---
library_name: transformers
tags:
- generated_from_trainer
datasets:
- coco-karpathy-with-image
model-index:
- name: clip-large-zero-T0.1-P0.5-h0-l1-lr1e-5-250408-gemini
  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-large-zero-T0.1-P0.5-h0-l1-lr1e-5-250408-gemini

This model is a fine-tuned version of [](https://huggingface.co/) on the coco-karpathy-with-image dataset.

## 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: 1e-05
- train_batch_size: 256
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- num_epochs: 5

### Training results



### Framework versions

- Transformers 4.48.3
- Pytorch 2.3.1
- Datasets 3.2.0
- Tokenizers 0.21.0