---
tags:
- generated_from_trainer
model-index:
- name: sage-sun-183
  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. -->

# sage-sun-183

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: 0.4068

## 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: 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: 6

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 1.8707        | 0.33  | 10000  | 1.7220          |
| 1.0826        | 0.66  | 20000  | 0.9204          |
| 0.848         | 1.0   | 30000  | 0.7144          |
| 0.7423        | 1.33  | 40000  | 0.6175          |
| 0.6723        | 1.66  | 50000  | 0.5598          |
| 0.6225        | 1.99  | 60000  | 0.5218          |
| 0.6015        | 2.32  | 70000  | 0.4942          |
| 0.5711        | 2.66  | 80000  | 0.4760          |
| 0.5607        | 2.99  | 90000  | 0.4600          |
| 0.5665        | 3.32  | 100000 | 0.4479          |
| 0.5367        | 3.65  | 110000 | 0.4394          |
| 0.5239        | 3.98  | 120000 | 0.4306          |
| 0.4998        | 4.32  | 130000 | 0.4243          |
| 0.5065        | 4.65  | 140000 | 0.4193          |
| 0.5049        | 4.98  | 150000 | 0.4138          |
| 0.5047        | 5.31  | 160000 | 0.4107          |
| 0.507         | 5.64  | 170000 | 0.4086          |
| 0.4996        | 5.98  | 180000 | 0.4074          |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.14.5
- Tokenizers 0.13.3