Edit model card

idefics-9b-ft-describe-diffusion-bf16

This model is a fine-tuned version of HuggingFaceM4/idefics-9b on the diffusiondb dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4081

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: 0.0002
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 32
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss
2.0874 0.07 50 2.1257
2.0532 0.14 100 1.9973
1.9417 0.21 150 1.9246
1.8358 0.28 200 1.8735
1.8499 0.36 250 1.8305
1.7695 0.43 300 1.7770
1.7505 0.5 350 1.7454
1.713 0.57 400 1.7115
1.7352 0.64 450 1.6791
1.6689 0.71 500 1.6526
1.6183 0.78 550 1.6257
1.6118 0.85 600 1.6001
1.6095 0.92 650 1.5800
1.5598 1.0 700 1.5598
1.4785 1.07 750 1.5403
1.4999 1.14 800 1.5219
1.4589 1.21 850 1.5063
1.4559 1.28 900 1.4942
1.4332 1.35 950 1.4792
1.4859 1.42 1000 1.4658
1.3888 1.49 1050 1.4537
1.4032 1.56 1100 1.4445
1.3702 1.64 1150 1.4352
1.3625 1.71 1200 1.4276
1.4067 1.78 1250 1.4199
1.3829 1.85 1300 1.4149
1.4251 1.92 1350 1.4103
1.3619 1.99 1400 1.4081

Framework versions

  • Transformers 4.32.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference API
Unable to determine this model's library. Check the docs .

Model tree for mrm8488/idefics-9b-ft-describe-diffusion-bf16-adapter

Finetuned
(3)
this model

Spaces using mrm8488/idefics-9b-ft-describe-diffusion-bf16-adapter 3