20240726-kibbe-prod-acr-baseline
This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0263
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.9588 | 0.4310 | 500 | 0.0340 |
0.6942 | 0.8621 | 1000 | 0.0321 |
0.7587 | 1.2931 | 1500 | 0.0276 |
0.5448 | 1.7241 | 2000 | 0.0263 |
Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
Model tree for tctrautman/20240726-kibbe-prod-acr-baseline
Base model
HuggingFaceM4/idefics2-8b