clip-mixer-200k
This model is a fine-tuned version of clip-mixer-200k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5681
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9911 | 1.0 | 6250 | 2.7263 |
| 1.2866 | 2.0 | 12500 | 2.5681 |
| 0.6188 | 3.0 | 18750 | 2.6770 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.1
- Tokenizers 0.13.3
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