---
base_model: clip-homer-2m
tags:
- generated_from_trainer
model-index:
- name: clip-homer-2m
  results: []
---

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# clip-homer-2m

This model is a fine-tuned version of [clip-homer-2m](https://huggingface.co/clip-homer-2m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5687

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 1.4564        | 1.0   | 62500  | 1.1970          |
| 1.0737        | 2.0   | 125000 | 0.8098          |
| 0.6867        | 3.0   | 187500 | 0.5687          |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.1
- Tokenizers 0.13.3