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colflor_ufo
This model is a fine-tuned version of ahmed-masry/ColFlor on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3226
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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2958 | 0.1636 | 80 | 0.3884 |
| 0.2733 | 0.3272 | 160 | 0.3616 |
| 0.3582 | 0.4908 | 240 | 0.3421 |
| 0.2381 | 0.6544 | 320 | 0.3312 |
| 0.2368 | 0.8180 | 400 | 0.3255 |
| 0.2428 | 0.9816 | 480 | 0.3226 |
Framework versions
- PEFT 0.11.1
- Transformers 4.50.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0
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Base model
ahmed-masry/ColFlor