---
tags:
- generated_from_trainer
model-index:
- name: b2b_paraphrase_retrain
  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. -->

# b2b_paraphrase_retrain

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0760

## 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-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 200
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7654        | 5.0   | 5    | 10.5282         |
| 0.612         | 10.0  | 10   | 7.3206          |
| 0.4323        | 15.0  | 15   | 6.1823          |
| 0.3377        | 20.0  | 20   | 4.8119          |
| 0.2952        | 25.0  | 25   | 4.4300          |
| 0.2734        | 30.0  | 30   | 4.2043          |
| 0.2613        | 35.0  | 35   | 4.0847          |
| 0.2537        | 40.0  | 40   | 3.9372          |
| 0.248         | 45.0  | 45   | 3.8550          |
| 0.2429        | 50.0  | 50   | 3.7778          |
| 0.2392        | 55.0  | 55   | 3.7219          |
| 0.2352        | 60.0  | 60   | 3.6906          |
| 0.2316        | 65.0  | 65   | 3.6539          |
| 0.2275        | 70.0  | 70   | 3.5842          |
| 0.2242        | 75.0  | 75   | 3.5152          |
| 0.2197        | 80.0  | 80   | 3.4511          |
| 0.2155        | 85.0  | 85   | 3.3881          |
| 0.211         | 90.0  | 90   | 3.3397          |
| 0.2061        | 95.0  | 95   | 3.2789          |
| 0.2013        | 100.0 | 100  | 3.2271          |
| 0.1967        | 105.0 | 105  | 3.1762          |
| 0.1915        | 110.0 | 110  | 3.1301          |
| 0.1868        | 115.0 | 115  | 3.1049          |
| 0.1829        | 120.0 | 120  | 3.0994          |
| 0.1784        | 125.0 | 125  | 3.0864          |
| 0.1743        | 130.0 | 130  | 3.0954          |
| 0.1709        | 135.0 | 135  | 3.0665          |
| 0.1683        | 140.0 | 140  | 3.0645          |
| 0.1637        | 145.0 | 145  | 3.0568          |
| 0.1614        | 150.0 | 150  | 3.0681          |
| 0.1573        | 155.0 | 155  | 3.0760          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1