README.md

metadata

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: []

clip-large-zero-T0.1-P0.5-h0-l1-lr1e-5-250408-gemini

This model is a fine-tuned version of 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