clip-homer-1m / README.md
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---
base_model: clip-homer-1m
tags:
- generated_from_trainer
model-index:
- name: clip-homer-1m
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-homer-1m
This model is a fine-tuned version of [clip-homer-1m](https://huggingface.co/clip-homer-1m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6790
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.3582 | 1.0 | 31250 | 1.2655 |
| 0.9139 | 2.0 | 62500 | 0.8926 |
| 0.492 | 3.0 | 93750 | 0.6790 |
### Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.1
- Tokenizers 0.13.3