bloom_glue_model
This model is a fine-tuned version of bigscience/bloom-560m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2605
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- 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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.7332 | 0.5453 | 500 | 3.2605 |
| 4.2875 | 1.0905 | 1000 | 4.3839 |
| 4.829 | 1.6358 | 1500 | 4.5811 |
| 4.2194 | 2.1810 | 2000 | 4.7790 |
| 4.565 | 2.7263 | 2500 | 5.0586 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for korohan/bloom_glue_model
Base model
bigscience/bloom-560m