pytorch clip feature-extraction transformers generated_from_trainer model-index
---
tags:
- generated_from_trainer
model-index:
- name: hug-clip-bid
  results: []
---

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# hug-clip-bid

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: 0.8276

## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0263        | 0.15  | 100  | 1.3193          |
| 0.9187        | 0.29  | 200  | 1.0286          |
| 0.7005        | 0.44  | 300  | 0.9560          |
| 0.5851        | 0.58  | 400  | 0.9433          |
| 0.6122        | 0.73  | 500  | 0.8936          |
| 0.5916        | 0.88  | 600  | 0.8276          |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.12.0
- Datasets 2.3.2
- Tokenizers 0.11.6
