File size: 1,976 Bytes
9964bfd |
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 |
---
base_model: princeton-nlp/sup-simcse-roberta-large
tags:
- generated_from_trainer
metrics:
- pearsonr
- spearmanr
model-index:
- name: enc_bi_encoder__lr_1e-5__wd_0.1__trans_False__obj_mse__tri_None__s_42
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. -->
# enc_bi_encoder__lr_1e-5__wd_0.1__trans_False__obj_mse__tri_None__s_42
This model is a fine-tuned version of [princeton-nlp/sup-simcse-roberta-large](https://huggingface.co./princeton-nlp/sup-simcse-roberta-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0951
- Mse: 0.0951
- Pearsonr: 0.4802
- Spearmanr: 0.4799
## 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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Mse | Pearsonr | Spearmanr |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:---------:|
| No log | 1.0 | 354 | 0.0973 | 0.0973 | 0.4643 | 0.4659 |
| 0.0949 | 2.0 | 709 | 0.0964 | 0.0964 | 0.4691 | 0.4692 |
| 0.0785 | 3.0 | 1062 | 0.0951 | 0.0951 | 0.4802 | 0.4799 |
### Framework versions
- Transformers 4.37.2
- Pytorch 2.0.1
- Datasets 2.18.0
- Tokenizers 0.15.1
|