bloom-560m-CV-keywords-extraction-v0.2
This model is a fine-tuned version of bigscience/bloom-560m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.1842
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.6021 | 0.8621 | 500 | 4.6556 |
| 5.1245 | 1.7241 | 1000 | 4.4110 |
| 3.9478 | 2.5862 | 1500 | 4.2428 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for cherifkhalifah/bloom-560m-CV-keywords-extraction-v0.2
Base model
bigscience/bloom-560m