuned version of [sentence-transformers/msmarco-distilbert-base-tas-b](https://huggingface.co/sentence-transformers/msmarco-distilbert-base-tas-b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6954
- Accuracy: 0.7146
## 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: 1e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.8892 | 1.0 | 1387 | 0.8472 | 0.6180 |
| 0.7965 | 2.0 | 2774 | 0.7797 | 0.6609 |
| 0.7459 | 3.0 | 4161 | 0.7326 | 0.6872 |
| 0.7096 | 4.0 | 5548 | 0.7133 | 0.6995 |
| 0.6853 | 5.0 | 6935 | 0.6998 | 0.7002 |
| 0.6561 | 6.0 | 8322 | 0.6949 | 0.7059 |
| 0.663 | 7.0 | 9709 | 0.6956 | 0.7077 |
| 0.6352 | 8.0 | 11096 | 0.6890 | 0.7164 |
| 0.6205 | 9.0 | 12483 | 0.6888 | 0.7117 |
| 0.6203 | 10.0 | 13870 | 0.6871 | 0.7121 |
| 0.6005 | 11.0 | 15257 | 0.6879 | 0.7171 |
| 0.5985 | 12.0 | 16644 | 0.6870 | 0.7139 |
| 0.5839 | 13.0 | 18031 | 0.6882 | 0.7164 |
| 0.5861 | 14.0 | 19418 | 0.6910 | 0.7124 |
| 0.5732 | 15.0 | 20805 | 0.6916 | 0.7153 |
| 0.5797 | 16.0 | 22192 | 0.6947 | 0.7110 |
| 0.5565 | 17.0 | 23579 | 0.6930 | 0.7175 |
| 0.5636 | 18.0 | 24966 | 0.6959 | 0.7106 |
| 0.5642 | 19.0 | 26353 | 0.6952 | 0.7132 |
| 0.5717 | 20.0 | 27740 | 0.6954 | 0.7146 |
### Framework versions
- Transformers 4.13.0.dev0
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3
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