---
tags:
- generated_from_trainer
model-index:
- name: clip-roberta-finetuned
  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. -->

# clip-roberta-finetuned

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: 7.7902

## 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: 80
- eval_batch_size: 150
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 150.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2125        | 15.0  | 240  | 7.3975          |
| 0.2662        | 30.0  | 480  | 7.6902          |
| 0.0878        | 45.0  | 720  | 7.7278          |
| 0.0478        | 60.0  | 960  | 7.7675          |
| 0.0271        | 75.0  | 1200 | 7.8001          |
| 0.0204        | 90.0  | 1440 | 7.7704          |
| 0.0153        | 105.0 | 1680 | 7.7562          |
| 0.0144        | 120.0 | 1920 | 7.7687          |
| 0.0118        | 135.0 | 2160 | 7.7854          |
| 0.0109        | 150.0 | 2400 | 7.7902          |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1