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

# rc_gale_control

This model is a fine-tuned version of [rcgale/psst-apr-baseline](https://huggingface.co/rcgale/psst-apr-baseline) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6660

## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 22.794        | 3.33  | 50   | 3.7917          |
| 3.8262        | 6.67  | 100  | 3.6084          |
| 3.8023        | 10.0  | 150  | 3.6962          |
| 3.7283        | 13.33 | 200  | 3.6746          |
| 3.7173        | 16.67 | 250  | 3.6904          |
| 3.707         | 20.0  | 300  | 3.6909          |
| 3.7075        | 23.33 | 350  | 3.6785          |
| 3.6839        | 26.67 | 400  | 3.6769          |
| 3.7002        | 30.0  | 450  | 3.6660          |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.2